Starting Point: Your Test Landscape

• Briefly describe your current test platform and the primary hardware types you validate.
• How many distinct test configurations or production fixtures do you run in a typical month? Options: 1-5, 6-20, 21-50, 50+
• Name the bus protocols and interfaces that are most critical for your avionics units under test. Options: ARINC 429/575 family, MIL-STD-1553, AFDX/ETHERNET, CAN/CAN-FD, High-speed serial / LVDS, RF / RFIF, Other
• Tell me which roles on your team own test-program development, and how that work is divided between lab and production. Options: Test engineering, Design engineering, Production engineering, Software team, Third-party integrator, Not formalized
• Walk me through a recent test cycle from lab validation to production acceptance, including handoffs and timing.
• On average, how long does it take to develop and validate a new test program for a new unit? Options: <2 weeks, 2-6 weeks, 6-12 weeks, 3+ months

Where the Current System Really Frustrates You

• What single recurring test failure or platform limitation would make you stop using the current system today?
• Describe the downstream costs when those failures occur, in rework hours, line downtime, or missed deliveries.
• Estimate how frequently protocol incompatibilities force you to build custom hardware or adapters. Options: Every build, Monthly, Quarterly, Occasionally, Rarely
• When those incompatibilities occur, give a recent example including the protocol, the adapter or workaround you used, and how long resolution took.
• When these issues surface, who notices first and how quickly do they escalate to program leadership? Options: Test engineer first, escalates within days, Production lead first, escalates within hours, Design engineering first, escalates within weeks, Other
• Estimate the revenue or schedule risk you would carry in the next 12 months if nothing changes. Options: Minimal, Moderate, High, Critical

Why Lab-to-Line Correlation Is a Non-Negotiable

• When lab results and production diverge, which functions or deliveries are impacted first?
• Describe your current method for measuring correlation between qualification and line tests, including the metrics you track.
• Identify the specific signals, metrics, or test vectors you consider most important when verifying lab-to-line correlation. Options: Timing/jitter, Analog amplitude/tolerance, Protocol message integrity, End-to-end latency, Fault-injection behavior, Other
• Walk me through an example where lab and line produced differing results, what the root cause was, and the resolution path.
• What deviation threshold between lab and line would make you reject a deployment? Options: Any mismatch, >5% deviation, >10% deviation, Depends on test type

Hard Limits: Deployment Constraints You Can't Ignore

• Name any infrastructure, access right, or facility constraint that would stop a deployment before it starts.
• For each external system that must integrate with the platform, indicate whether an API, physical interface, or manual handoff exists. Options: API available, Physical interface only, Manual/CSV handoff, No integration ready
• Where is serial number traceability currently stored, and who owns that dataset? Options: Local MES, ERP, File server / CSV, Not tracked, Other
• How many dedicated full-time engineers can you assign to commissioning and test-program migration for the first 90 days? Options: 0, 1-2, 3-5, 6+
• Are there regulatory reviews, security approvals, or supplier audits that could delay lab or production access? Options: Yes - regulatory, Yes - security, Yes - supplier audits, No
• Point to the one unresolved constraint that would force you to pause or cancel the project.

Who's At The Table and Who Pulls The Trigger

• Identify the decision-makers whose approval is non-negotiable for pilot acceptance and for final procurement.
• Map the stakeholders who must sign off on pilot acceptance, deployment, and ongoing support, including procurement and engineering roles. Options: Test engineering, Design engineering, Production, Quality, Procurement, Program management, Security/compliance
• How long does your procurement cycle typically take once technical approval is granted? Options: <4 weeks, 4-8 weeks, 2-3 months, 3-6 months, 6+ months
• Indicate the business metric or KPI the CFO or program owner will use to say yes. Options: Cycle time reduction, Coverage increase, Cost per UUT, Traceability to serial, Regulatory pass rate, Other
• Assuming a pilot delivers the stated improvements, who has authority to move the contract to execution and in what timeframe?

