Package & Board Co-Design
Long-cycle design programs where IP, foundry, and ecosystem partnerships execute against tapeout and market windows.
Inside this journey
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Pre-Discovery
Align cross-functional decision-makers and readiness before technical discovery.
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Stakeholder Alignment
Confirm decision roles, timelines, and commitment from die, package, and board teams required for a co-design evaluation.
Alignment Questions
Quick Intro: Tell Us Who You Are
- What's your role and primary area of responsibility on chip/package/board projects?
- Which of these best describes your company or organization?
- Briefly name the project or product family you’re exploring co-design for and its target market (one sentence).
- What is your target prototype or production timeline for this project?
- Who on your team should be the host contact for coordinating a technical evaluation or pilot?
If You Could Avoid One Thing Forever, Would It Be a Respin?
- How much did your last die/package/board respin cost in schedule and dollars (estimate)?
- How often does a late-package or board issue force a die respin or significant mask change in your projects?
- Which failure mode has bitten you most often—SI surprises, PDN instability, thermal hotspots, or mechanical/assembly issues?
- When a late failure happens, who inside your organization bears the hardest consequences (time, reputation, budget)?
- Tell us about a specific respin or prototype failure that still frustrates the team—what happened and why did it stick with you?
Where The Workflow Really Breaks Down
- If package decisions are made after die sign-off, how often do you see modeling discontinuities between die, package, and PCB?
- Describe the current sequential flow you follow from die to package to board (tools used, handoffs, checkpoints).
- Which tools and file formats are part of your handoff chain today (pick all that apply)?
- Where do routine handoffs create the most friction—geometry translation, material properties, connector definitions, or timing constraints?
- How long does it typically take to iterate after a cross-domain issue is found (from discovery to validated fix)?
The Modeling Shortcuts You Hope No One Notices
- Which simplified assumptions do you commonly make to keep flows moving—lumped-package parasitics, plane approximations, or reduced EM fidelity?
- How do you validate package and board models against silicon or lab measurements today?
- Where do models diverge most from reality—material data, interconnect parasitics, assembly stresses, or measurement setup?
- Have you tracked instances where tooling handoffs introduced a measurable performance delta? If yes, describe one example and its impact.
- How comfortable is your team with sharing a unified EM model across die, package, and board (IP concerns, tooling fit, trust)?
If Co-design Actually Worked Here, What Would Change?
- Imagine a first-pass success on SI/PDN/thermal—what measurable signals would convince you the co-design approach is superior?
- What target metrics matter most for acceptance—timing margin (ps), insertion loss/dB, IR drop (mV), temperature (°C), or respin probability reduction (%)?
- Which design scenarios should we use to demonstrate value—HBM integration, chiplet/interposer, high-speed SERDES, or power-hungry SoCs?
- What constraints must any proposed solution respect—IP quarantine, export controls, EDA licensing, or supply-chain partners?
- How much improvement in respin risk or prototype count would justify a sustained change to a co-design workflow for your organization?
Who Needs to Join the Table — and Who Will Resist?
- Which stakeholders must sign off for a co-design pilot to proceed (pick all that apply)?
- Which groups are most likely to resist earlier cross-domain collaboration, and why (cultural, tooling, resourcing)?
- What level of time commitment (hours/week) from die, package, and board engineers can you realistically allocate to a short pilot?
- Who holds the final decision authority for committing budget and IP access to an external co-design engagement?
- Are there internal governance or board reviews that need to see a pilot brief before work starts? If yes, who and what timeline?
Designing a Pilot That You Can’t Ignore
- What single demonstration (metric + scenario) would make you advocate for changing your standard workflow?
- Which datasets and artifacts will we need to run a representative pilot (layout files, material stacks, S-parameters, PDN netlists, thermal sources)?
- Which tool modules or services should be part of the pilot—EM extraction, SI simulation, PDN analysis, thermal CFD, or integrated co-solver?
- What acceptance criteria would you use to judge the pilot a success (specific numeric thresholds or qualitative outcomes)?
- Who will be responsible for providing data, validating results, and signing acceptance at pilot close?
Execution Friction: What Keeps You From Saying Yes?
- What single operational risk would make you pause a pilot—data leakage, tool incompatibility, resource drain, or unclear ROI?
- Describe the most likely integration challenge between our co-design environment and your existing toolchain.
- What level of onboarding and training would your engineers need to use a new co-design toolchain effectively?
- If a pilot ran into unexpected issues, what escalation path would you expect (who gets involved and in what order)?
- What fallback would you require if initial co-design outputs didn’t match expected fidelity—rework, extended validation, or rollback to current flow?
Money, IP, and Timelines — The Hard Tradeoffs
- If cost were fixed, how much IP/data access would you be willing to provide for a convincing pilot (full models, synthesized views, or black-box interfaces)?
- What commercial model do you prefer for an evaluation—time & materials, milestone-based fixed-fee, or proof-of-value contingent pricing?
- What internal procurement or legal milestones must we clear before work starts (PO, NDA, MSA, data transfer agreement)?
- What is your expected approval timeline for commercial and legal terms (weeks)?
- What ROI or cost-avoidance threshold would justify moving from pilot to an ongoing co-design engagement?
