Technology Telecom, Media & Entertainment Telecom Equipment Sales

Core Network Equipment

Complex platform, content, and network decisions where revenue, rights, and customer experience intersect.

Cisco Ericsson Nokia Juniper
Inside this journey
  1. Pre-Discovery

    Align the room on outcomes, decision process, and constraints before deeper discovery.

    1. Stakeholder Alignment

      Confirm decision roles, timeline constraints, and what success looks like for each operational and executive stakeholder.

      Alignment Questions

      Quick introductions — who’s on this journey with us?

      • Who are the people (name, role, and primary responsibility) we should know from your team for decisions, technical validation, and operations?
      • Which of the following groups will need formal sign-off for vendor selection and multi-year procurement? Options: VP/Director of Network Architecture, CIO/CTO, Procurement/Finance, Network Operations (NOC), Security/Compliance, Site/Regional Engineering
      • Which single person on your side do we route urgent commercial questions and executive escalations to?
      • Who will own pilot approval and who will be the operational owner if we move to production? Options: Same person for pilot and production, Different people — list both

      Who really calls the shots (and why that matters)

      • If you had to pick one person who ultimately decides the vendor — who is that, and what outcomes move them to ‘yes’?
      • When vendors present comparable technical results, what non-technical factors most influence the final decision? Options: Total cost of ownership, Vendor roadmap and longevity, Existing relationships, Integration with current automation, Support SLAs and field engineering, Other
      • How frequently do you see decisions stall because of organizational politics or competing priorities? Can you share an example? Options: Rarely, Occasionally, Often, Almost always
      • What would make the decision-maker feel we’d be a lower-risk, higher-value choice than the incumbent?

      Calendar pressure — is time working for you or against you?

      • We often find timeline optimism is the root cause of late projects — where is your target deployment window and how fixed is it? Options: Fixed (cannot move), Firm (may shift slightly), Flexible (within quarters), Undecided
      • What external deadlines or events (e.g., peering contracts, capacity exhaustion, regulatory milestones) are driving that timeline?
      • If a critical lab or interoperability test slips by more than two weeks, what happens to the overall timeline or budget? Options: Timeline shifts, Budget increases, Escalation to execs, Project reprioritized, Unsure
      • How long do stakeholders typically tolerate a pilot before requiring a go/no-go decision? Options: 2–4 weeks, 1–3 months, 3–6 months, 6+ months, Varies by pilot scope

      What would make your executives sleep well at night?

      • If your VP of Network Architecture had one slide to justify this project to the board, what three metrics must look great?
      • Which of the following executive-focused outcomes matter most for this program? Options: Capacity headroom (Gbps/Tbps), Predictable OPEX over term, Faster time-to-service, Vendor lock-in risk reduction, Regulatory/compliance alignment
      • How would you quantify acceptable risk for execs around convergence and service disruption (e.g., MTTR targets, allowable dropped sessions)?
      • How important is executive visibility during pilot and migration (regular dashboards, topline health checks, crisis calls)? Options: High — want weekly exec updates, Medium — monthly summaries, Low — only if issues arise, Unsure

      What success actually looks like for the people who run the network

      • For the NOC and field engineering teams, what operational outcomes would make this migration worth the effort? Options: Faster troubleshooting, More stable convergence, Improved telemetry/visibility, Easier automated provisioning, Reduced power/space
      • Tell us about a recent incident where your current routing platform caused real pain — what happened, who scrambled, and what was the aftermath?
      • What level of change to existing runbooks and automation are you willing to accept during a phased migration? Options: Minimal (keep existing workflows), Moderate (some retraining), High (retool automation), Undecided
      • Which operational metrics do you monitor continually and would want preserved or improved post-migration? Options: Interface utilization, BGP convergence time, Packet loss, Telemetry sampling fidelity, CPU/memory headroom, Other

      Where the hidden constraints live — dependencies you might not be naming

      • What non-technical constraints (budget cycles, vendor exclusivity, internal policy, legacy contracts) could quietly block progress?
      • Do you have contractual obligations to an incumbent (support, maintenance, exclusivity) that create migration windows or penalties? Options: Yes — with penalties, Yes — with notice periods, No formal obligations, Unsure — need to check
      • Are there regulatory, data sovereignty, or security approvals that typically add lead time to deployments in your environment? Options: Yes — significant, Some — minor checks, No
      • Which internal teams (security, compliance, finance, facilities) must be looped in before you can run lab tests or pilots? Options: Security, Compliance, Finance/Procurement, Facilities/Data Center Ops, Legal

      How confident are you — and what would move that confidence needle?

      • On a scale from 1–10, how confident are you that a new vendor can meet your forwarding, convergence, and programmability needs? Options: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
      • What specific lab or pilot results would raise that confidence by at least 3 points? Be granular (e.g., line-rate for X flows, BGP reconvergence < Y ms).
      • What would be a deal-breaker result during lab or limited production that would end further evaluation?
      • If a pilot exposes intermittent software instability, how would you prefer we handle communication and remediation with your team? Options: Immediate pause & fix, Continue with mitigations, Escalate to engineering & execs, Other

      Escalation pathways — when to ring the alarm bell

      • Who on your side must be notified immediately for a pilot-affecting failure, and what are their preferred contact methods?
      • Which types of incidents automatically trigger executive-level involvement for you? Options: Major customer impact, Sustained packet loss, Security breach, Failed compliance tests, Significant SLA breaches
      • How quickly do you expect vendor field engineering to be onsite or available for critical issues? Options: Within 4 hours, Same day, 48 hours, Depends on severity
      • Would you prefer a single point of contact for escalations or a role-based escalation matrix? Options: Single POC, Role-based matrix, Hybrid

      What success looks like in the first 90 days (and who champions it)

      • If we complete a pilot and hand over to operations, what are the top three outcomes you’d want validated within 90 days?
      • Who will be the internal champion tracking those 90-day outcomes and ensuring acceptance criteria are met?
      • What acceptance criteria (quantitative and qualitative) must be satisfied for you to proceed from pilot to phased migration?
      • Would you want contractual gates tied to lab/pilot results before committing to multi-year orders? Options: Yes — required, Maybe — open to discussion, No — prefer commercial flexibility

      Closing the loop — aligning on next steps and ownership

      • Based on this conversation, what are the top three actions you expect from us in the next two weeks?
      • What do you commit to doing on your side to keep momentum (e.g., provide inventory, approve lab access, name pilot owner)?
      • How would you like progress updates delivered (cadence and format)? Options: Weekly written updates, Weekly live sync, Bi-weekly exec summary + weekly tech sync, Ad-hoc as needed
      • Is there anything we haven’t asked that would make a big difference in aligning expectations and avoiding surprises?
    2. Network Current State Mapping

      Document topology, router inventory, utilization thresholds, failure modes, and migration constraints.

      Current State

      A Quick Map of Where You Sit

      • In one short sentence, what is the single operational priority driving this evaluation right now?
      • How would you describe your backbone topology today? Options: Full mesh of PoPs, Regional hubs with leaf-spine aggregation, Ring/linear DCI-focused, Hybrid (mix of above), Other
      • Roughly how many core/edge routers are in scope for this initiative (best estimate)? Options: <25, 25–100, 101–300, 301–1,000, >1,000
      • Which vendors and network OSes are currently running in your core and edge (pick all that apply)? Options: Cisco IOS-XR, Cisco IOS-XE/ASR, Juniper Junos, Nokia SR OS, Arista EOS, Whitebox + NOS, Proprietary/Other
      • How do you currently track router inventory and topology changes? Options: CMDB (single source), Point tools + spreadsheets, Netflow/telemetry discovery, Vendor portal, Ad-hoc/manual, Other
      • When was the last full inventory/topology audit completed and what gaps remain?

