Opening: Where This Feels Most Real

• How urgent is the timing or tapeout risk you're trying to solve right now? Options: Immediate - tapeout < 2 weeks, High - 2–6 weeks, Medium - 1–3 months, Low - >3 months / exploratory
• Quick snapshot—which node and major design partition(s) are causing you the most grief?
• Who on your team will feel the pressure first if this issue delays the tapeout? Options: PD Director, CAD Manager, Tapeout Owner, Block Leads/Engineers, Program Manager, Other
• When a problem pops up in P&R today, what usually happens first—triage, long manual ECOs, or rolling back changes? Options: Immediate triage and debug, Series of manual ECOs, Patch and rerun flow, Rollback to earlier checkpoint, Escalate to management
• Tell us about a recent slip or near-miss: what happened, which block, and how many weeks were lost?
• Emotion check—how does recurring timing slippage make your team feel during crunch time? Options: Frustrated and exhausted, Nervous about schedule, Confident we can recover, Detached - seen this before, Other

Are You Comfortable With Your Tool's Story?

• What would it mean for your project and career if the incumbent P&R tool continues to deliver marginal closure on critical blocks? Options: Another tapeout slip, Major manual rework, Increase in resources and cost, Loss of schedule confidence, Unclear
• Which P&R tool(s) are you actively using today and what specific version(s) matter for this evaluation?
• How often do you see the tool generate timing fixes that create fresh DRC or routability violations? Options: Almost always, Often, Occasionally, Rarely, Never tracked
• When timing isn't closing, who owns the iterative ECO process and how many engineer-weeks does a typical fix consume?
• Give one or two concrete examples of failure modes you face today (e.g., hold slippage after CTS, routing congestion after optimization). What were the downstream costs?
• How do you currently measure the cost of poor P&R QoR—calendar days, engineer hours, or re-spins—and which of those matters most to leadership? Options: Calendar days lost, Engineer-hours, Financial cost, Re-spin risk, Other

What Would Silence the Midnight Calls?

• If you could wave a wand, what one QoR or runtime outcome would immediately reduce the late-night firefighting? Options: Deterministic timing closure, Fewer manual ECOs, Faster runtimes, Cleaner DRC on first pass, Other
• Which of the following are your primary evaluation metrics for a tool pilot? Rank up to three. Options: Setup slack (ps), Hold slack (ps), Total negative slack, PPA - power (mW), Area overhead, DRC clean runs, Run-to-run reproducibility, Wall-clock runtime
• What runtime bounds are acceptable per block for a pilot (wall-clock), given your CI or availability constraints? Options: < 12 hours, 12–24 hours, 24–48 hours, 48–72 hours, >72 hours
• How many representative blocks would you require in a pilot to feel confident—single worst-case block, 3–5 hotspots, or broader set? Options: Single worst-case, 3–5 hotspot partitions, 10+ representative blocks, Full-chip staging only
• Describe the success signal that would make you recommend adoption internally (specific numbers, e.g., >10ps setup improvement on 80% of blocks, DRC clean first pass).
• How important is preserving your existing constraints, scripts, and signoff equivalence during evaluation? Options: Critical - must preserve, Preferable but negotiable, Not necessary for pilot, Unsure

Where Do Migrations Trip You Up?

• If switching tools had a single point of failure for your project, where would it be—scripts, constraints, foundry flows, staff knowledge, or something else? Options: Scripts & automation, Constraint translation, Foundry PDK/PDK flow, IP/legal concerns, Staff ramp-up, Other
• Which of these items exist and are available for a pilot: constraint libraries, custom TCL scripts, signoff golden testcases, golden LVS/DRC decks? Options: All available, Most available, Some available, None available
• Approximately how many person-weeks would your team estimate are required to adapt scripts and constraints for a block-level pilot? Options: <1 week, 1–2 weeks, 2–4 weeks, 4–8 weeks, >8 weeks
• Which internal owners must be involved to migrate a block into a new flow (select all that apply)? Options: PD Engineers, CAD Engineers, Tapeout Owners, Verification Leads, IT/Infrastructure, Legal/IP
• What specific migration constraints or legacy practices do you expect will be hardest to change? Be concrete (e.g., proprietary ECO scripts, custom floorplan hooks).
• How willing is your team to adapt a small subset of scripts or relax a non-critical step for a short pilot to prove value? Options: Very willing, Somewhat willing, Reluctant, Not willing

How Do You Measure Trust in a New EDA Tool?