Practical Readiness: Data, Licenses, and People
- Which environments and licenses do we need to provision for the pilot (on-prem compute, cloud, solver licenses, EDA integrations)?
- Who will own day-to-day coordination inside your team for the pilot (name and role)?
- What data export or sanitization steps are required before sharing files externally?
- Are there specific security or compliance controls we must meet (e.g., secure file transfer, access audits)?
- How soon could your team provide the initial dataset for a pilot once agreements are signed?
When a Pilot Succeeds — How Will You Use It?
- If the pilot shows measurable respin reduction, how would that outcome be used internally—process change, new tool rollout, or one-off project practice?
- What artifacts or deliverables will you need from us at pilot close to convince stakeholders (technical report, runbook, model package, or demo session)?
- How would you like results presented—side-by-side SI/PDN/thermal plots, quantified respin risk reduction, or an executive summary with recommended next steps?
- Who will be the signature approver for pilot acceptance and moving to next phase?
- If successful, how quickly would you aim to scale a co-design workflow beyond the pilot project?
Let’s Agree the First Concrete Steps
- Are you willing to schedule a 60–90 minute scoping session to walk through a candidate design and confirm pilot scope?
- Who should attend that scoping session from your side (names and roles)?
- What date range would work for a scoping workshop in the next month?
- What is one clear thing we can commit to that would make you feel comfortable moving forward (e.g., NDA in place, pilot scope document, non-production data only)?
- Is there anything we haven’t asked that would be critical for you to decide on running an evaluation?
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Current State Mapping
Document the existing sequential flow, tooling, known failure modes (e.g., SI respins), and data exchange pain points.
Current State
Tell Us About the Project That Brought You Here
- To get us started, what single project or product brought you to explore package+board co-design today?
- What is your job title or decision role for this engagement?
- Which teams must be part of the evaluation to make a buying decision (select all that apply)?
- Where is your project today on the calendar relative to tapeout or prototype builds?
- Briefly describe the package technology and complexity we should evaluate (e.g., flip‑chip BGA with 6 substrate layers, fan‑out WLP, 2.5D interposer with <number> dielets).
Why Re-spin Feels So Personal
- How many of your last five projects experienced a die or board respin caused by package/board interactions discovered late in the flow?
- When a respin happens, which of these impacts matter most to you? Rank the top three in your head and then choose which matter (multi-select).
- Approximate the financial or programmatic cost of your most recent respin (pick the range closest to reality).
- Tell us about the moment you realized the late-discovered issue was a package or board problem—what happened and how did it feel for the team?
- How willing is leadership to invest in process or tool changes specifically to avoid future respins?
Where Reality Breaks Down: The Sequential Workflow
- If you had to name the one step in your current sequential flow that most consistently hides risk, which step would you point to?
- Walk us through your typical sequential handoff—list the core stages you actually run today (short phrases are fine).
- Which EDA or simulation tools are involved at each stage of your current flow (select all that apply)?
- Describe the common failure modes you see after the sequential flow (be specific—SI reflections, PDN resonances, thermal hotspots, interposer coupling, etc.).
- How often do you see model discontinuities (e.g., different EM meshes or conductor assumptions) between die/package/PCB tools that materially change results?
- Which team currently owns final SI/PDN/thermal sign‑off today?
Hidden Friction: Data, Tools, and the People in Between
- When a file exchange stalls a project, what usually explains it—format mismatch, licensing, IP restrictions, or simply 'who owns the files'?
- Which file formats and transfer methods do your teams currently rely on for die→package→board exchanges?
- Have you lost analysis fidelity when exporting/importing models between tools? Tell us about one concrete example.
- How do IP and confidentiality concerns shape what data you can share with external partners or vendors?
- Which of these tooling or people constraints slows down simulation or co-analysis the most for you?
What a Win Would Actually Look Like
- Imagine your next prototype passes SI/PDN/thermal on the first try—what would that change in concrete terms for the program?
- Which measurable success signals would convince you a co‑design approach worked? Select all that apply.
- For any metric you picked, please state the target or threshold you'd consider a pass (e.g., SI eye margin, PDN noise < X mV, thermal delta < Y°C).
- Which designs or interfaces must be represented in a pilot to make success meaningful (e.g., JESD, DDR/HBM, SerDes channels, power islands)?
- What organizational outcome would count as a win beyond the technical metrics (e.g., cross-team alignment, new governance, toolchain adoption)?
How Risk-Averse Is Your Team Really?
- If co‑design requires changing established handoffs and tools, how willing is your team to change behaviors?
- Who in your organization would need to be convinced for a full rollout (select all that apply)?
- Do you have engineers available to run a co‑design pilot, and roughly how many FTEs (full‑time equivalents) could be allocated for a 4–8 week pilot?
- What level of training or enablement would make your team comfortable using a unified co‑design environment?
- Which internal concerns could still block adoption even if the pilot technically succeeds?
Show Me the Evidence: What Makes a Pilot Convincing?
- What single comparison result (e.g., SI eye margin, PDN impedance plot, thermal map) would make you stop and say 'this is better'?
- Do you have a baseline set of SI/PDN/thermal results from your current sequential flow that we can use for head‑to‑head comparisons?