      Are You Quietly Perched on a Bottleneck?

      • If traffic rose 20% tomorrow, which single link, PoP, or device would you expect to experience service impact first?
      • What percentage of your critical backbone links are routinely above your operational threshold? Options: <10%, 10–25%, 26–50%, 51–75%, >75%
      • Which symptoms tell you you're capacity-constrained (select all that match)? Options: Sustained high interface drops, Queueing and increased latency, Microbursts causing packet loss, BGP session flaps under load, Customer complaints on specific services, Other
      • Where do you feel your capacity planning process is weakest—forecasting, procurement lead time, testing, or something else? Options: Forecasting, Procurement lead time, Lab validation, Automation for scale, Executive prioritization, Other
      • How often do capacity alarms produce false positives or noise your team ignores? Options: Almost never, Occasionally, Regularly, Most alerts are noise
      • Tell us about a recent moment when capacity limits impacted a customer or service—what happened and how did it feel to your team?

      When The Backbone Stutters — What Breaks First?

      • Which failure mode keeps you up at night because it can cascade into a multi-hour outage?
      • Which of these failure types have you experienced in the last 24 months (select all that apply)? Options: Control-plane CPU exhaustion, FIB/TCAM capacity exhaustion, ASIC/linecard hardware fault, Software crash/kernel panic, Power or cooling failure, Optical/link flaps, Misconfiguration causing wide impact, BGP route churn/oscillation
      • On average, how long does it take you to detect a significant backbone failure, and how long to restore service (separate numbers)?
      • What automated or manual mitigations do you rely on today to contain these failures? Options: Active-active redundancy, Fast reroute/MPLS-FRR, Manual traffic engineering, Automated telemetry alarms/playbooks, Out-of-band control-plane redundancy, Other
      • How confident are you in your current runbooks for the top two failure modes (and why)? Options: Very confident, Somewhat confident, Not confident
      • Share a brief example of a past incident where the root cause was surprising—what did you learn?

      The Hidden Costs of Keeping Two Worlds Running

      • How much extra operational effort (headcount or percentage of time) does supporting a non-standard or secondary routing platform add? Options: <5%, 5–15%, 15–30%, 30–50%, >50%
      • Which tasks effectively double because you support multiple vendors or OS versions (select all that apply)? Options: Monitoring/alarms tuning, Automation/playbook maintenance, Onboarding/new config templates, Troubleshooting and escalations, Interoperability testing, Training/documentation
      • Where does interoperability cause the most friction—control-plane, data-plane, telemetry, or human processes? Options: Control-plane (BGP/IGP), Data-plane (FIB/ASIC), Telemetry/telemetry models, Operational procedures/training, Other
      • How mature is your automation stack for device lifecycle (provisioning, configuration drift, telemetry ingestion)? Options: Fully automated, Mostly automated with manual steps, Frameworks exist but manual work remains, Manual for most tasks
      • How long does it typically take to onboard a new device type into production automation and monitoring? Options: <1 week, 1–4 weeks, 1–3 months, >3 months
      • What emotional cost does this dual-operation model have on your team (burnout, loss of domain expertise, recruitment pain)?

      What Would Make This Migration Obviously Worth It?

      • Looking ahead 12 months after a successful migration, what single measurable outcome would make you say we made the right decision?
      • Which outcome signals are non-negotiable for you (pick up to three)? Options: Sustained line-rate forwarding at scale, Deterministic convergence times, Full parity with current routing table scale, Rich model-driven telemetry/APIs, Power and space efficiency gains, Lower total cost of ownership
      • What target numbers matter most—target line-rate throughput per slot, routing table entries, or convergence SLAs? Please state targets.
      • How much packet loss or latency increase during a failure window would be considered unacceptable? Options: Zero tolerance, <0.1%, 0.1–1%, 1–5%, >5%
      • How important is having exactly the same CLI/operational model versus modern APIs and intent-driven tooling? Options: CLI parity critical, Prefer CLI but APIs acceptable, APIs are primary requirement, Neutral
      • Who in your organization will publicly own the statement 'migration met success criteria'?

      Constraints You Can't Ignore (and Which Ones You Can)

      • What is the single immovable constraint—technical, contractual, or business—that would kill this project if not addressed?
      • Which of these constraints apply to your program (select all that are relevant)? Options: Rack space / chassis slot limits, Power / PDUs, Optical transceiver compatibility, Regulatory/compliance requirements, Vendor contract/exit clauses, Change window availability
      • Are there procurement or budget-cycle dates we must hit for this initiative to proceed this fiscal year? Options: Yes — specific date, Yes — within quarter, No fixed date, Unsure
      • Which migration constraints are negotiable versus fixed (describe what you can flex and what you cannot)?
      • Do you require specific certifications, interoperability reports, or third-party lab validation before pilot approval? Options: Vendor lab testing, Third-party independent lab, Interop checklist with incumbents, Regulatory compliance evidence, None required
      • Which PoPs or segments are off-limits for initial pilots due to risk, regulation, or customer commitments?

      From Lab to Live — How Risky Does It Feel?

      • Which single lab test failure would cause you to stop progression to a limited production pilot?
      • Which of these lab acceptance criteria do you require for a vendor to pass (select all that apply)? Options: Sustained forwarding at advertised line rate, Routing table scale with expected prefixes, Convergence under planned failure scenarios, Interoperability with incumbent control-plane, Telemetry fidelity and sampling, API-driven config parity
      • How long do you typically run lab validation before allowing a limited production pilot? Options: <2 weeks, 2–4 weeks, 1–3 months, 3+ months
      • Who must sign off to greenlight a pilot and what are their top concerns?
      • Describe how you prefer to validate telemetry and programmability during lab tests (push telemetry, gNMI, streaming, custom scripts, other). Options: gNMI/gns3, gRPC/RESTCONF, Streaming telemetry, SNMP/traditional, Custom tooling/scripts
      • On a scale from 1–10, how ready does your ops team feel to operate a new routing OS in production after a successful pilot (and why)? Options: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10

      Deciding Today: What's the Easiest First Step?

      • What is the smallest, least disruptive action we could take next week that would change your perspective on this project?
      • Which of these next steps would you be most comfortable with right away? Options: Equipment loan for lab, Architecture and routing design review, Short interoperability test with existing vendor, Proof-of-concept telemetry integration, Commercial non-binding pricing estimate
      • Who needs to be in the room (roles, not names) to approve that next step? Options: VP/Director of IP/Network Architecture, Network Operations Lead, Systems/Automation Engineer, Procurement/Finance, Security/Compliance, Site Reliability/Service Owner
      • What deliverables or evidence would make an immediate 'yes' more likely (lab report, whitepaper, pilot plan, TCO model)? Options: Lab performance report, Interop checklist with incumbent, Pilot runbook and rollback plan, Multi-year TCO and pricing, Reference customer case study
      • How quickly can key decision-makers convene for a short technical review (calendar options)? Options: Within 48 hours, Within 1 week, Within 2–4 weeks, Longer / scheduling difficulty
      • Any final concerns or red lines we should know about before proposing a concrete pilot plan?
  2. Outcome Discovery

    Define measurable success signals for capacity, convergence, programmability, and migration risk tolerance.