• If a new optimizer converged in two iterations but slightly changed the ECO process, would that increase or decrease your confidence? Why? Options: Increase confidence, Decrease confidence, Depends on metrics, Unsure
• What baseline data do you need from the incumbent to compare fairly—full flow logs, per-stage timing reports, power estimates, or something else? Options: Full flow logs, Per-stage timing reports, Power estimates, DRC/route reports, All of the above, Other
• How many independent runs or seeds do you require to consider runtime and QoR reproducible? Options: 1 run, 2–3 runs, 4–6 runs, 7+ runs
• What variance thresholds would concern you (e.g., >5ps run-to-run variation, >10% power swing)? Specify thresholds that are meaningful to your team.
• Who signs off on pilot quality—CAD manager, PD director, tapeout owner, or a cross-functional review board? Options: CAD Manager, PD Director, Tapeout Owner, Cross-functional board, Other
• What evidence beyond numbers (e.g., reproducible workflows, human-readable change logs, transparent optimization steps) would you need to trust a new tool?

What Would Make a Pilot Feel Safe for an Active Tapeout?

• What’s the minimal rollback or protection mechanism that would let you run a pilot on an active tapeout without sleepless nights? Options: Checkpointed rollbacks, Read-only evaluation mode, Sandbox environment, Full rollback plan with deadlines, Other
• Which contractual safeguards are non-negotiable for you to share design data with a vendor (select all that apply)? Options: NDAs, IP protection clauses, Data handling procedures, On-site-only access, Third-party audits
• How should we structure access: vendor on-site, VPN-limited remote, or customer-run local execution with vendor support? Options: Vendor on-site, VPN-limited remote, Customer-run local with vendor support, Hybrid
• What contingency triggers would require pausing or halting a pilot (e.g., >X minutes of wall-clock increase, new DRC violations), and what thresholds feel reasonable?
• How important is license and compute availability planning to your deployment rhythm? Options: Critical, Important, Somewhat important, Not important
• Would a time-boxed, block-level pilot with strict acceptance gates (fail-safe rollback) make you more inclined to proceed? If yes, what timebox works for you? Options: Yes - <2 months, Yes - 2–3 months, Yes - 3–6 months, No

Who Gets a Seat at the Decision Table?

• Who ultimately owns the decision to change P&R tools in your organization, and who influences that decision most? Options: PD Director, CAD Manager, Tapeout Program Manager, CTO/VP Engineering, Foundry Liaison, Other
• Which stakeholders need regular checkpoints during a pilot (select all that apply)? Options: Block Owners, CAD Team, PD Leadership, Verification, IT/Infrastructure, Legal/IP
• How does budget approval work for pilots—is it centralized, delegated to PD, or ad-hoc on a per-project basis? Options: Centralized, Delegated to PD, Ad-hoc per project, Part of tapeout contingency
• What timeline sensitivity exists for decision-makers—do they require results within executive review cycles or a fixed program milestone? Options: Executive cycles (<4 weeks), Program milestone (2–3 months), No strict timeline, Depends on results
• If the pilot shows moderate improvements but not complete parity, who has the authority to extend or scale the pilot? Options: PD Director, CAD Manager, Cross-functional board, Tapeout Owner, Other
• How would you prefer pilot outcomes to be presented to decision-makers—dashboard with metrics, narrative report with root causes, or live demonstration? Options: Dashboard with metrics, Narrative report + RCA, Live demo, Combination

Next Steps That Feel Achievable

• If we could guarantee a focused pilot that minimizes risk and preserves your current tapeout timeline, what would you want included in the first 30 days?
• Which pilot scope aligns best with your needs today? Options: Single congested block, 3–5 hotspot partitions, End-to-end full P&R on a mid-size block, Pilot integrated into CI
• Who from your team should be the day-to-day contacts for a pilot (names/titles), and who must be kept informed at a higher level?
• What acceptance criteria would you write into the pilot statement of work to feel comfortable moving to a longer evaluation?
• How do you prefer we structure checkpoints—weekly technical syncs, biweekly executive updates, or milestone handoffs? Options: Weekly technical syncs, Biweekly executive updates, Milestone handoffs only, Combination
• Finally, what's the single most important outcome you want from this discovery conversation to justify taking the next step?