- What sample size or scope makes a pilot convincing for you—single representative die/package/board stack, multiple variations, or a full product stack?
- Which deliverable formats will best persuade your stakeholders (select all that apply)?
- What timeline do you need for a pilot to be valuable for your next program milestone?
Practical Next Steps — Who, When, and What
- If we agreed to run a pilot now, what would be the realistic earliest kickoff window for your team?
- What data artifacts can you make available for a pilot without legal approval (select all that apply)?
- Who should be the single point of contact (name and role) to coordinate data, scheduling, and acceptance criteria for the pilot?
- What contractual or IP constraints would need to be in place before we can exchange models and run joint simulations?
- Which of these internal approvals or budget authorities must sign off for a pilot to proceed?
- What would success sign‑off look like at the end of the pilot and who would be the final approver?
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Outcome Discovery
Define measurable success signals (first-pass SI/PDN/thermal compliance), target designs for evaluation, and key constraints.
Discovery Questions
Quick Snapshot: Where We Stand
- What's the one-sentence description of the project that brought you here today?
- Which best describes your organization?
- What is your role and how are you personally accountable in this project?
- Which packaging technologies apply to this effort?
- What phase is the design currently in?
- How much runway do you have before a hard decision or tape‑out milestone?
What Keeps You Up at 2 AM?
- How often do package‑related surprises (SI/PDN/thermal) force schedule slips or design respins?
- When a package‑late problem appears, what's the typical cost implication (development days, mask cost, or program delay)?
- Tell us about the last time a late package or board issue forced a respin or major rework—what happened and how did it feel for the team?
- Which consequence worries you most: schedule slip, cost overruns, performance miss, or brand/customer impact?
- How resilient is leadership to another unexpected respin or delayed launch?
Why First‑Pass Success Feels Impossible
- What belief about the current sequential die→package→board workflow would you say is holding your team back?
- Which tools and toolchains are you currently using across IC layout, package substrate/interposer, and PCB?
- How do you currently exchange models between die, package, and board teams (e.g., S-parameters, full‑stack EM exports, STEP/ODB++)?
- Where do you see the biggest modeling discontinuities today—lossy parasitics, PDN impedance mismatch, connector/launch modeling, thermal boundary conditions, or other?
- What training or experience gaps make co‑design feel risky to your engineers?
The Numbers That Matter — What Wins the Deal
- If we could guarantee one measurable outcome from a pilot, what single metric would make you say 'go'?
- What are your target thresholds for SI, PDN, and thermal that would constitute first‑pass success?
- How do you quantify respin risk today and what percentage reduction would be meaningful for your program?
- What statistical confidence or verification level do you require for acceptance (e.g., worst‑case corner, PPA margins, Monte Carlo confidence)?
- Which business outcome matters most when evaluating success: time‑to‑market, cost reduction, performance headroom, or fewer prototypes?
Which Designs Must Win (Select the True Tests)
- Which single, representative chip‑package‑board scenario should we run in the evaluation to be persuasive?
- How many design variants or SKUs should we include to feel confident (e.g., one critical path vs. three representative variants)?
- Do you have existing layout files or models we can use (e.g., GDS/OASIS, ODB++, Allegro, Mentor files)?
- What complexity drivers matter most for the evaluation: layer count, fine‑pitch routes, tight PDN, thermal hotspots, or heterogeneous materials?
- Are there manufacturing or assembly constraints we must model (e.g., via fill processes, substrate lamination variations, TSVs)?
Boundaries and Dealbreakers — Where We Can’t Cross the Line
- What data or IP cannot leave your network or be shared in raw form under any circumstances?
- Which security or compliance standards must any pilot environment meet (e.g., ISO 27001, SOC 2, on‑prem only)?
- Are there budget or procurement constraints that would prevent a pilot from starting within your desired timeline?
- What timeline or milestone is an absolute hard stop for results (e.g., before tape‑out on X date)?
- Are there governance or legal constraints (export control, NDAs, supplier approvals) that would block collaboration unless resolved up front?
Who Holds the Keys — Decision, Validation, and Execution
- Who will be the ultimate approver for accepting pilot results and moving to pilot‑to‑production?
- Who needs to be involved in the technical evaluation (names, roles): package architects, PD leads, SI/thermal engineers, manufacturing?
- How engaged are die, package, and board teams today—are they aligned, siloed, or actively conflicting?
- Who will own data preparation and file exports on your side during a pilot?
- How available are your subject‑matter experts for weekly co‑design sessions during a 4–8 week pilot?
Evidence & Baselines — What We’ll Compare Against
- Do you have baseline SI/PDN/thermal data from previous prototypes or lab measurements we can use for validation?
- How were past failures diagnosed—simulation mismatch, manufacturing variance, or assembly issues?
- What artifacts would you consider 'authoritative' for baseline comparison (S‑params, power transient logs, thermal IR scans, prototype test reports)?
- Are there existing acceptance tests or checklists we must map to for fairness (company QA, customer specs, industry standard tests)?
- How much variation in manufacturing or material properties should we assume when comparing to baseline?