    Discovery Questions

    Start: Where This Matters Most

    • What event or KPI first made you decide to explore a core routing change now? Options: Sustained link utilization >80%, Routing OS end-of-life, New DCI/peering buildout, 5G/transport demand, Vendor performance concerns, Other
    • Which services or customer segments would feel the impact first if capacity or convergence degraded? Options: Wholesale transit, Peering/IX, Enterprise VPNs, Cloud interconnects, Mobile backhaul, Other
    • Who are the executive and operational decision owners we need to satisfy to make a migration a go/no‑go decision?
    • What is your ideal timeline from pilot approval to first production migration (months)? Options: <3 months, 3–6 months, 6–12 months, >12 months, Undetermined
    • How would you describe success for this initiative in one sentence?

    What Happens If We Do Nothing?

    • If no vendor change happens in the next 12 months, what measurable pain or cost will increase? Options: Higher packet loss, Missed peering opportunities, Increased OPEX, Capacity upgrades with same vendor, Regulatory/contractual risk, Other
    • How close are you to SLA breaches today during peak windows (e.g., percent of time or number of incidents in last 90 days)? Options: None, Occasional but not severe, Several incidents, Regular breaches
    • When a high-utilization or convergence incident occurred recently, can you describe what failed and how long recovery took?
    • What financial or reputational impact do you assign to a sustained outage or major convergence event (range or example)?
    • How do your customers/operators talk about current risk — is it 'manageable', 'worrying', or 'urgent'? Options: Manageable, Worrying, Urgent, Unsure

    Do Your Monitoring Tools Actually Tell the Truth?

    • What telemetry and monitoring stacks are you using today to validate capacity and convergence (select all that apply)? Options: SNMP, NetFlow/IPFIX, sFlow, Streaming Telemetry (gNMI/GRPC), Syslog/ELK, Proprietary vendor tools, Other
    • Where are the blind spots in your current instrumentation—what do you wish you could measure but can't?
    • How granular is your performance data (e.g., 1s, 30s, 5m intervals) and how long is it retained? Options: 1s–10s, 30s, 1m–5m, Aggregated hourly, Retention <30 days, Retention >90 days, Variable
    • Which KPIs do you treat as non-negotiable for this project (pick top three)? Options: Line-rate forwarding, Convergence time, Routing table capacity, Control-plane CPU under load, Power/space efficiency, API/telemetry availability, Other
    • How confident are you in the accuracy and end-to-end correlation of those KPIs across lab and production environments? Options: Very confident, Somewhat confident, Low confidence, Not confident

    How Fast Is Fast Enough?

    • If a core link or node fails, what is the maximum convergence window you can tolerate before services are materially impacted? Options: <100 ms, 100–500 ms, 500 ms–2 s, 2–10 s, >10 s
    • For BGP failover scenarios, what percentage of prefixes must re-establish without manual intervention to consider it a success? Options: >99.9%, 99–99.9%, 95–99%, <95%
    • Do you differentiate convergence expectations by service class (e.g., transit vs management vs peering)? If so, how?
    • How many routes and adjacencies must the platform handle without performance degradation (provide current and projected numbers)?
    • What failure scenarios do you consider critical to test in lab (select all that apply)? Options: Link flaps, Mass route churn, Control-plane CPU spike, Fabric partition, Power loss, Software upgrade rollback

    Can Programmability Replace Pain Points—or Just Add Complexity?

    • If automation could remove one manual, error-prone task today, what would it be and why?
    • Which northbound interfaces and tooling must we demonstrate in lab for you to accept the platform (select all that apply)? Options: gNMI, NETCONF/YANG, RESTCONF/REST API, gRPC, Streaming Telemetry (gNMI/GRPC), CLI/SSH compatibility, Other
    • How do you measure automation success—time-to-deploy, change failure rate, mean-time-to-restore, or something else? Options: Time-to-deploy, Change failure rate, MTTR, Config drift %, Operator time saved, Other
    • What integrations must be proven (NMS, OSS/BSS, CMDB, orchestration) and what APIs or data models are required?
    • How much operator retraining and runbook rework are you willing to accept during pilot without it being considered a failure? Options: Minimal (<1 week per team), Moderate (1–4 weeks), Substantial (>4 weeks), Unsure

    What Would a Lab Win Actually Prove?

    • Which specific lab tests are non-negotiable for you to progress to limited production (choose up to four)? Options: Line-rate forwarding with realistic traffic mix, Full-scale routing table capacity, Convergence under controlled failures, Interoperability with incumbent vendors, API/telemetry throughput and stability, Upgrade/rollback validation
    • For throughput validation, what pass criteria do you expect (e.g., percent of line-rate per interface under X packet sizes)? Options: 100% line-rate, 95–99% line-rate, 75–95% line-rate, Other
    • How long should long-running stability tests run to give you confidence (hours/days)? Options: 8–24 hours, 48–72 hours, 1 week, >1 week, Depends on test
    • What documentation and artifacts do you require from lab runs (raw telemetry, test scripts, reproducible steps, metrics dashboards)? Options: Raw telemetry, Test scripts, Step-by-step lab playbook, Dashboards and KPIs, Signed lab report
    • Who on your team needs hands-on lab access versus read-only reporting to sign off on results?

    How Much Migration Risk Can You Live With?

    • What level of service impact during pilot would you accept before pausing the migration (e.g., number of minutes, affected flows, or percentage of customers)? Options: Zero impact tolerated, Very minor (seconds/minor flows), Minor (minutes/small customer set), Moderate (tolerable for non-critical segments)
    • Do you require contractual penalties or service credits tied to pilot/acceptance metrics? Options: Yes, mandatory, Preferred but negotiable, No, not required, Undecided
    • What rollback conditions must be automated and how quickly must you be able to revert to the incumbent platform?
    • How long can your operations support a dual‑vendor environment before the complexity becomes unsustainable? Options: <3 months, 3–6 months, 6–12 months, >12 months, Variable by region
    • What is the maximum acceptable number of incidents or SEV-level events during pilot before a review is triggered? Options: 0, 1–2, 3–5, >5, Depends on severity

    Who’s Responsible When Things Get Messy?

    • Which teams will own specific success signals (capacity, convergence, programmability, pilot ops)—list role and owner where possible?
    • Which executive will sign off on pilot completion and commit to commercial expansion if success signals are met?
    • What escalation path and SLA do you expect from a vendor if a pilot-related incident affects customer-facing services? Options: 24/7 vendor NOC, Named escalation engineers, Onsite support within SLA, Regular status cadence
    • Who must be included in daily/weekly pilot syncs, and which stakeholders only need milestone summaries? Options: NOC/ops, Network architecture, Platform engineering, Security, Executive sponsor, Commercial/Procurement
    • How will success be documented and archived for future migration phases (reports, runbooks, training materials)? Options: Formal acceptance report, Runbooks and SOPs, Recorded lab sessions, Training playbooks, All of the above

    What Does Go/No‑Go Actually Look Like?