Alternatives You're Weighing (Competitors and Internal Options)

• Describe the conditions under which you would keep your current approach instead of switching to an external platform.
• Tell me which vendor categories or internal teams are on your shortlist right now. Options: Incumbent test vendor, Internal engineering build, Specialized instrument vendor, Turnkey systems integrator, Open-source software + in-house, No change / do nothing
• Select which of the following alternatives you are actively evaluating or have evaluated. Options: Incumbent platform, Internal development, New instrument vendors, Systems integrator, Outsourced test lab, Other
• Who internally has proposed solving this with in-house development, and what resources have they committed so far?
• Which factor above would most likely keep you with the incumbent or the in-house option instead of choosing a new external platform? Options: Lower cost, Faster delivery, No integration work, Existing support contract, Regulatory familiarity, Other

Concrete Acceptance Criteria That Make Decisions Simple

• Say the pilot could only demonstrate one outcome, which outcome must it prove for you to proceed?
• Provide the test cases, protocols, and minimum coverage you will require in an acceptance run.
• Typically, what sample size in serial units or test cycles is needed to statistically accept correlation and coverage? Options: 1-10 units, 11-50 units, 51-200 units, 200+
• Which acceptance criteria matter most to you, select all that apply. Options: Pass/fail parity with existing system, Coverage increased by defined percent, Cycle time reduced by defined percent, Traceability to serial number, Regulatory compliance demonstrated (DO-160/MIL-STD), Ease of program migration
• Name the person or role who will sign the final acceptance certificate and describe the evidence package they expect.
• When acceptance shows the expected improvements but reveals one minor gap, which gap threshold would still allow you to accept the system? Options: No gaps allowed, Minor non-critical gaps, Depends on mitigation plan, Requires re-test

A Practical Pilot: Reducing Risk and Compressing Timelines

• What's the shortest realistic pilot scope that would remove your biggest doubt about switching?
• Provide the physical assets and test articles we would need on site for a representative pilot.
• What timeline would you target for a pilot from kick-off to acceptance? Options: 2 weeks, 4 weeks, 6 weeks, Quarter (8-12 weeks), Longer than a quarter
• List the people who must be available from your side during pilot execution for daily troubleshooting and acceptance reviews.
• Specify the access, credentials, or sample data you can commit to provide before pilot start.
• When a pilot meets the agreed acceptance criteria, what is the earliest procurement milestone you can commit to? Options: Issue PO within 2 weeks, Begin contracting in 4-8 weeks, Budget approval next quarter, No commitment yet

• Solution Experience Session

• Confirm the current state and its cost
• You confirm that the demonstrated workflows eliminate the lab-to-line mismatch and reduce manual rework in the mapped scenarios.
• Provide three priority test scenarios, the expected acceptance criteria for each, and representative unit serial numbers for evaluation.
• You agree that the shown instrument mappings and test-exec flow will reduce cycle time for the prioritized scenarios.
• Map your priority scenarios to the platform
• Deliver a validated run of one mapped scenario on the platform and provide a cycle-time and coverage comparison report before the Solution Evaluation.
• Demonstrate cycle-time and coverage impact
• You identify the remaining test cases and measurable acceptance metrics required for the Solution Evaluation.
• Confirm the technical decision owner and target date for the Solution Evaluation session.
• Show the lab-to-line correlation workflow and example evidence
• Validate fit and identify remaining evidence

• Solution Experience Session
• Solution Experience Deck
• Solution Brief

• meeting
• slides
• document

• desired_state
• current_state
• stakeholders
• gaps
• success_criteria
• decision_readiness
• desired_state
• decision_readiness
• current_state
• success_criteria
• gaps
• stakeholders
• desired_state
• decision_readiness
• success_criteria
• stakeholders
• gaps
• current_state
• decision_readiness
• decision_readiness
• decision_readiness
• decision_readiness