Quick Grounding: Who You Are and What Brought Us Here

• To make this useful from the start, tell us your role and primary responsibilities on tapeout and P&R programs. Options: Director of Physical Design, CAD Manager, PD Engineer, Tapeout Owner, Signoff Engineer, EDA/Tool Admin, Other
• Which process node(s) and active tapeout timelines are currently most critical for your team? Options: Legacy (>7nm), 7nm, 5nm, 3nm, 2nm / advanced nodes, Multiple nodes, Unsure
• Briefly describe the single tapeout or block that motivated this conversation—what slipped or is at risk?
• Who are the core decision-makers or stakeholders for switching P&R tools (roles or names if comfortable)?
• If nothing changed and your current P&R friction cost another 2–4 weeks, what would the business impact be? Options: Missed tapeout / ship delay, Feature cut or re-planning, Reallocation of engineering resources, Manageable with overtime, Unknown

Are You Comfortable With 'Good Enough'?

• Do you treat late manual ECO cycles as an expected part of tapeout, or as a failure we should stop tolerating? Options: We accept ECOs as normal, They're accepted but costly, We view them as a critical problem, Not sure
• On average, how many full engineer-weeks are spent per tapeout on timing fixes and manual ECOs after the initial P&R run? Options: 0–1 weeks, 1–2 weeks, 2–4 weeks, 4–8 weeks, 8+ weeks, Don't track
• Tell us about the last time timing didn't close—what happened, who worked it, how long did recovery take?
• Which metrics currently give you a false sense of security (e.g., average slack vs. worst paths, spot checks, or manual reviews)? Options: Average slack/TNS, Worst negative slack (WNS), Number of failing paths, DRC counts, Runtime convergence reports, Other
• How does the team feel emotionally during late-cycle timing issues—stress, resignation, firefighting, burnout, loss of confidence? Options: High stress / burnout, Frustrated but confident it will be fixed, Resigned to repeated workarounds, Motivated to solve problem, Other

Draw Your Current P&R Blueprint

• If I walked into your toolchain right now, what's the shortest description of your end-to-end P&R flow that would surprise me?
• List the primary commercial and in-house tools and versions you run today for floorplanning, placement, CTS, routing, and signoff.
• Which custom scripts, wrappers, or golden flows are critical and must be preserved during any migration? Please include languages and owners.
• Describe your typical runtime profile by block: average run time, peak run time, resource profile (cores, memory), and cadence (overnight vs. day runs).
• Where do you most commonly see failures? Select all that apply so we can focus diagnostics. Options: Timing (setup/hold), DRC violations, Routing congestion, CTS/clock skew, Signoff mismatches, Reproducibility issues, Other
• Which block types are your recurring hotspots (e.g., large macros, high-fanout IO, dense standard-cell arrays, high-frequency cores)? Options: Large macros / mixed-size cells, High-fanout clock networks, Memory macros, Highly congested logic blocks, IO and analog islands, Other

The Moments That Break the Chain

• Which single recurring failure or pattern causes the most pain—and why does it feel impossible to prevent?
• Give 1–2 concrete examples of a failure that required repeated iterations and manual intervention—what was the root cause and sequence of fixes?
• How reproducible are those failures when you rerun the same flow (i.e., do repeated runs produce consistent results)? Options: Always reproducible, Often reproducible, Sometimes reproducible, Rarely reproducible, Never reproducible
• How often do DRC fixes or workaround changes introduce new timing regressions after you resolve them? Options: Almost always, Often, Sometimes, Rarely, Never
• When a block spirals, what are the primary business impacts you experience (select all that apply)? Options: Tapeout slip, Feature removal, Extra headcount / overtime, Lost market opportunity, Customer escalation, Other
• Do current tools give clear, actionable root‑cause signals or are diagnostics noisy and require expert interpretation? Options: Actionable and clear, Partially actionable, Mostly noisy, Not actionable at all