    • Which measurable gates must be met before you allow a limited-production pilot to proceed (choose all that apply)? Options: Throughput >= threshold, Convergence <= threshold, Interoperability checks pass, Automation/API tests pass, Security/compliance checks pass
    • For each gate you select, what are the numeric thresholds and the acceptable margin of error?
    • How long after a failed gate should the vendor have to remediate before the project is paused or re-evaluated? Options: 48 hours, 1 week, 2 weeks, Depends on issue severity
    • Do you require independent validation or third-party testing to accept gate results? Options: Yes, independent lab/testers, Vendor-provided but audited, No, internal validation only, Undecided
    • Who signs the final go/no‑go and what specific artifacts do they require to sign?

    If We Partnered, What’s the Easiest Next Step?

    • What information or access would you be willing to provide first to enable a focused lab proof-of-concept (e.g., topology diagrams, traffic profiles, telemetry feeds)? Options: Topology diagrams, Traffic matrices, Telemetry access, Sample configs, None until NDA
    • What budget or commercial constraints should we be aware of when proposing a pilot and lab plan? Options: Dedicated pilot budget, Capex cycle constraints, OPEX limited, Can reallocate existing budget, Undisclosed
    • How would you prefer us to demonstrate progress—weekly KPI dashboards, hands-on lab sessions, or milestone reports? Options: Weekly dashboards, Hands-on lab sessions, Milestone reports, Ad-hoc deep dives
    • What would make you feel confident enough to commit to a pilot in the next 30–90 days?
    • Is there anything we haven't asked that would change how you define success for capacity, convergence, programmability, or migration risk?
  3. Solution Experience

    Confirm how the routers and OS will meet lab and limited-production acceptance criteria using the customer’s scenarios.

    Experience Meetings

    • Solution Experience Alignment Workshop
    • Lab Test Plan & Scenario Mapping
    • Witness Lab Validation — Live Test Run
    • Limited-Production Pilot Planning & Acceptance Gates
    • Final Validation & Acceptance Pre-Check (Lab + Pilot)
    • Establish rollback procedures, automation, and monitoring to ensure pilot safety.
    • Produce objective, timestamped KPIs for each acceptance signal and archive raw logs.
    • Validate or invalidate the future-state hypothesis with real measured data tied to the customer's problem.
    • Identify and prioritize any residual issues requiring RCA or configuration changes before pilot.
    • Obtain customer witness confirmation on whether the observed results meet expectations or require escalation.
    • Seller: Deliver a Test Results Package (raw data, KPI plots, annotated logs, and short executive summary) within 48 hours.
    • Customer: Provide a validation statement indicating which acceptance signals passed/failed and any operational concerns.
    • Seller: For failed items, provide an RCA plan and timeline for remediation and retest.
    • Seller & Customer: Agree on which lab results are sufficient to progress to limited-production pilot and which require further lab iteration.
    • Pilot Scope & Traffic Selection
    • Agree a narrow, measurable pilot scope that exercises the lab-proven capabilities in production-like conditions.
    • Define explicit pilot acceptance gates and the exact metrics/observation windows tied to lab results.
    • Introductions & Objectives
    • Assign owners, escalation contacts, and schedule the pilot run windows.
    • Seller: Produce the Pilot Runbook including step-by-step cutover, watchlist KPIs, rollback scripts, and test checklists.
    • Customer: Provision access, reserve maintenance windows, and assign on-call owners for pilot execution.
    • Seller: Deploy monitoring dashboards and pre-configure alerts for the acceptance signals.
    • Seller & Customer: Schedule the pilot start and the post-pilot acceptance review meeting.
    • Executive Summary of Evidence
    • Customer issues a clear technical acceptance decision tied to the previously defined acceptance signals.
    • Document any remediation items with owner and timeline if full acceptance is not granted.
    • Agree the artifacts required for the Mutual Commit meeting (validated test evidence, pilot report, risk register).
    • Ensure both parties have aligned expectations on the path to commercial finalization and migration planning.
    • Seller: Deliver the Final Validation Report consolidating lab and pilot evidence, annotated KPIs, and the risk register.
    • Customer: Provide formal written technical acceptance (pass / conditional pass / fail) tied to the acceptance spreadsheet.
    • Seller & Customer: If conditional pass, agree remediation milestones and schedule a follow-up verification run.
    • Seller: Package all runbooks, automation scripts, and telemetry dashboards for handover to deployment teams.
    • Have a single agreed one-sentence current-state that drives the experience.
    • Quantify the consequence to operations and business if the problem persists.
    • Agree one-sentence future state in operational terms (not features).
    • Define explicit, measurable acceptance signals and thresholds for lab and pilot.
    • Assign owners and data deliverables to prepare the lab tests.
    • Customer: Deliver current topology (router models, interface speeds), utilization reports, inventory, and the canonical list of failure scenarios.
    • Customer: Provide traffic profiles (5-tuple distributions), routing table sizes, and any synthetic trace files for traffic generators.
    • Seller: Draft a one-page Acceptance Signal Spreadsheet mapping metrics to measurement methods and units.
    • Seller: Confirm lab resources, test equipment, and preliminary schedule windows.
    • Recap Agreed Acceptance Signals
    • Have a complete, prioritized lab test plan that maps every customer scenario to a test case with measurement method.
    • Agree on test harness, tooling, and who supplies/owns each component.
    • Define the explicit pass/fail rule for each test and the test execution order.
    • Establish the pre-work deliverables and timelines required to start tests.
    • Seller: Publish the detailed Lab Test Runbook with step-by-step test procedures, traffic generator scripts, and measurement dashboards.
    • Customer: Provide sample BGP/route table exports and finalized traffic profiles for deterministic load generation.
    • Seller: Provision testbed racks, reserve ports, and load the initial configs for the first witness session.
    • Customer: Identify the technical owners who will witness tests and have authority to validate acceptance signals.
    • Setup & Test Readiness Check
    • Acceptance Gates Linked to Lab Results
    • Scenario-to-Test Mapping
    • Deep-dive on Any Failed or Marginal Items
    • Test 1 — Line-rate Forwarding & Resource Utilization
    • Current State Statement (Customer-led)
    • Residual Risk Register & Mitigations
    • Test 2 — Routing Table Scale & Convergence under Failure
    • Test Harness & Tooling
    • Consequence Quantification
    • Rollback & Safety Controls
    • Runbooks, Automation & Monitoring
    • Future State Definition
    • Test 3 — Programmability & Telemetry Validation
    • Acceptance Decision & Next Steps
  4. Solution Scope

    Define hardware models, software modules, lab test plan, interoperability checklists, pilot scope, and acceptance criteria.

