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patonkikhpatonkikh/APES/skills/product/idea-validator/skill.md

idea-validator

Skill3 starsChanged 4 months agoMITView on GitHub

Validate a product idea by mapping assumptions, assessing desirability/feasibility/viability signals, and producing a go/no-go/pivot recommendation with evidence gaps. Use when working on validating product ideas, assumption mapping, go/no-go decisions.

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We split this skill into the rules it gives an agent

3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If the idea is vague, ask clarifying questions before proceeding.

    line 34
  2. Distinctive:

    Run Validation checklist before delivery.

    line 80
  3. Distinctive:

    Use Lean Startup assumption mapping consistently.

    line 121

“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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Files
skill.md

Idea Validator

Purpose

Validate a product idea by mapping assumptions, assessing desirability/feasibility/viability signals, and producing a go/no-go/pivot recommendation with evidence gaps.

Input: Product idea description, target audience (if known), problem hypothesis (if any)
Output: Idea Validation Report with assumption map, scorecard, and recommendation
Examples: See examples.md for worked input/output.


Workflow

Step 1: Capture the idea

Extract and restate:

  • Core idea (one sentence)
  • Target user segment
  • Problem being solved
  • Proposed solution
  • Business model hypothesis (if stated)

If the idea is vague, ask clarifying questions before proceeding.

Step 2: Build assumption map

Categorize assumptions using Lean Startup framework:

CategoryAssumptions to identify
DesirabilityDo users want this? Is the problem real and urgent?
FeasibilityCan we build it with available technology and skills?
ViabilityCan we sustain a business (revenue, cost, distribution)?

List each assumption explicitly. Mark confidence: High / Medium / Low / Unknown.

Step 3: Identify evidence

For each assumption, document:

  • Existing evidence (user quotes, market data, prior experiments)
  • Evidence gaps (what is unknown)
  • Cheapest test to validate (interview, landing page, prototype, concierge)

Step 4: Score the idea

Apply scoring matrix (1–5 per dimension):

DimensionScoreRationale
Problem clarity
Target user clarity
Differentiation
Market size signal
Technical feasibility
Distribution feasibility
Riskiest assumption testability

Step 5: Generate recommendation

Based on scores and assumption map:

  • Go — proceed to problem statement refinement
  • Pivot — specify what to change (segment, problem, solution)
  • Stop — specify why and what would change the decision

Step 6: Validate output

Run Validation checklist before delivery.


Decision Rules

ConditionAction
Idea has no stated target userStop; request user segment definition
Idea solves no clear problemFlag as solution-in-search-of-problem; recommend pivot to problem discovery
All assumptions are Unknown confidenceRecommend discovery experiments before any build decision
Score average < 2.5Recommend Stop or Pivot with specific changes
Score average ≥ 3.5 and testable risky assumptionsRecommend Go with experiment plan
User provides market size claims without sourceMark as unverified; add to evidence gaps

Validation

  • Idea restated in one clear sentence
  • At least 3 assumptions listed across desirability/feasibility/viability
  • Each assumption has confidence level and evidence gap
  • Scorecard has rationale for every score
  • Recommendation is Go, Pivot, or Stop (not ambiguous)
  • Pivot/Stop includes specific actionable changes
  • No invented market data or user quotes

Anti-patterns

  • Enthusiasm without evidence — rating desirability High without any user signal.
  • TAM fantasy — citing billion-dollar markets without segment focus.
  • Build-first bias — recommending development before validating riskiest assumption.
  • Generic personas — "everyone" or "businesses" as target user.
  • Skipping viability — validating only whether users want it, not whether the business works.

Best Practices

  • Use Lean Startup assumption mapping consistently.
  • Prioritize the riskiest assumption for the cheapest possible test.
  • Separate facts from hypotheses in the output.
  • Reference comparable products only as competitive context, not as proof.
  • Time-box recommended experiments (e.g. "5 customer interviews in 1 week").

Output Structure

# Idea Validation Report: [Idea Name]

## Idea Summary
[One paragraph restatement]

## Assumption Map
| # | Category | Assumption | Confidence | Evidence | Gap | Cheapest Test |
|---|----------|------------|------------|----------|-----|---------------|

## Scorecard
| Dimension | Score (1-5) | Rationale |
|-----------|-------------|-----------|

**Average score:** X.X / 5

## Recommendation
**Decision:** Go | Pivot | Stop

**Rationale:** [Why]

**If Pivot:** [What to change]

## Recommended Experiments
1. [Experiment] — validates assumption #N — timeline: [X days]

## Open Questions
- [ ] [Question]

Next Skills

OutcomeRecommended Skill
Recommendation is Goproduct/problem-statement-builder
Recommendation is Pivot (problem unclear)product/problem-statement-builder
Need deeper user understanding firstproduct/persona-generator
Ready for strategic framingproduct/product-vision-builder

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