• Install Modular Instrument Rack
• Install ARINC 429, MIL‑STD‑1553, AFDX, CAN Modules
• Install Test Executive and Development Environment
• Develop Initial Automated Test Programs
• Integrate Hardware‑in‑the‑Loop (HIL) Simulation
• Deploy DO‑160 Environmental Test Configuration
• Deploy MIL‑STD Compliance and EMI Test Modules
• Configure Parallel Production Test Cells
• Implement Automated Pass/Fail Reporting and Traceability
• Migrate Existing Test Programs to Platform
• Deploy High‑Speed Digital and RF Analysis Modules
• Deliver Instrument Module Refresh Kits
• Provide Operator and Maintenance Training

Install Modular Instrument Rack

• How many device under test (DUT) positions will share a single rack in your production cell? Options: 1, 2, 3-4, 5+
• Which physical rack form factor must we support (bench, 19-inch cabinet, sealed enclosure for EMI tests)? Options: Bench workstation, 19-inch rack cabinet, Sealed EMI enclosure, Wall-mounted chassis
• What is the maximum aggregate channel count (analog + digital + bus channels) the rack must accommodate at delivery? Options: Up to 32 channels, 33-128 channels, 129-256 channels, 257+ channels
• List the required power and cooling constraints for the rack, including voltage rails and rack-level heat dissipation in watts.
• Who will own on-site rack acceptance and electrical safety sign-off (name or role) and what documentation do they require?
• Specify any required rack-level cable management or fixture mounts for harnesses and DUT connectors (for example, ARINC 600 trays or custom harness clamps).

Install ARINC 429, MIL‑STD‑1553, AFDX, CAN Modules

• Which avionics serial/data buses must be supported at delivery and at what channel counts (ARINC 429, MIL-STD-1553, AFDX, CAN)? Options: ARINC 429, MIL-STD-1553, AFDX (ARINC 664), CAN
• What are the required bus speeds and timing tolerances for each protocol channel (for example 100 kb/s for MIL-STD-1553 or 100 Mbps for AFDX)?
• Do you require protocol-level error injection or bus emulation features for certification testing (for example 1553 bus errors, ARINC 429 parity faults)? Options: Yes, error injection required, No, passive monitoring only
• Provide the connector types and pinouts your harnesses use for each bus (for example ARINC 429 37-pin D-sub, MIL-STD-1553 twinax).
• Who will provide the bus traffic specifications or test vectors (role or document name, e.g., interface control document, ICD)?
• Which environmental certifications or ruggedization levels are required for these modules if they will be used in lab and shop-floor environments? Options: Lab only, Lab + production floor, Ruggedized for stress test environments

Install Test Executive and Development Environment

• Which test executive features are mandatory for your workflow: parallel test orchestration, sequencing with conditional branches, or remote instrument pooling? Options: Parallel orchestration, Conditional sequencing, Remote pooling, All of the above
• What source control model will you use for test programs and instrument drivers (for example Git repository with branch protections)? Options: Git with branch protections, Central file share, Proprietary test executive repository, Other
• What IDE and language support do your test developers require for script-based and graphical program development (for example Python, LabVIEW, C++)? Options: Python, LabVIEW, C/C++, Other
• List the credential and network integration endpoints needed for the development environment (for example LDAP/Active Directory domain, NTP server, build server).
• Who will be the named administrator for the test executive and what approvals are required for admin privileges?
• Specify any performance SLAs for test-executive command latency or test start-up time during production shifts. Options: <100 ms, <500 ms, <1 s, No SLA required

Develop Initial Automated Test Programs

• Which initial DUT scenarios must be automated during commissioning (for example power-on self-test, ARINC 429 functional checks, AFDX packet throughput)?
• What are the acceptance criteria that will confirm an automated test program meets your validation needs (for example agreement with lab correlation within X% for signal amplitude, bit-error-rate thresholds, and DO-160 pass/fail points)?
• Which version of the device hardware and firmware will be the baseline for first-release test scripts (model number and firmware build), and who owns change control?
• Describe required test-case traceability to requirements documents or interface control documents (ICDs) for acceptance reporting.
• Which measurement tolerances must tests enforce for analog and RF checks (for example ±0.5 dB, ±1 V, BER <1e-6)?
• Who will be responsible for test-case review and sign-off during program handover (role or title)?