    Scope Configuration

    • Ship and install chassis, line cards, and power supplies
    • Rack, stack, and cable routers at customer sites
    • Load and activate NOS image and feature licenses
    • Configure core routing: BGP, IS-IS, and OSPF
    • Implement segment routing and MPLS traffic engineering
    • Provision QoS, buffer, and queuing profiles
    • Apply hardware forwarding optimizations and ASIC tuning
    • Deploy streaming telemetry pipelines to collectors
    • Integrate gNMI/NETCONF/RESTCONF APIs with OSS/NMS
    • Migrate BGP adjacencies via phased cutover execution
    • Execute limited-production traffic cutover on backbone links
    • Provide 24/7 NOC escalation and vendor software support
    • Supply and manage on-site spare parts inventory
    • Deliver operator training on NOS APIs and automation

    Scope Questions

    Ship and install chassis, line cards, and power supplies

    • Do you require vendor-managed shipment and on-site installation of chassis, line cards, and power supplies? Options: Yes, No
    • How many chassis and line-card populations are required per site? Please list by site.
    • What is your delivery and installation target window? Options: ASAP (0-4 weeks), 4-8 weeks, 8-12 weeks, Custom timeline
    • Do any sites have special access, customs, or security constraints that impact delivery or installation? Options: Yes, No
    • Who will own site power and grounding validation—vendor or customer? Options: Vendor, Customer, Shared/Other
    • Are there weight, seismic, or environmental restrictions in any racks/rooms that we must validate before shipment? Options: Yes, No

    Rack, stack, and cable routers at customer sites

    • Will vendor perform rack-and-stack and cabling, or will your team handle physically racking with vendor oversight? Options: Vendor performs full rack/stack/cable, Customer performs with vendor supervision, Customer performs independently
    • How many rack units (U) per chassis and how many chassis per rack at each site?
    • What port types and cable types are required (e.g., single-mode fiber, multi-mode, DAC, QSFP-DD) and do you have fiber-distance constraints?
    • Do you require structured cabling, patch panels, and labeling to vendor standard on delivery? Options: Yes, No
    • Is there an existing cable-management policy or rack elevation diagram we must follow? Options: Yes, No
    • Do we need to coordinate on-site access windows, maintenance windows, or change controls with your facilities/operations teams? Options: Yes, No

    Load and activate NOS image and feature licenses

    • Which NOS version and image (SKU) do you plan to validate and activate?
    • Do you require vendor to stage and load NOS images in lab prior to site activation? Options: Yes, No
    • What licensing model will you use (e.g., perpetual, subscription, feature-based), and do you need license key provisioning support? Options: Perpetual, Subscription, Feature-based, Unsure/Discuss
    • Do you require license entitlement validation and license server integration during activation? Options: Yes, No
    • Do you need image signing, integrity checks, and rollback images staged as part of the activation plan? Options: Yes, No
    • Are there acceptance tests (e.g., boot time, feature verification) you want executed immediately after NOS activation? If so, list them.

    Configure core routing: BGP, IS-IS, and OSPF

    • Which routing protocols are required on each device/site (select all that apply and specify where)? Options: BGP, IS-IS, OSPF
    • What is the expected routing scale for each protocol (number of prefixes, routes, adjuncts) per device? Options: <100k prefixes, 100k-500k, 500k-1M, 1M+
    • Do you require route-policy conversion or validation against existing policies (export/import filters, communities, route maps)? Options: Yes, No
    • Are there authentication or route-validation requirements (e.g., MD5/TCP-AO, BGP TTL security, RPKI) to configure? Options: Yes, No
    • What convergence targets (e.g., sub-second, 1-5s, 5-30s) do you expect under link or node failures? Options: Sub-second, 1-5s, 5-30s, No strict target
    • Do you require configuration of route reflectors, confederations, or segmented routing domains as part of the core routing config? Options: Yes, No

    Implement segment routing and MPLS traffic engineering

    • Is Segment Routing (SR-MPLS or SRv6) required for the pilot or final deployment? Options: SR-MPLS, SRv6, Not required, Unsure/Discuss
    • Do you have existing MPLS/TE infrastructure that must interoperate with SR policies? Options: Yes, No
    • What TE objectives are required (e.g., bandwidth reservations, latency optimization, least-cost paths)?
    • Will a centralized controller/path-computation element (PCE) be used for TE policy calculation? Options: Yes, No, Planning to evaluate
    • Do you require end-to-end SR policy testing in lab with synthetic traffic before pilot cutover? Options: Yes, No
    • Are there interop checklists or neighbor-vendor capabilities we must validate for MPLS/SR? Options: Yes, No

    Provision QoS, buffer, and queuing profiles

    • Do you have defined traffic classes and SLAs (e.g., voice, video, bulk) that must be mapped to QoS profiles? Options: Yes, No
    • What shaping, policing, and queuing behaviors are required per class (e.g., strict-priority, WFQ, CBWFQ)?
    • Are there per-interface or per-tenant buffer/queue tuning requirements due to latency-sensitive services? Options: Yes, No
    • Do you need QoS verification tests (e.g., microburst tests, latency/jitter measurements) in lab and pilot? Options: Yes, No
    • Should legacy QoS policies from incumbent hardware be translated automatically, or do you prefer manual redefinition? Options: Automated translation, Manual redefinition, Hybrid
    • Do you require monitoring and telemetry for QoS and buffer occupancy integrated into collectors/dashboards? Options: Yes, No

    Apply hardware forwarding optimizations and ASIC tuning

    • Are there specific hardware forwarding features you require (e.g., TCAM partitioning, exact-match acceleration, L2/L3 offloads)?
    • What forwarding performance targets must be achieved (e.g., line-rate per port type, per-flow throughput)?
    • Do you want vendor-provided ASIC tuning profiles applied by default or tested/tuned per your traffic profile in lab? Options: Apply default vendor profiles, Test and tune per traffic profile, Undecided
    • Are there expected maximum route or adjacency counts that require TCAM or hardware resource adjustments? Options: Yes, No
    • Do you accept short maintenance windows for in-field microcode or forwarding profile updates during pilot? Options: Yes, No
    • Please describe any fail-open/fail-safe forwarding behaviors required during code/ASIC updates.

    Deploy streaming telemetry pipelines to collectors

    • Which telemetry formats and protocols should be enabled (e.g., gNMI, GPB/gRPC, NETCONF, SNMPStreams)? Options: gNMI, gRPC/GPB, NETCONF, SNMP/SNMP-Trap/Inform, Other
    • What collectors and analytics platforms will ingest streaming telemetry (vendor collector, Prometheus, Influx, Splunk, custom)?
    • What sampling rates, frequency, and retention policies are required for interface counters, jitter/latency metrics, and forwarding telemetry?
    • Are secure transport and authentication (TLS, client certs) mandatory for telemetry streams? Options: Yes, No
    • Do you require telemetry schema/model mapping (e.g., OpenConfig vs. vendor models) and transformation in the pipeline? Options: Yes, No
    • Should we validate telemetry completeness and alerting during lab and pilot before production roll-out? Options: Yes, No

    Integrate gNMI/NETCONF/RESTCONF APIs with OSS/NMS

    • Which OSS/NMS systems must be integrated (list vendors and versions)?
    • Which southbound API protocols do you require for integration (gNMI, NETCONF, RESTCONF, SNMP)? Options: gNMI, NETCONF, RESTCONF, SNMP
    • What authentication and authorization schemes are required (e.g., OAuth2, client certs, username/password, TACACS+/RADIUS)?
    • Do you need YANG/model translation, mapping, or custom telemetry-to-OSS adapters developed? Options: Yes, No
    • Will integration be validated in a test/lab environment prior to pilot, and who are the owners for validation? Options: Yes, No
    • What automation use-cases do you want via these APIs (e.g., config push, compliance checks, telemetry-driven remediation)?

    Migrate BGP adjacencies via phased cutover execution

    • How many BGP adjacencies (peers) are in-scope for the migration and what types (iBGP/eBGP/L2/L3)?
    • Do you require an automated phased cutover runbook with rollback steps for each adjacency group? Options: Yes, No
    • What migration window constraints exist (maintenance windows, blackout periods, geo/timezone limits)?
    • Will you use traffic-splitting/traffic-mirroring or deterministic cutover (flap peers) for validation during phased migration? Options: Traffic-splitting/mirroring, Deterministic cutover, Hybrid, Unsure
    • Do you require pre- and post-cutover routing validation tests (e.g., route-ping, path-trace, convergence timing measurements)? Options: Yes, No
    • Who are the owners and escalation points on both sides (customer/vendor) for adjacency migration activities?
  5. Mutual Commit

    Finalize commercial terms, pilot Ordering, multi-year pricing, and contractual acceptance gates tied to lab and pilot results.