If Timing Closed Predictably Tomorrow

• If timing closed predictably with minimal manual ECOs, what would your team stop doing and what would you start doing instead?
• Define the measurable targets that would convince you to switch tools—be specific (WNS/TNS targets, %power reduction, area goals, runtime ceilings, DRC tolerance).
• What runtime and reproducibility behavior would you require (example: 'block X runs in <12 hours and results vary <2% between runs')?
• Which representative blocks must be included in any evaluation (size, congestion metric, function) and why are those persuasive to your sign‑offs?
• What precise acceptance criteria would make a pilot successful for you (e.g., WNS improvement ≥X ps, ECO count reduced by Y%, runtime below Z hours)?
• Who needs to sign off on results and what evidence do they trust most (timing reports, final layouts, signoff tool agreement, power analyses)? Options: PD Director, CAD Manager, Tapeout Owner, IP Owner, Foundry Signoff, Other

What's Really Standing Between Us

• What migration costs, hidden dependencies, or internal objections would block a trial even if the tech clearly improved QoR?
• Which legacy scripts, constraints, or golden flows require conversion effort and how many engineer-hours or FTEs would you estimate for that work?
• How sensitive are your projects to IP/NDAs or external data sharing—what controls are non-negotiable? Options: Very sensitive — strict controls only, Moderately sensitive — vetted sharing, Not sensitive, Varies by IP
• What rollback or isolation controls must be in place so a pilot cannot jeopardize an active tapeout (examples: read-only runs, shadow flow, gated test data)?
• How does your procurement and vendor approval process typically work for pilots—what legal, security, or commercial steps typically delay pilots?
• If budget were not a constraint, what three non-technical concerns (political, process, timing) would you want addressed before adopting a new P&R engine?

Small Bets, Clear Signals — How We Prove Value

• What would make a 3–6 month pilot feel like a low-risk, high-value experiment rather than a risky migration?
• Which deliverables and cadence would give you confidence (choose what you'd want to see weekly/biweekly): block QoR summaries, reproducibility logs, configuration diffs, stand-ups? Options: Weekly block QoR summary, Run reproducibility logs, Config and script diffs, Biweekly executive summary, Daily stand-ups during critical phases, Other
• What environment and license arrangements are realistic for a pilot: on-prem, vendor-hosted with secure access, or in your cloud? Options: On-prem (our infra), Vendor-hosted with VPN, Customer cloud (our account), Hybrid, Other
• When a run hits a critical failure, what escalation path and SLAs do you expect (who is notified and what is the expected response time)? Options: PD lead + CAD manager, 4h response, PD lead + vendor engineer, 24h response, Automated alerts then 8h on-call, Other
• Which short-term metrics would prove momentum inside two weeks (pick the top three you care about)? Options: Reduced critical path slack, Lower ECO count, Shorter runtimes, Improved convergence iterations, Cleaner DRC counts, Better first-pass QoR
• Would you be open to starting with a low-risk pilot on a non-critical block to validate migration and diagnostics before touching hot tapeouts? Options: Yes, Maybe, No

How We Got Here — A Quick Snapshot

• What specifically prompted you to explore an alternative P&R flow right now? Options: Missed tapeout or slip, Slow runtimes causing delays, Poor QoR on key blocks, Toolchain scalability limits, Preparing for advanced node (3nm or below), Other
• Who will be our main points of contact for technical coordination, and who signs off on pilot acceptance? Options: Director of Physical Design, CAD Manager, PD Lead / Architect, Tapeout Owner, Design Verification Lead, Procurement/Legal, Other — name/role
• How soon is your next tapeout milestone where improvements would materially reduce schedule risk? Options: < 1 month, 1–3 months, 3–6 months, 6–12 months, No imminent tapeout
• Quick snapshot — what is your current incumbent place-and-route tool (name + major version)?
• How would you rate current confidence in closing timing on your most critical block(s)? Options: High – consistently closes, Moderate – occasional manual fixes, Low – frequent manual ECOs and slips, Uncertain

Are You Comfortable Betting a Tapeout on the Same Process?

