dogfooding
npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill dogfooding
Agent 安装分布
Skill 文档
Dogfooding
Scope
Covers
- Designing and running a dogfooding loop where the product team uses the product like a real user would
- Creating âcreator commitmentsâ when the product is for creators (e.g., publish a podcast, ship a workflow, run weekly reports)
- Capturing issues as reproducible artifacts (not vibes): logs, severity, decisions, owners, and follow-through
When to use
- âSet up a dogfooding program / dogfooding sprint for our product team.â
- âWeâre shipping soonâmake sure weâre using the product daily and fixing the biggest pain.â
- âWe built this for creators; our team needs to be creators to understand the workflow.â
- âCreate an internal beta plan and a weekly dogfooding report template.â
When NOT to use
- You need to validate market demand or solve who is the customer / what is the problem (do discovery first)
- The product team cannot realistically represent the workflow (e.g., regulated roles, hardware constraints) without proxies
- Youâre looking for user research replacement (dogfooding complementsânot replacesâexternal user feedback)
- The only goal is âQA everythingâ (use a QA/test plan; dogfooding is for experience + value + workflow realism)
Inputs
Minimum required
- Product summary + target user persona (who itâs for; what job it does)
- 1â3 core workflows to dogfood (end-to-end)
- Time box + cadence (e.g., 1 week sprint; 20 min/day; weekly triage)
- Participants (roles) + any âcreator commitmentsâ required
- Environment constraints (prod vs staging; data/privacy constraints; access constraints)
Missing-info strategy
- Ask up to 5 questions from references/INTAKE.md.
- If answers arenât available, proceed with explicit assumptions and label unknowns. Offer 2 scope options (lean vs thorough).
Outputs (deliverables)
Produce a Dogfooding Pack in Markdown (in-chat; or as files if requested):
- Context snapshot (product, persona, workflows, constraints, time box)
- Dogfooding charter (goals, participants, rules, cadence, definitions)
- Scenario map + routines (daily/weekly tasks + âcreator commitmentsâ)
- Dogfooding log + triage board spec (fields, severity scale, decision rules)
- Weekly dogfooding report (insights, decisions, shipped fixes, next experiments)
- Risks / Open questions / Next steps (always included)
Templates: references/TEMPLATES.md
Workflow (7 steps)
1) Frame the dogfooding goal (experience, not just bugs)
- Inputs: Product summary; desired outcomes; references/INTAKE.md.
- Actions: Define what âsuccessâ means for this cycle (e.g., âteam can complete workflow A in <10 min without workaroundsâ). Set constraints (environment, data, access).
- Outputs: Context snapshot + explicit success criteria.
- Checks: Success criteria are measurable and tied to a real workflow outcome (not âfeel betterâ).
2) Define representative scenarios + âcreator commitmentsâ
- Inputs: Target persona + workflows.
- Actions: Create 3â8 scenarios that represent real user goals. If the product is for creators, define a publish cadence (e.g., âeach PM publishes 1 artifact/weekâ).
- Outputs: Scenario map + routine plan.
- Checks: At least 1 scenario is âfrom scratch â shipped/publishedâ end-to-end.
3) Set up the capture system (log, severity, triage)
- Inputs: Existing tools (Jira/Linear/Notion/Sheets) or ânoneâ.
- Actions: Define the dogfooding log schema, severity scale, and triage rules. Decide labels/tags to link issues to scenarios and workflow steps.
- Outputs: Dogfooding log + triage board spec.
- Checks: Any issue can be reproduced with a clear âsteps to reproduce + expected vs actual + evidenceâ.
4) Run daily dogfooding sessions (time-boxed)
- Inputs: Scenario map + routines.
- Actions: Each participant runs 1â2 scenarios/day, captures friction immediately, and attaches evidence (screens, logs, timestamps). Record âworkarounds usedâ.
- Outputs: Daily log entries + a rolling âtop painsâ list.
- Checks: Entries are concrete (repro steps) and prioritized by impact on completing the workflow.
5) Triage weekly: decide, assign, and protect focus
- Inputs: Log + top pains.
- Actions: Run triage: cluster duplicates, classify (bug/UX debt/gap/docs), assign owners, and decide âfix now / schedule / wonât fix (with reason)â. Update scenario map if it was unrealistic.
- Outputs: Prioritized backlog + decision notes.
- Checks: Top 3â5 issues map directly to blocked/slow scenarios and have an owner + next action.
6) Ship loop: verify fixes by dogfooding again (no-ship gate)
- Inputs: âFix nowâ items + release plan.
- Actions: For each fix, re-run the scenario end-to-end. Apply a simple gate: âWe can complete the scenario with no hidden workarounds in the chosen environment.â
- Outputs: Verified fixes list + any regressions.
- Checks: The gate is based on completing scenarios, not just closing tickets.
7) Report + quality gate + next cycle plan
- Inputs: Final log + triage outcomes.
- Actions: Produce the weekly report. Run references/CHECKLISTS.md and score with references/RUBRIC.md. Add Risks/Open questions/Next steps and propose the next dogfooding cycle focus.
- Outputs: Final Dogfooding Pack.
- Checks: Report contains decisions (what changed) and shows evidence-backed learning (not just a bug list).
Quality gate (required)
- Use references/CHECKLISTS.md and references/RUBRIC.md.
- Always include: Risks, Open questions, Next steps.
Examples
Example 1 (Creator product): âWeâre building a podcast creation tool. Create a dogfooding program where the whole team publishes 1 short episode/week, and produce a weekly report template.â
Expected: scenarios from âidea â published episodeâ, creator commitments, log schema, triage cadence, and ship gate tied to publishing.
Example 2 (B2B workflow product): âSet up a 2-week dogfooding sprint for our AI meeting notes tool focused on ârecord â summary â share â action itemsâ.â
Expected: scenario map, daily routine, severity scale, triage rules, weekly report, and a verified-fixes list.
Boundary example: âDogfood this idea we havenât built yet.â
Response: dogfooding requires a usable artifact; propose discovery + prototype/usability testing first, then a dogfooding sprint once thereâs something to run end-to-end.