How We’ll Prove It — Tests, Comparisons, and Acceptance
- If we run a pilot, what would a convincing side‑by‑side comparison look like to you?
- Which acceptance criteria must be passed for you to accept co‑design outputs without a respin?
- Which test methods will you trust for final validation: lab measurements, supplier sign‑off, or third‑party verification?
- What time budget is acceptable for the pilot's analysis and validation phase (from kickoff to acceptance report)?
- Are there specific corners or worst‑cases we must include (temperature, voltage, manufacturing variance)?
Practical Next Steps That Feel Safe
- What's the smallest, least‑risky pilot that would get you comfortable trying our co‑design flow?
- What internal approvals or procurement steps must be completed before we can start a pilot?
- What support would make your team most comfortable during the pilot: hands‑on training, co‑design workshops, joint engineering sessions, or turnkey analysis?
- How would you prefer we share preliminary results to build trust: interactive demos, raw data exports, or concise executive summaries?
- Realistically, when could your team commit to a pilot kickoff?
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Solution Experience
Run a co-design exercise on a representative chip-package-board scenario to demonstrate outcome improvements versus the sequential workflow.
Experience Meetings
- Solution Experience Pre-Alignment: Current State, Consequence, Future State
- Data & Environment Handoff: Baselines, Access, and Acceptance Criteria
- Co-Design Workshop — Run 1: Diagnosis, Proof, & First-Pass Improvements
- Co-Design Workshop — Run 2: Optimization, Sensitivity, and Robustness
- Results Validation & Decision: Executive Summary, Sign-Off, and Next Steps
- Agree on any remaining design tradeoffs and the recommended path to pilot or production readiness.
- Provision user accounts and confirm successful login test to the environment for all participants.
- Recap Current State & Success Signals
- Demonstrate at least one measurable improvement in a primary success signal directly tied to reduced respin risk.
- Ensure every displayed change is explicitly tied back to the customer's stated problem and consequence.
- Obtain validation from die, package, and board owners that the proposed changes are acceptable to pursue further.
- Capture and store the exact simulation configurations and results (version-controlled) from Run 1.
- Annotate which design changes delivered measurable gains and which did not for follow-up optimization.
- Customer to confirm whether the first-pass improvements meet their operational expectations or require alternate constraints.
- Recap Run 1 Outcomes & Optimization Targets
- Produce a robust optimized design that meets numeric acceptance criteria across realistic tolerances.
- Quantify how robustness reduces the probability of respin and map that to estimated cost/time savings.
- Introductions & Objective
- Generate a sensitivity report showing metric variance across each sweep and highlight worst-case scenarios.
- Document manufacturability concerns and estimated incremental cost/time for each recommended change.
- Seller to prepare a short list of final recommended changes for sign-off or further investigation.
- Executive Summary of Outcomes
- Obtain explicit stakeholder sign-off that the co-design results meet or exceed the agreed acceptance criteria.
- Agree a clear next step: proceed to pilot, refine scope, or stop, with owners and dates.
- Provide a documented handoff plan so the customer can integrate changes into their downstream flows.
- Distribute the final co-design report including all simulation artifacts, change logs, and sensitivity results.
- If approved, draft a pilot SOW and commercial terms capturing scope, deliverables, IP/data controls, timeline, and acceptance criteria.
- Assign owners for handoff tasks and schedule the Pre-Deployment Readiness meeting to prepare the pilot execution.
- Produce a single concise Current State sentence agreed by stakeholders.
- Quantify the business/technical consequence of the current failure mode in cost/time/risk terms.
- Produce a single concise Future State sentence and list 3 measurable success signals to validate during the exercise.
- Agree the representative chip-package-board scenario and secure owner commitments for pre-work deliverables.
- Customer to deliver baseline sequential workflow results and design files (GDS/OASIS, package CAD, PCB layout) by agreed date.
- Seller to provide required tool access checklist and environment spec (licenses, cloud/VM creds) and confirm readiness date.
- Assign a single technical point of contact from die, package, and board teams and confirm availability windows for workshops.
- Document the agreed one-sentence Current State, Consequence, and Future State in the shared workspace.
- Review Delivered Artifacts
- Confirm all required datasets and baseline outputs are available and validated for use in the co-design exercise.
- Ensure toolchain access and environment stability to run the co-design workflow without delays.
- Lock numeric acceptance criteria for each success signal so outcomes are unambiguous.
- Agree on secure data exchange process and owners for any updates during the exercise.
- Customer to upload any missing baseline files listed during the meeting within agreed SLA.
- Seller to validate and load baseline files into the co-design environment and confirm load report.
- Both parties to sign off on numeric acceptance thresholds for SI/PDN/thermal metrics.
- Baseline Sequential Workflow Review
- Targeted Optimization Iterations
- Detailed Metric Comparison
- One-Sentence Current State
- Baseline Result Walkthrough
- Define Targeted Changes & Hypotheses
- Explicit Consequence Quantification
- Remediation & Handoff Plan
- Toolchain & Environment Verification
- Sensitivity Sweep
- Stakeholder Validation & Decision
- Live Co-Design Execution — Diagnosis & Change
- Define One-Sentence Future State & Success Signals
- Manufacturability & Cost Tradeoffs
- Define Acceptance Criteria & Pass/Fail Rules
- Select Representative Scenario
- Immediate Results & Tie-Back
- Confirm Robustness vs Acceptance Criteria
- Confirm Data Exchange Process & Security
- Next Steps, Responsibilities & Timeline
- Pre-work & Data Checklist
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Solution Scope
Define scope: datasets, tool modules, services (EM extraction, SI/PDN/thermal analysis), responsibilities, and acceptance criteria.