Integrate Hardware‑in‑the‑Loop (HIL) Simulation

• Which system-level interfaces must the HIL environment emulate (for example ARINC 429 traffic patterns, MIL-STD-1553 RT/BC behavior, AFDX virtual links)?
• What timing and determinism constraints does your HIL require (for example worst-case message latency, jitter tolerances in microseconds)?
• List the stimulus and sensor models needed in the HIL scenario (for example GPS input simulation, inertial sensor models, discrete IO sequencing).
• Which simulation fidelity level is needed for correlation to lab tests: bit-accurate bus simulation, functional emulation, or full physics-based models? Options: Bit-accurate bus simulation, Functional emulation, Full physics-based models
• Who will supply existing simulation models or S-function libraries, and in which file formats (for example MATLAB/Simulink, AFDX trace captures)?
• Specify any deterministic logging or timestamp alignment requirements for correlating HIL runs to lab measurements (for example PTP or GPS-locked timestamps).

Deploy DO‑160 Environmental Test Configuration

• Which DO-160 sections must be supported in your qualification campaign (for example sections for temperature, vibration, and EMI)? Options: Temperature, Vibration, Humidity, EMI/RFI, Power input variations
• What test profiles or categories (for example Category A, B, C per DO-160) apply to your DUT for temperature and vibration?
• Which environmental chamber and shaker interface requirements must the test system support (for example chamber control protocol, accelerometer mounting points)?
• List the data acquisition sampling rates and sensor channel counts required to meet DO-160 data capture during environmental tests.
• Who is responsible for instrumentation calibration certificates and at what interval must calibration be provided? Options: Buyer provides certificates, We provide calibration at delivery, We provide and manage recurring calibration
• Specify any DO-160 reporting templates or formats required for regulatory submission and test evidence.

Deploy MIL‑STD Compliance and EMI Test Modules

• Which MIL-STD specifications must be demonstrated (for example MIL-STD-461, MIL-STD-1540) and which test types are prioritized?
• What EMI radiated and conducted limits or templates apply to your assemblies and where are those limits documented?
• Which RF frequency ranges and dynamic ranges must the RF modules cover for emission and immunity testing? Options: DC-30 MHz, 30 MHz-1 GHz, 1 GHz-18 GHz, 18 GHz+
• Describe required test harnesses and grounding strategy for EMI testing, including reference plane and cable routing constraints.
• Who will approve EMI test setups and test-site pre-scans prior to formal runs (role or title)?
• Specify any mandatory reporting artifacts for MIL-STD runs (for example raw spectrum files, test logs, and calibrated antenna factor tables).

Configure Parallel Production Test Cells

• How many parallel DUT test lanes must a single test cell support for peak production throughput? Options: 1, 2-4, 5-8, 9+
• What target throughput per lane and overall cell throughput must be demonstrated (units per hour)?
• Which physical fixtures and pick-and-place constraints must be supported for simultaneous DUT handling (for example fixture pin count, blind-mate connectors)?
• Who will manage flow-down of serial-number mapping and how will hardware serials be provided to the test system (barcode scanner, manual entry)? Options: Barcode scanner, Manual entry, Automated MES API
• What correlation threshold to lab results is required before declaring production runs valid (for example signal amplitude within X%, BER within Y)?
• How will you verify parallel test synchronization and resource arbitration across lanes during pilot runs (for example conflict logs, time-aligned traces)?

Implement Automated Pass/Fail Reporting and Traceability

• Which test-result artifacts must be stored with each serial number (for example raw waveforms, bus logs, test summary PDF)?
• What integration endpoints must pass/fail data flow to (for example MES, PLM, document repository) and which APIs or formats are required?
• List required retention periods and security controls for test evidence tied to flight hardware serials. Options: 1 year, 3 years, 7 years, Permanent archive
• Which fields must appear in the pass/fail report for procurement and inspection (for example serial number, firmware build, test operator ID, station ID)?
• Who is authorized to override a failed result and what approval workflow must be enforced for rework?
• Specify required export formats for audit packets (for example CSV, XML, signed PDF) and any checksum or signature requirements.