• What are your non-negotiable risk boundaries for an active tapeout (e.g., no changes to delivery flow, no external access to masked netlists)? Options: No external access to masked netlists, No changes to signoff scripts, Data sandboxing only, Full access under NDA, Rollback paths required, Other
• How much schedule variance (in weeks) is acceptable before a contingency plan kicks in? Options: <1 week, 1–2 weeks, 2–4 weeks, >4 weeks
• Who on your side must approve contingency or rollback controls before any pilot touches a tapeout block? Options: Tapeout Owner, Head of PD, Legal/IP, Foundry liaison, Other
• What specific safeguards would make you comfortable running an evaluation on an active project?
• If a pilot yielded faster convergence but required adapting one key script, how much change would you tolerate (percentage of migration effort)? Options: Minimal (<5%), Moderate (5–20%), Significant (20–50%), Major (>50%), Depends on guaranteed results

If Your P&R Flow Could Speak, What Would It Tell Us?

• Walk us through your current P&R flow from floorplan to signoff — where do you see the most manual handoffs?
• Which tool versions, custom scripts, and signoff checkers are critical for reproducing your flow?
• What are your typical runtimes for representative blocks at peak congestion (hours/days), and how reproducible are they? Options: <1 hour, 1–6 hours, 6–24 hours, 24–72 hours, >72 hours
• Which failure modes occur most often (select all that apply)? Options: Setup timing violations, Hold violations, DRC/routing congestion, CTS-induced noise/timing regressions, Tool crashes or hangs, Script mismatches, Other
• What constraints or migration blockers do you anticipate if we asked to run your flow (e.g., proprietary scripts, foundry signoff requirements)?

When Manual Heroics Have Become the Norm

• How often do engineers perform manual ECOs, reroutes, or manual placement adjustments to hit timing? Options: Daily, Weekly, Per tapeout milestone, Rarely/never
• On average, how many engineer-weeks are consumed by manual tuning on the critical block(s) during a slip event? Options: <1 week, 1–2 weeks, 2–4 weeks, >4 weeks, Unknown
• Tell us about a specific recent incident where the P&R flow failed to meet targets — what were the root causes and consequences?
• How does this manual firefighting affect team morale and ability to plan future projects? Options: Significantly impacts morale, Somewhat affects planning, Minor impact, No noticeable effect
• Who typically owns the after-hours or crisis response during a timing closure emergency? Options: PD engineers, CAD team, Tapeout owner, Manager-level escalation, Contractors/consultants

Which Outcomes Would Make This Feel Worthwhile?

• Which single metric would you refuse to trade off for gains elsewhere (timing, power, area, DRC, or runtime)? Options: Timing (setup), Timing (hold), Power, Area, DRC cleanliness, Runtime/predictability
• Please quantify the targets that would represent a successful pilot for you (e.g., <X ps setup delta, <Y% power, runtime < Z hours).
• Which blocks would you consider representative for a pilot (pick specifics or describe characteristics)? Options: Most timing-critical block, Highest congestion block, Large macro-dense block, Clocking-complex block, Multiple block set, Other — describe
• How important is runtime reproducibility versus a single best-run result when deciding to scale to full-chip? Options: Reproducibility is critical, Both matter equally, Single best-run okay if repeatable sometimes, Prefer best QoR regardless of repeatability
• What acceptance criteria would you want baked into a pass/fail checklist for pilot completion?

What Would Full Confidence Actually Look Like?

• If a new flow reliably reduced iterations from 6 to 2 on your worst blocks, what would that allow you to do differently as a team?
• How would you validate that block-level QoR improvements scale to full-chip complexity? Options: Staged full-chip integrations, Statistical extrapolation, Multiple block sampling, Foundry signoff pre-checks, Other
• Which signoff metrics or golden runs must match or improve before you’d consider switching the incumbent? Options: Timing WNS/Slack, Power (dynamic/leakage), Total routed wirelength/area, DRC error counts, EM/IR margins, Other
• Describe the communication and escalation cadence you’d expect during a pilot (owners, frequency, and emergency contacts).
• Who must be present for the final acceptance review (roles only)? Options: Director of PD, CAD Manager, Tapeout Owner, Foundry Signoff Engineer, Legal/IP, Other — role

Practical Barriers: What Could Stop a Pilot Before It Starts?