Scope Configuration
- Build unified electromagnetic model across die, interposer, package, PCB
- Extract broadband parasitic network for die-package-board stack
- Full-stack signal integrity simulations using IBIS models
- PDN co-simulation and impedance profiling across the stack
- Thermal co-simulation and 3D hotspot mapping across stack
- Interposer routing optimization and layer assignment for chiplets
- Co-optimize bump and microbump placement with die routing
- Generate fabrication-ready package and interposer manufacturing files
- Produce PCB layout constraints driven by unified EM models
- Create reduced-order EM submodels for SPICE and PI tools
- Integrate SERDES channel models and IBIS-AMI for link simulation
- Deliver manufacturing DRC/LVS-clean package and interposer layouts
- Hands-on co-design tool training for die/package/board teams
Scope Questions
Build unified electromagnetic model across die, interposer, package, PCB
- Which physical domains should be included in the unified EM model?
- What design file formats will you supply for EM model construction?
- What is the primary frequency range the unified EM model must cover?
- Which mesh/accuracy/runtime tradeoff do you prefer for EM extraction?
- Who will own and maintain the canonical unified EM model during the evaluation?
- What acceptance criteria should the unified EM model satisfy (e.g., S-parameter match, port accuracy)?
Extract broadband parasitic network for die-package-board stack
- Which ports/nets must be included in the broadband parasitic extraction?
- What frequency band is required for the parasitic network (for S-parameters / RLCK)?
- Which output formats do you need from extraction?
- What is the target port count or extraction size (approximate)?
- What runtime or memory constraints exist for the extracted model (e.g., max memory, max runtime)?
- Who will validate extraction accuracy (e.g., compare to measurements or reference models)?
Full-stack signal integrity simulations using IBIS models
- Which interface families and channels should be simulated?
- Do you have IBIS/IBIS-AMI models for the chip and PHYs?
- Which SI analyses are required?
- What are the target metrics or pass/fail criteria for SI (e.g., eye height, BER, margin)?
- Should simulation compare co-design results to your current sequential baseline?
- Are there specific stimulus patterns or test vectors you will provide for SI validation?
PDN co-simulation and impedance profiling across the stack
- Which voltage rails and domains require PDN analysis?
- What frequency range is required for impedance profiling of the PDN?
- Do you have board/package PDN layouts (planes/decap placement) to provide?
- Are dynamic load/current waveforms available for transient PDN co-simulation?
- Should PDN analysis include thermal co-effects (coupled)?
- What impedance targets or acceptance thresholds should PDN meet (please specify units)?
Thermal co-simulation and 3D hotspot mapping across stack
- Do you need steady-state, transient, or both types of thermal analysis?
- What are the expected power dissipation values and worst-case hotspots (provide per-block if possible)?
- Which cooling methods will be modeled (select all that apply)?
- Do you require coupling between thermal and PDN/EM simulations for accuracy?
- What temperature limits or thermal acceptance criteria must be met?
- Will we have access to material thermal properties and stackup details?
Interposer routing optimization and layer assignment for chiplets
- What interposer technology will be used?
- How many chiplets and what aggregate bandwidth targets must the interposer support?
- Are there preferred or constrained layer counts for the interposer?
- What routing objectives should be prioritized?
- Are TSVs, microvias, or special DFM constraints required for the interposer?
- What deliverable do you expect from interposer optimization (e.g., layer assignment file, routed layout)?
Co-optimize bump and microbump placement with die routing
- What bump/microbump geometries and pitches are targeted?
- Are bump placement rules fixed by the foundry/OSAT or flexible for optimization?
- Which signals require prioritized shortest path to bump (e.g., high-speed SERDES, clock routes)?
- Should bump placement consider thermal via placement / heat removal?
- Who will approve bump placement changes (die team, package team, OSAT)?
- What acceptance metrics indicate bump co-optimization success (e.g., reduced skew, length, respin risk)?
Generate fabrication-ready package and interposer manufacturing files
- Which manufacturing file formats are required for handoff?
- Do you have specific DFM/DFT rule decks from your OSAT or foundry?
- Is a formal DRC/LVS sign-off required prior to release to manufacturing?
- What is the target handoff timeline for fabrication-ready files?
- Will seller coordinate directly with your OSAT/fab for file transfer and clarifications?
- What acceptance criteria must the manufacturing files meet (e.g., DRC-clean, process reviewer sign-off)?
Produce PCB layout constraints driven by unified EM models
- Which PCB CAD tools do your board teams use?
- Which constraint types do you need generated from EM models?
- Do you require automated importable constraint files for your PCB toolchain?
- Is the PCB stackup and material information available to derive constraints?
- Who will implement and validate the constraints on the PCB layout (board team, seller, or shared)?