Migrate Existing Test Programs to Platform

• How many existing test programs or legacy scripts must be migrated and what languages or frameworks are they written in (for example legacy VB scripts, LabVIEW, proprietary executables)?
• What evidence will validate migration completeness and behavioral parity versus the legacy system (for example pass rates on a known validation build, side-by-side signal traces)?
• Which test cases must be migrated as priority for production cutover and which can be deferred?
• List any proprietary drivers or vendor-specific instrument APIs in legacy programs that will require rewrite or adapter development.
• Who will approve final sign-off of migrated test-program behavior and what bench fixtures are needed for equivalence testing?
• Specify acceptable regression thresholds during migration validation (for example maximum 1% test-case deviation or specified measurement delta).

• Purchase Agreement
• Master Services Agreement (MSA)
• Statement of Work (SOW)
• Software License & Subscription Agreement
• Service Level Agreement (SLA)
• Hardware Warranty & Maintenance Agreement
• Delivery & Procurement Milestone Schedule
• Acceptance Test Plan & Criteria
• Change Order Agreement
• Data Protection & Regulatory Compliance Addendum
• Intellectual Property & Test Program Migration Addendum
• Payment Security & Financing Terms

• Go-live Health Check (weeks 1-4)
• First Measurement Review (weeks 4-10)
• Acceptance Gate — Outcome Decision (around day 90)
• Quarterly Success Review (ongoing operational cadence)

• Refresh the enhancement and lifecycle request backlog with priority and expected delivery windows.
• Schedule technical detailed review(s) for root causes that require instrument or test-program changes.
• Restate acceptance criteria and numeric targets
• Formal acceptance decision recorded against each acceptance criterion recorded in Solution Evaluation.
• Remediation plan with deadlines for any failed criteria created and documented.
• Legacy platform decommission or retention-read-only state confirmed and next steps documented.
• Publish the acceptance decision document with pass/fail outcomes and the named buyer signatory record.
• Log remediation tasks for failed criteria with verification steps and target dates.
• Document legacy platform disposition, data archive status, and any remaining fallback processes.
• KPI trends versus Solution Evaluation targets
• Confirm whether KPIs are stable, improving, or require renewed intervention relative to Solution Evaluation targets.
• Ensure persistent issues are actively tracked and that blocker burn-down is progressing.
• Maintain a prioritized list of enhancement and lifecycle items in the shared channel for agreed follow-up.
• Update the KPI trend report and circulate to stakeholders with commentary on variances.
• Advance persistent defects in the tracker, updating target resolution dates where required.
• Re-confirm success criteria and owners
• Deployment is validated as complete or a clear remediation plan with deadlines is in place.
• Operational owners for each success criterion are confirmed and contactable.
• Top 3 critical blockers identified and scheduled for remediation.
• Publish the deployment validation checklist with status and identified gaps.
• Log all open issues into the shared tracker with target resolution windows.
• Collect missing access, fixture, or serial-data flow artifacts required to remove blockers.
• Present outcome data vs Solution Evaluation targets
• Clear understanding of where each named metric stands versus targets recorded in Solution Evaluation.
• A prioritized list of corrective actions with completion dates to bring metrics into alignment by the acceptance gate.
• Confirmed acceptance gate timeline and any remaining dependencies or risks.
• Publish the measurement report showing metric values versus Solution Evaluation targets.
• Create and log corrective-action tickets with remediation steps and target dates.
• Present outcome data per criterion
• Deployment and migration validation
• Persistent issues and blocker burn-down
• Root cause diagnosis for gaps
• Agree corrective actions and timelines
• Early adoption signals and usage patterns
• Document pass/fail and capture acceptance decision
• Enhancement and lifecycle requests channel review
• Operational risks and upcoming schedule constraints
• Remediation plan for any failed criteria
• Confirm timeline to the acceptance gate
• Open issues and blockers
• Review open defects affecting outcomes
• Agree immediate remediation actions
• Legacy platform decommission status