• What single migration task would most likely block you from running a 3–6 month benchmarking effort? Options: Adapting proprietary scripts, Recreating constraints, Sanitizing netlists, Legal/IP approvals, Resource availability, Other
• Which internal stakeholders typically slow approvals for tooling pilots, and why? Options: Legal/IP concerns, Procurement budget, Foundry validation, PD team bandwidth, Security/IT, Other
• How sensitive is your data — can you provide masked blocks, or do we need onsite/air-gapped evaluation? Options: Masked blocks ok, Air-gapped onsite only, Full access under strict NDA, Depends on block
• What level of scripting compatibility would you want to preserve (no change, minor adapters, full rewrite)? Options: No change, Minor adapters (~<20% effort), Significant adaptation (~20–50%), Full rewrite (>50%), Unsure
• Are there corporate or foundry policies that would prevent us from running certain analyses or storing intermediate results?

Decision Mechanics — Who, When, and What’s Required to Greenlight a Pilot?

• If the pilot delivered the agreed targets, who has authority to approve expanding it to more blocks or full-chip evaluation? Options: Director of PD, VP Engineering, CAD Manager, Tapeout Owner, Foundry Liaison
• What procurement or commercial steps must be finished before an on-site or sandbox evaluation can begin? Options: NDA/IP agreement, Pilot SOW, Purchase Order, Security review, Other
• What budget or resource owner will fund the pilot (internal cost center, shared R&D, vendor-funded)? Options: Internal PD budget, CAD budget, R&D/Pilot fund, Vendor-funded trial, Combination, Other
• How quickly could approvals be assembled if decision-makers were aligned (select realistic timeline)? Options: Within 1 week, 1–3 weeks, 3–6 weeks, >6 weeks
• What documentation or artifacts would make it easy for approvers to say yes (e.g., risk matrix, rollback plan, example runs)?

The Realities of Sharing Designs — Tell Us About Your Constraints

• What are your minimum IP and security requirements for external EDA tools touching your designs? Options: NDA + IP agreement, Onsite-only execution, Encrypted/sandboxed access, No external access allowed, Other
• Do you require formal data destruction/return procedures after pilot completion? Options: Yes, formal process, Prefer but not required, No, not necessary, Depends on data type
• Have you previously shared blocks with third parties for tool evaluations? If so, what went well and what failed?
• Would you prefer we run in your environment (on-prem), in a secured cloud, or in a vendor-hosted air-gapped facility? Options: On-premise customer environment, Secured cloud (customer-approved), Vendor-hosted air-gapped, Hybrid
• Are there legal or foundry approvals we should preemptively involve to avoid delays?

Next Steps That Feel Safe and Bold

• Are you willing to nominate one worst-case, highest-value block for a guarded pilot to validate the approach? Options: Yes — nominate now, Yes — need internal signoff, Not yet, Unsure — need more info
• What owner on your side would lead the pilot day-to-day (name/role), and what weekly checkpoint cadence would you prefer? Options: PD Lead, CAD Engineer, Tapeout Owner, Other — name/role
• What minimum success criteria must be met at the block level before you allow wider scale (please list thresholds or acceptance tests)?
• Which escalation path would you want if pilot runs show unexpected regressions (roles to notify and SLA for response)?
• If we could deliver a short proof-of-value within 2–4 weeks on a masked or non-critical block, how likely are you to proceed? Options: Very likely, Somewhat likely, Unsure, Unlikely

Let’s Start with the Story: Your Last Painful Tapeout

• Briefly tell the story of the most recent tapeout that slipped—what happened and who felt the pain first?
• How many weeks did the tapeout slip, and how was that time spent (ECO cycles, re-runs, blocker debugging)? Options: <1 week, 1–2 weeks, 3–4 weeks, >4 weeks
• Which block(s) or partition caused the highest impact, and what were their characteristics (size, congestion, clocking complexity)?
• Who were the primary owners involved in recovery (PD Director, CAD Manager, tapeout owner, ECO team, foundry contact)? Options: PD Director, CAD Manager, Tapeout Owner, ECO/Implementation Engineers, Foundry/Process Contact, Other
• When you think back, what felt most frustrating—was it the unpredictability, the manual rework, the tool behavior, or the schedule pressure? Options: Unpredictability, Manual rework, Tool behavior, Schedule pressure, Communication/coordination, Other
• How did leadership measure the impact—headcount overtime, missed revenue milestones, or delayed customer commitments? Options: Engineering overtime cost, Missed product milestones, Customer SLA impact, Penalty/contract risk, Reputational risk, Other

Why Are We Still Accepting Last-Minute ECO Sprints?