    Agreement Modules

    • Commercial Term Sheet
    • Master Services Agreement (MSA)
    • Statement of Work (SOW)
    • Pilot Order Form
    • Purchase Order / Procurement Submission
    • Volume & Multi-Year Pricing Schedule
    • Acceptance Gates & Lab-to-Pilot Criteria
    • Service Level Agreement (SLA) & Support Matrix
    • Software Licensing & Maintenance Agreement
    • Change Order & Scope Management
    • Payment Schedule & Invoicing Terms
    • Termination, Exit & Migration Plan
    • Regulatory, Export & Compliance Certifications
    • Contract Redlines Log & Approval Tracker
    • Financing & Credit Application
  6. Deployment

    Operationalize rollout with readiness checks, enablement, and outcome validation.

    1. Pre-Deployment Readiness

      Confirm lab results, access, rollback plans, automation scripts, and owners required for a safe pilot and migration.

      Readiness Questions

      Getting Comfortable — Where We Start Together

      • Who will be our primary technical contact for the pilot (name and role)? Options: VP/Director of Network Architecture, Director of IP Engineering, Network Operations Manager, Site Reliability/Transport Lead, Project Manager, Other — specify below
      • What is the single primary objective you want this pilot to prove (e.g., line-rate forwarding, convergence SLAs, telemetry fidelity, vendor interoperability)? Options: Forwarding throughput and line-rate performance, Convergence under failure scenarios, Streaming telemetry & API validation, Interoperability with incumbent equipment, Power/space/power efficiency validation, Other — describe below
      • What is your target window to start the pilot (earliest date) and your target completion date? Options: Within 2 weeks, 2–6 weeks, 6–12 weeks, 3+ months, No firm date yet — planning stage
      • Are there blackout dates or maintenance windows we must avoid? If so, list them (timezones and specifics).
      • How do you currently expect the pilot to coexist with your production network (dual-homing, out-of-path test links, isolated lab to limited-production segment)? Options: Fully isolated lab testing, Limited-production non-critical segment, Dual-vendor coexistence on production links, Traffic-sampled testing only, Undecided — want guidance

      If This Goes Sideways, Who Feels It Most?

      • What would the customer- or revenue-impact look like if the pilot caused a service disruption for 30 minutes? Options: Minor packet loss, no SLA breach, Localized SLA impact to non-critical customers, Major SLA breach, high-revenue impact, Regulatory/peering penalties possible, Unknown — we need to quantify
      • Which services or prefixes are non-negotiable to keep stable during the pilot (voice, transit, CDN peering, enterprise customers, etc.)? Please list specifics.
      • How fast must we restore normal service to avoid escalations or penalties (target MTTR/RTO)? Options: <15 minutes, <1 hour, <4 hours, <24 hours, Depends on service — specify below
      • Have prior migrations or pilots exposed failure modes we should explicitly plan to avoid (e.g., control-plane storms, forwarding blackholes, TTL issues)? Describe briefly.
      • How does your executive and customer-communications process work when incidents occur (who speaks, what channels, notification cadence)? Options: Email updates, War room + phone tree, Slack/Teams + on-call rotations, PagerDuty/incident management platform, Combination — describe below

      Who Holds the Keys — Access, Permissions, and Approvals

      • Do we currently have the necessary account access, privilege levels, and on-call approvals to make and validate changes during pilot windows? Options: Yes — full access available, Partial — some accounts require approvals, No — access needs provisioning, Unsure — need to audit
      • List the systems and networks we must access for the pilot (NMS, OSS/BSS, BGP routers, fabric controllers, out-of-band management, lab chassis):
      • What authentication model do you require for temporary escalation (MFA, just-in-time access, jump-hosts, privileged access sessions)? Options: MFA with SSO, Just-in-time privileged access, Dedicated jump-host with logging, Static privileged credentials (not preferred), Other — specify
      • Who is authorized to approve emergency configuration changes or rollbacks during the pilot (name/role)? Options: Network Ops Lead, Site/Transport Lead, VP/Director approval required, Pre-authorized pilot engineers, Other — specify
      • Are there change-control processes, tickets, or CAB approvals that will block rapid troubleshooting? If yes, how long do those approvals typically take? Options: No blocking approvals, Approvals in <1 hour, Approvals in 1–4 hours, Approvals in 24–72 hours, Varies by change — explain below

      Plan B: Rollbacks, Safety Nets, and Escape Hatches

      • Do you have a documented rollback procedure for the pilot changes that can be executed under pressure? Options: Yes, documented and rehearsed, Documented but not rehearsed, Ad-hoc verbal plan only, No rollback documented
      • What is your target rollback RTO (time to revert safely) that we should design to? Options: <5 minutes, <15 minutes, <1 hour, <4 hours, Depends on failure — specify below
      • Who is authorized to call a rollback and what is the decision escalation path during an emergency? Options: On-call engineer, NOC manager, Site/Transport Lead, Executive sign-off required, Pre-authorized automation triggers
      • Where are your backup configs, device images, and critical artifacts stored, and are they versioned and accessible during the pilot? Options: Git-based repo with access, Internal config vault, Manual backups on shared drive, Not currently centralized — need to collect
      • Can we rehearse the rollback on a non-production mirror or in the lab prior to pilot start? If yes, where and when? Options: Yes — lab mirror available, Yes — isolated test segment, No — only live run available, Undetermined — need to arrange

      Automation: Scripts, Telemetry, and Who Owns Them

      • How confident are you that automation will reduce human error during migration rather than introduce new risks? Options: Very confident — proven pipelines, Somewhat confident — partial automation, Skeptical — prefer manual steps, Undecided — want a hybrid approach
      • Which automation and orchestration tools are in your stack or preferred for the pilot (Ansible, Salt, Nornir, Netbox, CI/CD runners, in-house scripts)? Options: Ansible, Nornir, SaltStack, GitLab CI/CD, Jenkins, In-house scripts, Other — specify
      • Are your automation scripts stored in a version-controlled repository with branching, PR reviews, and test hooks? Options: Yes — full git workflow, Partial — some scripts in repo, No — scripts local/ungoverned, Not applicable — none exist
      • Who will own the runbooks and automation during the pilot (names/roles) and who will be the tie-breaker if runbook divergence appears?
      • What telemetry streams and KPIs must be consumed by automation for go/no-go decisions (e.g., interface counters, CPU, BGP convergence time, packet loss)? Options: Interface counters and errors, CPU/memory utilization, BGP session stability & convergence, Packet-loss/latency metrics, Streaming telemetry schemas (gRPC/JSON), Other — specify

      Lab Results — Evidence, Gaps, and What Keeps You Up at Night

      • Do the lab outcomes give you confidence to run the pilot as-is, or do they leave open operational questions we must still answer? Options: Confident — lab covered everything, Mostly confident — a few gaps remain, Not confident — significant open questions, Unsure — need help interpreting results
      • Please summarize the lab tests you ran and the pass/fail outcomes (throughput, convergence, scaling, telemetry):
      • Which specific lab results would you like us to reproduce in the pilot environment before a go decision? Options: Line-rate forwarding with production flows, Sub-second convergence on link/node failure, Full routing table scale and ECMP behavior, Telemetry completeness and API latency, Interoperability with incumbent vendor features, Other — specify
      • Were there any anomalies in the lab that you suspect might surface only under production traffic patterns? If so, describe.
      • What additional acceptance tests or stress scenarios would make your team sleep better at night before broad migration? Options: Extended soak under full traffic, Failure mode chaos testing, Control-plane scale tests, Interoperability edge-case validation, Power/cooling failure simulations, Other — specify