- What success criteria should constraints achieve (e.g., reduce SI margin failures by X%)?
Create reduced-order EM submodels for SPICE and PI tools
- Which circuit or system-level tools must accept the reduced-order models?
- What is the desired complexity/size of the ROM (e.g., order and runtime targets)?
- Which output model formats do you need (.mdl, .sNp, behavioral models)?
- What ports and accuracy bands are required for ROM validation?
- How will ROMs be validated (time-domain comparison, frequency match, measurement)?
- Are there runtime constraints for simulations that ROMs must satisfy (e.g., <1 minute per run)?
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Mutual Commit
Agree commercial terms, IP/data access, timeline, and acceptance criteria tied to SI/PDN/thermal metrics and respin risk reduction.
Agreement Modules
- Non-Disclosure Agreement (NDA)
- Master Services Agreement (MSA)
- Statement of Work (SOW) - Pilot
- Commercial Terms & Payment Schedule
- Software License & Tool Access
- Data & IP Access Agreement
- Acceptance Criteria & Test Protocol
- Timeline, Milestones & Deliverables
- Service Level Agreement (SLA) & Support
- Security, Data Handling & Compliance (DPA)
- Change Order & Scope Management
- Termination, Exit & Handoff Plan
- Liability, Indemnity & Limitations
- Pilot Acceptance Sign-off
- Training & Deployment Enablement
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Deployment
Operationalize rollout with readiness checks, enablement, and outcome validation.
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Pre-Deployment Readiness
Confirm data handoffs, environments, tool licenses, owners, and risk controls are in place for the pilot execution.
Readiness Questions
Kickoff: What Outcome Are You Rooting For?
- What's the single most important result you want this pilot to prove (e.g., first-pass SI compliance, measurable respin risk reduction, validated thermal model)?
- When would you like pilot results in hand to make a go/no‑go decision for the next design phase?
- Who on your side will be the day‑to‑day point of contact for the pilot and who is the executive sponsor (name and role)?
- How confident are you right now that the team can commit the people and time this pilot will need?
- Have you run similar co‑design or cross‑domain pilots before? If yes, what worked and what failed?
- Would you prefer a focused technical proof (narrow scope, fast) or a broader validation (larger scope, slower) for this first pilot?
If This Pilot Stalls, What Breaks First?
- If we discover a show‑stopper late in the pilot (e.g., missing data, incompatible formats), what immediate business or schedule impact would that cause?
- Who will feel the pain most acutely if the pilot doesn't deliver—engineering leads, program managers, procurement, or customers? Please name roles.
- Thinking back to past respins or late SI surprises, what early warning signs did you miss that you’d want us to watch for in this pilot?
- How tolerant is leadership for an incremental pilot failure if it de‑risked future designs versus demanding immediate OKs?
- Which commercial consequences are highest priority to avoid (select up to three)?
- Who in procurement or program management will need a status update if the pilot slips, and how frequently do they expect updates?
Who Actually Holds the Keys to Move This Forward?
- Which single person or role must approve IP/data access for the pilot, and what is their approval process?
- List the teams (select all that will need to be involved or informed) for day‑to‑day work and governance sign‑offs.
- What internal escalations or sign‑offs are required before we can begin (e.g., security review, export control check, license procurement)?
- Who will be accountable for ongoing license or compute cost approvals during the pilot?
- How do you prefer ownership and responsibilities to be documented—RACI, simple email approvals, or formal SOW?
- If a single person on your team had to be pulled to lead daily coordination, who is the ideal candidate and why?
Can the Files We Need Actually Leave Your Walls?
- How comfortable are you sharing native layout and model files (e.g., OpenAccess, GDSII, OASIS) with an external partner under your IP rules?
- Which data types and formats will be required for the pilot (select all that apply)?
- What typical package/board file sizes should we expect (per model or dataset)?
- How do you currently transfer large EDA files securely between teams or to partners?
- Would you accept sanitized or partially redacted models for initial evaluation, with native data held in a controlled environment for deeper runs?
- Are there export control or regional restrictions that would prevent cloud processing or cross‑border data transfer?
Is Your Tooling and Compute Ready to Keep Pace?
- Could you run the co‑design toolchain in your environment (on‑prem or approved cloud) with available licenses, or will you need us to provision trial licenses?
- Which EDA or mechanical tool vendors and versions are in your stack (select all that apply)?
- Do you have access to appropriate EM/thermal solvers (licenses and runtime), and if not, what is the typical procurement lead time?
- What compute resources are available for heavy solver jobs (select all that apply)?
- Are there maintenance windows, batch job policies, or priority queues that could delay pilot runs? If so, describe typical job lead time.
- How willing is your IT/security team to create a short‑lived, isolated environment for pilot runs if required?
What Would Make Us Call the Pilot a Success—Without Doubt?
- Which quantitative metrics will you use to judge success (select up to three)?
- What baseline will we compare against—your current sequential flow results, a golden model, or previous prototype measurements?
- Who must sign off on the acceptance criteria (names/roles), and do they require formal documentation or a short demo walkthrough?
- Are there hard thresholds (e.g., max allowed insertion loss, PDN impedance) that would automatically fail a design in your program?
