lamina-design
Shape intended product behavior in Lamina's transactional graph when explicitly invoked as lamina-design or when passive…
Plan and synthesize evidence-grounded product research. Use when deciding what evidence is needed, designing actor walkthroughs, grounding claims in a repository or live product, analyzing user-provided references, modeling users and tasks, or communicating findings without
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Plan and synthesize evidence-grounded product research. Use when deciding what evidence is needed, designing actor walkthroughs, grounding claims in a repository or live product, analyzing user-provided references, modeling users and tasks, or communicating findings without
name: lamina-research description: "Plan and synthesize evidence-grounded product research. Use when deciding what evidence is needed, designing actor walkthroughs, grounding claims in a repository or live product, analyzing user-provided references, modeling users and tasks, or communicating findings without inventing data. Use lamina-evaluation instead to judge a built product, and lamina-ux to design interaction behavior."
1. Match the request's primary research decision to one row below. 2. Open that linked reference before answering. Add another only when a second decision materially changes the answer; do not preload the directory. 3. Start the response with `Using lamina-research: <topic path(s)>` so the selected evidence lens is auditable.
| Decision signal | Read | Adds | |---|---|---| | Need to plan who or what a verification pass will exercise | [Simulation Planning](references/research-planning.md) | actors, probes, parallel groups, and success criteria | | Need to distinguish known evidence, assumptions, and evidence gaps | [Evidence Scoping](references/research-scoping.md) | source inventory and confidence labels | | Need to merge several walkthrough results into non-duplicative findings | [Simulation Synthesis](references/research-synthesis.md) | clustering, root causes, severity, and traceability | | Need to hand research findings to a designer or implementer | [Findings Communication](references/research-communication.md) | reproducible evidence and actionable finding structure | | Need to inspect an existing repository, running product, capture, or ticket | [Live Product Grounding](references/field-research.md) | grounded surface and behavior claims | | Need to define what each actor should attempt in a walkthrough | [Actor-Walk Script Design](references/interview-design.md) | goals, starting state, stress probes, and observable success | | Need to record a walkthrough so another person can reproduce it | [Walkthrough Evidence](references/interview-documentation.md) | per-step expected/observed evidence | | Need to learn from a user-supplied competitor, screenshot, or reference | [Reference Patterns](references/competitive-analysis.md) | borrowed patterns and deliberate differences without market theater | | Need to define evidence-backed Personas, Actors, permissions, or constraints | [User Modeling](references/user-modeling.md) | provenance-aware user and authority models | | Need to decompose an actor goal into operations and workflow steps | [Task Analysis](references/task-analysis.md) | outcome-oriented task structure and working sets |
Use the smallest sufficient reference set. Common pairs are evidence scoping + live grounding before a study, and actor-walk design + walkthrough evidence for a reproducible session. Preserve permissions, states, failures, recovery, relationships, and evidence limits. Route elsewhere only when another capability's decision materially changes the research plan.
Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship.
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