• Do you believe manual ECOs and multi-pass fixes are an unavoidable part of advanced-node P&R, or are they a sign of a fixable process/tool imbalance? Options: Unavoidable reality, Fixable with process/tool changes, Unsure
• How often do your design teams enter an emergency ECO cycle during the last 12 months? Options: Never, Rarely (1–2 times), Occasionally (3–5 times), Frequently (>5 times)
• Approximately how many manual ECO edits or signoff-rework iterations does a typical stuck block require before you accept a workaround? Options: 1–2 edits, 3–4 edits, 5–7 edits, 8+ edits
• Where does the team spend most of their time when chasing timing—tuning constraints, placement fixes, clock tree rework, routing cleanup, or manual cell swaps? Options: Constraints tuning, Placement fixes, Clock tree rework, Routing cleanup, Manual cell swaps, Other
• What emotional or organizational costs do these late sprints create (team burnout, missed promotions, hiring churn, stakeholder distrust)?

Are Your Tools Hiding the Real Bottleneck?

• If your current P&R toolchain were forced to explain the failures, what would it say is the root cause: poor multi-objective optimization, lack of routability awareness, or divergent local minima? Options: Poor multi-objective optimizer, Routability blind spots, Local minima convergence issues, Script/methodology constraints, Process corners/CTS issues, Other
• What P&R tool(s) and versions are you actively using today for the affected flows?
• Do you have bespoke scripts, wrappers, or hand-tuned recipes layered above the incumbent tool? If so, how entangled are they with your flow? Options: None, Light wrappers, Moderately entangled, Heavily entangled/customized
• Which stages generate repeated re-runs or regressions most often: placement, CTS, routing, signoff checks, or legalization? Options: Placement, Clock Tree Synthesis (CTS), Routing, Signoff checks, Legalization, Other
• How visible and reproducible are your runtimes and QoR between engineers—do runs vary wildly across machines, or are they stable and predictable? Options: Highly predictable, Some variance acceptable, Large variance across runs, Not measured

When Everything’s on the Line: Define Success

• If the new approach delivered exactly what you needed, what single measurable outcome would make leadership declare the project a win?
• Which metrics matter most for 'success' in evaluation: timing slack, power delta, area overhead, DRC clean signoff, or runtime predictability? Options: Timing (setup/hold slack), Power (total or dynamic), Area (cell density/footprint), DRC clean signoff, Runtime predictability, All of the above
• What target improvements would you consider meaningful (e.g., +5–10ps setup, −5% power, <1% area increase, 2× faster convergence)? Please specify ranges.
• What runtime ceiling is acceptable for a representative block benchmark—single-run wall clock or total engineering elapsed time? Options: <4 hours, 4–12 hours, 12–24 hours, >24 hours
• How will you decide whether QoR holds across the tapeout—what signals would trigger scaling to full-chip verification vs. rolling back?

What Would It Take to Run a High-Integrity Benchmark?

• What are your non-negotiable constraints for allowing an external tool to run on representative data: NDAs, air-gapped environments, traceable logs, or limited file exports? Options: Standard NDA, Data in air-gapped environment, No netlist leaves site, Traceable logs only, Limited file exports with masking, Other
• How many representative blocks (and what sizes) would you be comfortable including in an initial benchmark to be confident in results? Options: 1 small block (<1M gates), 1 medium block (1–5M gates), Multiple blocks across sizes, Full partition/full-chip sample
• What parts of your flow must remain untouched for the benchmark (custom scripts, proprietary floorplan constraints, or CTS macros)?
• Who needs to sign off on data access and benchmark scope (PD Director, CAD Manager, Security/Legal, Tapeout Owner, Foundry)? Options: PD Director, CAD Manager, Security/Legal, Tapeout Owner, Foundry Liaison, Other
• What acceptance criteria and deliverables would make the benchmark actionable (detailed report, bit-by-bit run logs, golden constraints, migration plan)? Options: Detailed QoR report, Run logs & reproducibility proof, Migration checklist, Automatic script adapters, Executive summary with risks, Other

Who Gets the Final Say — and What Keeps Them From Saying Yes?