      Coordination Rhythm — Who Does What, When

      • If a critical incident occurs during the pilot, who is on the escalation list and in what order should we engage them?
      • What communication channels do you want us to use for routine updates versus urgent escalations? Options: Email for routine, Slack/Teams for updates, Phone for urgent, PagerDuty for urgent, War room for critical, Dedicated cross-org Slack channel, Other — specify
      • Do you have a RACI (or equivalent) defined for pilot tasks (who configures, who validates, who signs off)? If not, who should we coordinate with to build it? Options: RACI already defined, Partial RACI exists, No RACI — we should co-create, Prefer not to use RACI — alternate model
      • What are your expectations for on-call coverage during the pilot (hours per day, weekend coverage, dedicated engineer)? Options: Standard business hours, 24x7 on-call engineering, Extended hours during cutover only, Weekends only as needed, Other — specify
      • Who will make the final go/no-go decision at the end of pilot validation (name/role) and what criteria will they require to sign off? Options: VP/Director level sign-off, NOC/Operations Manager, Joint vendor-customer sign-off, Automated metric-based gate, Other — specify

      Signatures and Gates — Acceptance Criteria You Won't Bend On

      • Which acceptance criteria are absolute deal-breakers for you (list up to 5 non-negotiables)?
      • For the criteria you listed, what specific measurable thresholds constitute pass versus fail (e.g., <0.1% packet loss, BGP convergence <500ms)?
      • Which acceptance gates are negotiable or raise/no-go conditional issues we can mitigate (for example, tweak config, increase monitoring, extend pilot)? Options: Negotiable with mitigation plan, Negotiable if documented in pilot scope, Not negotiable — must meet threshold, Unsure — want vendor recommendation
      • Who will record and sign the acceptance results (roles and expected artifacts — test logs, telemetry captures, runbook annotations)? Options: Customer lab lead, Customer NOC + vendor engineer, Third-party testing validation, Automated reporting to shared repo
      • If an acceptance gate fails, what is the preferred next step—rollback, extend pilot with remediation, escalate to execs, or other? Please rank or describe. Options: Immediate rollback, Extend pilot + remediation plan, Escalate to execs for decision, Proceed with limited concessions, Other — describe
    2. Deployment Enablement

      Schedule pilot and migration tasks, assign owners, runbooks, escalation paths, and automation deployment steps.

    3. Validation Checklist

      Execute acceptance tests (throughput, convergence, telemetry), document results, and confirm go/no-go decisions.

      Validation Questions

      Starting the Conversation: What Brought You Here?

      • What’s the single most important trigger that moved this project from 'maybe' to 'now'? Options: Backbone capacity nearing 80%, Data center interconnect / peering demand, Network OS end-of-life / vendor EOL, 5G transport / mobile growth, Vendor consolidation initiative, Other
      • How long has this need been on your roadmap before reaching this point? Options: Weeks, 1–3 months, 3–6 months, 6–12 months, Over a year, Unsure
      • Who raised or sponsors this effort internally (team or role)? Options: VP Network Architecture, Director IP Engineering, Head of Network Operations, CIO/CTO, Procurement, Other
      • How would you describe the program’s urgency on a practical timeline? Options: Immediate — start within weeks, Near-term — 1–3 months, Planned — 3–6 months, Longer term — 6+ months, No firm timeline
      • If this project were delayed by 6 months, what would materially change for the business or operations?

      If We Could Break Your Network Right Now, What Would Hurt Most?

      • Which production services would cause the most customer and commercial damage if they degraded? Options: Transit / peering traffic, Cloud egress / IaaS connectivity, Mobile backhaul, Wholesale carrier circuits, Enterprise VPNs / leased lines, Critical peering exchanges
      • What failure modes keep you up at night when thinking about a migration? Options: Capacity exhaustion during peak, Control-plane instability under scale, Slow BGP convergence after failures, Interoperability edge-case causing prefix blackholing, Unexpected software crash at scale, Other
      • Tell us about the last significant incident that influenced your thinking on upgrades—what happened and what was the impact?
      • How do monitoring and detection typically surface problems today? Options: Streaming telemetry / automated alerts, NMS thresholds / SNMP, Customer trouble tickets, Manual operator monitoring, BGP route reports / peering alerts, Other
      • How quickly do you need automated detection and rollback to operate during a pilot or cutover? Options: Immediate / seconds, Minutes, Within the hour, Same day, No strict requirement

      Who Really Owns the Decision—and What They’ll Insist On

      • If the leadership team were asked to defend the choice of a new core router, what top-level objection would they raise? Options: Risk of migration outages, Long-term vendor lock-in, Cost vs incumbent, Operational retraining burden, Questions about performance at scale, Other
      • Which internal roles must explicitly sign off before you can run a pilot? Options: VP Network Architecture, Director IP Engineering, Head of Operations, Security/InfoSec, Procurement, Finance, Legal
      • For each stakeholder above, what is their primary success criterion (example: throughput, cost, APIs, support responsiveness)?
      • Who would likely veto the program if a non-technical concern surfaced, and what sort of concern would trigger that veto?
      • How risk-averse are the primary decision-makers when it comes to core routing changes? Options: Highly risk-averse — require overwhelming proof, Cautious — need strong lab + short pilot, Moderate — willing to accept some dual-vendor complexity, Aggressive — prioritize feature roadmap

      What Would Perfectly Working Look and Feel Like After Migration?

      • Imagine this migration is judged a clear success one year after completion—what three outcomes would you point to first?
      • Which measurable signals are must-haves for you to call the project successful? Options: Sustained line-rate forwarding across interfaces, Target routing table scale met, Convergence within defined window after failures, Streaming telemetry at expected throughput, Interoperability with existing vendors, Reduced operational MTTR
      • What specific numeric targets should we aim for (throughput Gbps, route count, convergence ms, telemetry events/sec)?
      • How should customer experience improvements be quantified (SLA compliance, transit latency, packet loss, customer NPS)? Options: SLA uptime, Mean time to repair (MTTR), Average latency reduction, Packet loss targets, Customer NPS / satisfaction, Other
      • What operational habits must improve to call this a success (automation, fewer manual CLI changes, fewer vendor escalations)?

      What Are You Willing to Tolerate During Migration?

      • How much traffic are you comfortable placing on a pilot/limited-production segment during validation? Options: <1% of total backbone, 1–5%, 5–20%, 20–50%, >50%
      • What is an acceptable duration for running a dual-vendor or mixed environment? Options: <3 months, 3–6 months, 6–12 months, >12 months, Depends on region / service
      • What are your non-negotiable rollback criteria during a pilot or migration window?
      • What level of transient customer impact is tolerable during migration planning/execution (e.g., short re-routes, temporary BGP flaps)? Options: No customer impact tolerated, Minimal impact with clear rollback, Tolerate short-lived reconvergence events, Some planned service disruption allowed
      • Which interfaces, protocols, or integrations must remain unchanged or fully compatible throughout the migration?