- If results are promising but not perfect, what remediation path is acceptable (e.g., additional runs, scope expansion, handoff to your engineering teams)?
- How will you quantify the business value from pilot outcomes (dollars saved, months saved, risk reduction score, other)?
Who Will Do the Day‑to‑Day Work—and How Much Will It Cost Them?
- If the pilot requires 1–3 engineers at 20% capacity for 4 weeks, can you commit those resources?
- Which skillsets will you provide versus expect from us (select all that apply)?
- Would you prefer we train your engineers during the pilot, or run the pilot as a managed service with a knowledge transfer at the end?
- How do you want progress communicated—daily standup, weekly technical review, or milestone reports?
- What internal costs or shadow work do you anticipate we should budget for (e.g., procurement of temporary licenses, security reviews, legal time)?
- If a critical engineer becomes unavailable mid‑pilot, who can step in and how long to ramp?
Guardrails: How Do We Keep IP, Schedule, and Trust Safe?
- What legal or contractual protections do you require before any IP or dataset moves outside your environment (select all that apply)?
- Are you open to a joint sandbox approach where native models stay on your servers and we run remote, authenticated sessions against them?
- What logging, audit, or access controls does your security team expect for vendor engineers accessing data?
- Do you require any insurance, liability limits, or indemnities tied to pilot work that we should include in an SOW?
- If a data incident occurred during the pilot, what immediate steps would you expect from the vendor?
- Are there any IP owners (third parties) whose permission we must secure before using certain models or data?
Final Go/No‑Go: What's the Remaining Hurdle?
- What's the single biggest remaining reason—technical, legal, or political—that would make you delay starting the pilot?
- What would you need to hear or see (artifact or assurance) in the next 7 days to move from hesitant to committed?
- Who signs the official go/no‑go and when can they sign (specify name/role and tentative date)?
- If we deliver preliminary results that show promise but require additional scope, do you prefer a fast follow‑on agreement or a pause for internal alignment?
- What is the earliest realistic pilot start date given current approvals and availability?
- Anything else we haven’t asked that would change whether this pilot succeeds (hidden constraints, political timing, upcoming reviews)?
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Deployment Enablement
Schedule pilot runs, coordinate engineering resources, provision co-design toolchains, and manage data exchange tasks.
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Validation Checklist
Execute acceptance tests, compare SI/PDN/thermal results to baseline, and document remediation or handoff steps.
Validation Questions
Quick Intro — Who's Driving This Project?
- What's your name, title, and the team you'll represent in this evaluation?
- Which best describes your organization?
- Who are the key stakeholders we should expect to involve (roles, not names)?
- What's your desired timeline for seeing a pilot result (e.g., proof of improved SI/PDN/thermal vs baseline)?
- What's the single most important outcome you want from this co-design evaluation?
- Who will be the final decision-maker(s) for moving from pilot to full adoption?
When 'Late Package Decisions' Cost You Millions — Tell Us About That
- Think about the last time a package-related issue forced a die respin or major delay — what happened and what was the root cause as you saw it?
- How often do package/board discoveries occur after die sign-off in your recent projects?
- How much direct schedule or cost impact did that most recent respin or late fix create (choose closest)
- When those surprises emerge, who typically bears the brunt—design, package, test, program management, or all of the above?
- How did that experience change the way your teams communicate or schedule future projects?
Are You Comfortable With 'Sequential'—Or Are You Quietly Compromising?
- Walk me through your current die→package→board workflow—where does the flow break down most often?
- Which tools or file formats do your die, package, and PCB teams currently exchange?
- How automated are your cross-domain data handoffs today?
- When models are translated between tools, what kinds of discontinuities do you see (e.g., missing parasitics, mismatched stack-ups, ignored coupling)?
- How long does it typically take to get a full SI/PDN/thermal model set ready for validation after package design is frozen?
- On a scale of 1–10, how confident are you that current handoffs preserve critical EM detail required for first-pass success?
When the Prototype Lands, What Keeps You Up at Night?
- What failure modes worry you most when integrating package and board with a new die (pick all that apply)?
- Describe a concrete example where the sequential flow produced a ‘surprise’ at prototype — what indicators were missed earlier?
- How do those surprises typically affect stakeholder confidence, future budgets, or program timelines?
- Which of these outcomes would most relieve that anxiety for you?
- How would you measure ‘reduced respin risk’ in your programs (metrics or KPIs)?
Imagine a Design Where Package and Board Were Partners, Not Afterthoughts
- If you could wave a wand and solve one co-design problem today, what would change first—time, cost, performance, or team alignment?
- Describe the target design or scenario you want us to use for the pilot (e.g., flip-chip with HBM, 2.5D interposer, chiplet cluster).
- Which success signals would convince you the pilot worked (pick up to three)?
- How should we measure success quantitatively for this pilot (preferred metrics)?
- Who needs to sign off on those success signals inside your org?
What’s Standing Between Good Intent and Getting This Done?
- What internal barriers have blocked co-design initiatives in the past—tool mistrust, IP concerns, org silos, or skill gaps?
- How comfortable are your legal/IP teams with sharing layout, package, and board data with an external co-design partner?