• If the evaluation shows better convergence in two to three iterations, what organizational objections could still block adoption (IP risk, migration cost, incumbent relationships)? Options: IP/NDAs, Migration cost, Internal resistance to change, Existing vendor contracts, Foundry qualification concerns, Other
• List the key decision-makers and their top concerns (name/role and a short note on their primary worry).
• What rollback or contingency controls would make stakeholders feel safe during a pilot (versioned backups, freeze windows, manual override, canary runs)? Options: Versioned backups, Freeze windows, Manual override capability, Canary block runs, Approval gates, Other
• How much commercial flexibility do you require during pilot—trial license, limited scope pricing, or performance-based terms? Options: Trial license, Limited scope pricing, Performance-based terms, Standard pilot contract
• What timeline pressure exists from the tapeout schedule that will influence decision urgency? Options: Immediate (weeks), Near-term (1–3 months), Medium (3–6 months), Longer-term (>6 months)

How Much Work Is Migration Really Going to Be?

• Be blunt: how many person-days do you estimate are required to migrate scripts, constraints, and runbooks for a 1–3 block pilot? Options: <5 person-days, 5–15 person-days, 15–40 person-days, >40 person-days, Don't know
• Which artifacts are the heaviest lift to prepare: constraints, TCL wrappers, floorplans, tool-specific scripts, or custom cell/IO handling? Options: Constraints, TCL wrappers, Floorplans, Tool-specific scripts, Custom cell/IO handling, All of the above
• Do you have automation or CI infrastructure we can integrate with for reproducible runs, or will runs be manual per-engineer? Options: CI-integrated, Partial automation, Manual per-run, Not sure
• What target environment do you prefer for initial runs: your on-prem cluster, vendor-hosted isolated environment, or a hybrid? Options: On-prem cluster, Vendor-hosted isolated, Hybrid (on-site + vendor), Cloud (if acceptable)
• Who on your team will be the primary migration/benchmark owner and what is their availability window?

What Would Make You Confident to Scale From Block to Full-Chip?

• If block results look promising, what evidence would you require to believe those gains will translate to full-chip (statistical samples, multiple corners, staged scale tests)? Options: Statistical sampling across blocks, Multiple PVT/temperature corners, Staged scale tests (cluster→partition→full-chip), Foundry signoff run, Other
• What failure modes would force you to stop scaling (DRC regressions >X, timing regressions on critical paths, unacceptable power increase) — please specify thresholds?
• How many iterations of the new engine are you willing to run before concluding convergence behavior is predictable? Options: 1–2 iterations, 3–4 iterations, 5–6 iterations, More than 6
• What reproducibility tests must pass (bitwise/seeded runs, runtime variance limits, identical QoR across engineers)? Options: Seeded runs reproducible, Bitwise identical outputs, QoR within defined variance, Cross-engineer reproducibility, Other
• Would you accept a phased scaling plan with predefined gates, and if so, what gate would you insist on before moving from block to partition? Options: Pass DRC + timing targets, Stable runtimes across seeds, No manual ECOs required, Stakeholder signoff, Other

Deciding the Next Small Step

• If we left this conversation with one concrete next step, what would be most valuable: an NDA, a short pilot scope, an environment assessment, or an internal stakeholder workshop? Options: NDA, Pilot scope agreement, Environment assessment, Stakeholder workshop, Other
• Who should be on a 60-minute kickoff to align scope, and what outcome must that meeting produce?
• How quickly could you make representative data and one block available for an initial sandbox run (timeline choices)? Options: Immediately (within 1 week), 1–3 weeks, 3–6 weeks, Longer than 6 weeks
• What would you need from us before that kickoff to feel prepared (example outputs, case studies, sample runbooks, or a short technical brief)? Options: Case studies, Sample runbooks, Technical brief, References from similar customers, Other
• One last practical question: what is your top unstated worry about engaging in a pilot like this?