      The Lab Is the Truth: What Would Convince You?

      • What single failure in a lab test would cause you to pause the program until addressed? Options: Unable to sustain line-rate in key scenarios, Control-plane instability with full RIB, Convergence exceeds acceptable window, Telemetry/API rate too low or unreliable, Interoperability fail with critical neighbor, Other
      • Which lab test cases are absolute must-pass items for your team? Options: Full fabric line-rate forwarding, Maximum RIB / route scale, BGP churn and fast convergence, Segment routing and TE behaviors, Streaming telemetry under load, Interoperability with incumbent vendor
      • What pass/fail thresholds do you require for convergence and throughput testing (please provide target numbers or ranges)?
      • How would you like lab evidence delivered for internal review? Options: Raw captures / packet traces, Automated test logs and pass/fail reports, Live dashboards and metrics, Recorded test sessions and transcripts, Executive summary + technical appendix
      • Who on your team will be the technical authority for lab sign-off, and who will be the executive sponsor for acceptance?

      Hidden Constraints: What We Often Miss Until It’s Too Late

      • What obscure network behavior, custom script, or one-off integration would derail a migration if we didn’t surface it early?
      • Are there regulatory, peering, or contractual constraints that limit how and when we can change paths or handoffs? Options: Yes — peering / commercial constraints, Yes — regulatory constraints, No obvious constraints, Unsure / need to check
      • Do you have undocumented extensions, in-house BGP attributes, or custom telemetry consumers we should know about? Options: Undocumented BGP tweaks, Custom telemetry pipelines, Proprietary NMS integrations, None / everything documented, Unsure
      • Are there physical or data-center constraints (rack space, power budget, lead time for new gear) that will affect deployment timing? Options: Rack / space limitations, Power / cooling limits, Long procurement lead times, No physical constraints, Other
      • Who can approve exceptions when we hit one of these hidden constraints during the project?

      Timing, Commercials, and Next Steps — Can We Commit?

      • If we delivered validated pilot hardware and software in X weeks, would you be prepared to place a pilot order? Options: Yes — within 2–4 weeks, Yes — within 1–2 months, Maybe — need internal approvals, No — timeline too aggressive, Unsure
      • What is your target date to complete a pilot go/no-go decision? Options: Within 4 weeks, 1–2 months, 3–6 months, 6+ months, No firm date
      • Who owns the budget and procurement approvals for pilot and for multi-year volume purchases?
      • Which commercial terms are essential for you to proceed (select all that would materially affect your decision)? Options: Pilot pricing and credits, Multi-year volume discounts, Right to return after pilot, Performance SLAs tied to acceptance, Source code or escrow arrangements, Training and support commitments
      • What would be your preferred structure for acceptance gates (lab metrics, pilot duration, service-level proof, customer QoE)? Options: Strict lab metric thresholds, Lab + short pilot network validation, Pilot + customer QoE before scale, Iterative acceptance per region
      • What are the next three internal actions you need to take after this discovery to get to a pilot order?
  7. Success

    Confirm outcomes against success signals, capture learnings, and maintain a shared channel for issues and enhancements.

    Success Reviews

    • Success Executive Review — Outcomes vs Success Signals
    • Technical Acceptance & Validation Workshop
    • Operational Handover & Runbook Transfer
    • Lessons Learned & Continuous Improvement
    • Post‑Go‑Live Triage & Ongoing Improvements (Recurring Stand‑up)

    Issues & Enhancements

    • Archive a short Lessons Learned document in the shared channel for future reference and sales enablement.
    • Schedule follow-up validation tests for remediated items and define success criteria for re-test.
    • Re-establish Operational Pain Points
    • Complete a verified operational handover with runbooks, automation, and monitoring integrated into customer ops processes.
    • Identify any missing operational capabilities or training gaps and schedule remediation.
    • Ensure clear escalation paths and SLAs are in place and documented in the shared channel.
    • Publish final runbooks, automation scripts, and dashboard links to the shared channel and mark completed handover items.
    • Schedule hands‑on operator training sessions and certify named operators per the agreed checklist.
    • Update the NOC/SOC playbooks with vendor escalation contacts and onboard them to the shared communications channel.
    • Timeline Recap & Key Decision Points
    • Produce a prioritized improvement backlog derived from concrete lessons learned.
    • Assign accountable owners and deadlines for the top 3–5 improvements with measurable acceptance criteria.
    • One‑sentence Current State
    • Publish the Lessons Learned document and prioritized backlog to the shared channel within 5 business days.
    • Create product/engineering tickets for high‑priority items and assign owners with target delivery quarters.
    • Schedule the quarterly Continuous Improvement review with customer and internal stakeholders.
    • Incident Triage (Top 3)
    • Keep critical incidents progressing toward closure within agreed SLAs and maintain transparency with customer stakeholders.
    • Identify early telemetry signals requiring proactive mitigation to avoid degradation.
    • Ensure enhancement backlog items are progressing and customer feedback is being actioned.
    • Create/assign incident cards for any new issues and post updates to the shared channel immediately after the meeting.
    • Update telemetry dashboards thresholds or alerts if trends indicate false positives or missed detections.
    • Triage new enhancement requests into the prioritized backlog and notify owners of acceptance or deferral.
    • Obtain a clear executive decision tied to measured success signals (accept, remediate, or extend).
    • Ensure the business consequence that justified the project is acknowledged and addressed by the decision.
    • Assign accountable owners and deadlines for any remediation or handover activities.
    • Confirm persistent shared communication channel and stakeholder distribution list for post‑go‑live issues.
    • Produce and distribute the Executive Success Report (metrics, pass/fail, decision, owners) within 24 hours.
    • If remediation required, create remediation plan with milestones and owner within 3 business days.
    • Create or verify the shared channel (Slack/Teams) and add all named stakeholders; publish escalation matrix.
    • Confirm Current Operational Problem Statement
    • Demonstrate test artifacts that prove each technical success signal (Diagnosis -> Proof -> Validation).
    • Obtain explicit technical acceptance or prioritized remediation list with owners and timelines.
    • Ensure every proof is tied to a stated customer problem and elicit explicit confirmation from customer engineers.
    • Capture remaining interoperability or migration risks and rank them by operational impact.
    • Deliver a packaged evidence bundle (test logs, configs, charts, scripts) to customer engineering within 48 hours.
    • Open remediation tickets for any failed signals with owner, severity, and target resolution date.
    • Root Cause Analysis of Major Issues
    • Telemetry Trends & Early Warnings
    • Consequence Recap
    • Test Evidence Walkthrough — Throughput & Capacity
    • Runbook & Automation Walkthrough
    • Enhancement Requests & Backlog Status
    • Success Signals Dashboard
    • Monitoring, Alerting, and Telemetry Integration
    • Test Evidence Walkthrough — Convergence & Failure Modes
    • What Worked — Playbook Items to Repeat
    • Programmability & Telemetry Proof
    • Enhancement Backlog & Prioritization
    • Customer Feedback & Satisfaction Check
    • Gaps, Risks, and Impact
    • Incident Escalation Paths & On‑call Support
    • Interoperability & Migration Risk Assessment
    • Training, Knowledge Transfer, and Handover Checklist
    • Executive Decision & Next Steps
    • Assign Owners and Review Cadence
    • Action Review & Next Steps
    • Validation Vote & Acceptance Criteria Check
    • Wrap-up and Communication Plan
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