- If the biggest obstacle were people and process, what would success look like for the teams involved?
- How much internal change management bandwidth can you realistically allocate to run a pilot (owners, weekly syncs, reviews)?
- What reservations would cause you to pause before committing to a pilot, and how could we address them?
Data, Access, and Practicalities — Can We Run This Together?
- What datasets are available and at what readiness—layout/GDS, package stack-ups, IBIS/SPICE models, PDN nets, thermal boundary conditions?
- Are there specific formats or tooling constraints we must adhere to for automated ingestion?
- What security or IP controls would you require for the pilot (NDA, on-site work, containerized environments, data anonymization)?
- Who will be the data owner and single point of contact for file handoffs?
- What does success look like operationally at handoff—formats, timelines, and acceptance criteria for each dataset?
Commitment & Next Steps — If This Could Reduce Respin Risk, What's Your Move?
- If the pilot proves we can materially reduce respin risk, what decision would you want to be able to make immediately afterward?
- What commercial or legal terms will you need to see to move from evaluation to procurement (PO, trial license, service SOW)?
- What internal approvals are required and how long do they typically take?
- Realistically, how much calendar time and executive attention can you commit to run and review the pilot?
- What would be a reasonable first meeting cadence and decision-gate schedule to keep momentum?
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Success
Review pilot outcomes against success signals, confirm reduced respin risk and performance gains, and track a shared backlog for issues and enhancements.
Success Reviews
- Pilot Outcomes Review
- Metric Validation Workshop
- Respin Risk & Business Impact Confirmation
- Shared Backlog Prioritization & Roadmap
- Executive Alignment & Closure
Issues & Enhancements
- Align on the deployment roadmap that sequences fixes and retests to reach full acceptance.
- Deliver all raw simulation files, scripts, and logs to the agreed shared repo with access controls.
- Re-run any flagged scenarios with agreed parameter changes and deliver revised results.
- Produce a signed Metric Definition Sheet capturing formulas, thresholds, and owners.
- Executive One‑Line: Problem → Consequence → Future State
- Translate pilot technical outcomes into a quantified business case showing avoided costs and schedule benefits.
- Agree on the degree of respin risk reduction and accept the ROI assumptions used.
- Decide next commercial/operational step (scale pilot, contract update, or remediation path).
- Produce the respin risk reduction report with detailed assumptions and scenarios used for ROI.
- If approved, draft the proposed scope/timeline for scaling the co-design workflow to next designs.
- Assign owners to residual risk mitigations and schedule verification runs.
- Backlog Consolidation Review
- Create a prioritized backlog with defined owners, SLAs, and target dates.
- Ensure each backlog item has a measurable acceptance test tied to pilot success signals.
- Introductions & Meeting Objective
- Populate the shared CustomerNode backlog with agreed items, priorities, owners and due dates.
- Schedule sprint windows or pilot retest slots for high-priority items.
- Define test cases and data requirements for each backlog item's acceptance verification.
- One‑Line Summary (Current, Consequence, Future)
- Secure executive approval of the pilot outcomes and the recommended next step.
- Confirm any commercial amendments or resource commitments required to proceed.
- Establish governance and milestone cadence for scaled deployment or close-out.
- Deliver an executive one‑page summary and the signed pilot acceptance (or list of required conditions for acceptance).
- If proceeding, prepare the mutual commit update (commercial/NDAs/IP/data access/timeline) for signatures.
- Set the governance cadence (weekly status, monthly exec review) and assign primary contacts.
- Achieve shared agreement on which success signals passed and which require follow-up.
- Document measurable deltas versus baseline (SI/PDN/thermal and projected respin reduction).
- Identify immediate remediation items with owners and target dates.
- Prepare and circulate the formal pilot result package (metrics, traces, models, evidence links).
- Assign owners to any failed/partial acceptance items and set target dates for follow-up runs.
- Flag any high‑impact discrepancies for an expedited Metric Validation Workshop.
- Scope & Objective
- Validate that the pilot's raw datasets and analysis methods are correct and reproducible.
- Agree on canonical metric definitions, thresholds, and calculation scripts to be used for acceptance.
- Identify any data gaps or reruns required before final sign-off.
- One‑Sentence Current State
- Triage by Impact vs Effort
- Historical Respin Case Review
- Data Sources and Measurement Methods
- Key Validated Metrics & Business Impact
- Consequence Recap (Baseline Impact)
- Pilot-driven Root Cause Mitigation
- Commercial & Operational Implications
- Prioritization & SLA Assignment
- SI Waveform & Timing Walkthrough
- Quantified Respin Risk Reduction & ROI Model
- Decision & Sign-off
- Integration into Deployment Roadmap
- PDN & Thermal Result Validation
- Pilot Results Overview (Diagnosis → Proof)
- Uncertainty & Sensitivity Checks
- Residual Risk & Mitigation Plan
- Acceptance Criteria Checkpoint
- Confirm Next Milestones and Governance
- Acceptance Criteria for Backlog Items
- Validation Q&A and Forced Confirmation
- Decision Point: Proceed/Extend/Remediate
- Agreement & Sign-off on Metric Definitions
- Immediate Next Steps & Responsibilities