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[PROJECT NAME]

  1. 00OVERVIEW
  2. 01IMPACT
  3. 02PROBLEM
  4. 03RESEARCH
  5. 04PROCESS
  6. 05DECISIONS
  7. 06AI LAYER
  8. 07VALIDATION
  9. 08LAUNCH
  10. 09TAKEAWAYS

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[Project Name]

[One or two sentences on what the product does, who it's for, and the outcome. Lead with the result.]

ROLE
[Lead product designer]
TIMELINE
[Jan – Apr 2026]
TEAM
[1 PM, 4 engineers, 1 ML]
PLATFORM
[Web app, desktop]
TOOLS
[Figma, Claude, Cursor]

IMPACT

0

DAYS TO SHIP

+0%

USER GROWTH

0%

30-DAY RETENTION

−0%

[TIME ON TASK]

PROBLEM

[The core problem in one sentence: who struggles, with what, and what it costs them.]

CONTEXT

[What the product and market looked like before. What triggered this project.]

HOW MIGHT WE

[How might we … so that …?]

RESEARCH

CUSTOMER SUCCESS

“[A quote or ticket pattern from CS.]”

ENGINEERING

“[A technical constraint or opportunity.]”

CUSTOMERS

“[What users said or did in interviews.]”

SYNTHESIZED INSIGHTS

  1. I1[Insight that shaped the solution]
  2. I2[Insight that shaped the solution]
  3. I3[The hardest constraint to design around]

PROCESS

Low-fi

STAKEHOLDER REVIEW
  • [What the review voted for]
  • [What got cut, and why]

PROTOTYPE

[What the clickable wireframe let people try]

Mid-fi

DESIGN REVIEW 2
  • [Change made after review]
  • [Change made after review]

PROTOTYPE

[Flow tested with this prototype]

High-fi

USABILITY TEST
  • [What testing changed]
  • [What testing changed]

PROTOTYPE

[Interactions and motion it showed]

KEY DECISIONS

D1

[Decision]

WHY [Evidence behind it]

TRADE-OFF [What we gave up]

D2

[Decision]

WHY [Evidence behind it]

TRADE-OFF [What we gave up]

D3

[Decision]

WHY [Evidence behind it]

TRADE-OFF [What we gave up]

AI LAYER

[How AI shows up in the product, and the principle behind it — e.g. “the model suggests, the user decides.”]

ASSISTANT

USER[An example prompt a user would type]

AI

CONFIDENCE[82%]

IDLE
[How the AI is offered without getting in the way]
THINKING
[What the user sees while the model works]
LOW CONFIDENCE
[How uncertainty is shown]
ERROR / FALLBACK
[What happens when the model is wrong]
HUMAN IN THE LOOP
[How users review, edit or undo]

AI IN MY WORKFLOW

[How you used AI to design: research synthesis, prototyping in code, generating edge cases.]

GUARDRAILS

[Privacy, trust and safety decisions.]

VALIDATION

USABILITY TEST

[Task 1 success][94%]

[Task 2 success][81%]

[Task 3 success][63%]

ANALYTICS

BEFORELAUNCH ↑AFTER

LAUNCH

  1. [DATE][Beta to design partners]
  2. [DATE][General availability]
  3. [DATE][Follow-up iteration]

TAKEAWAYS

  1. 01[What you learned]
  2. 02[What you'd do differently]
  3. 03[What's next for the product]
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