AI Leader · Solution Architect · TPM

Product · Plan

Product Discovery Opportunity Scorecard

Discovery dies in docs without a shared score. Rate problem clarity, evidence, solution fit, market timing, and feasibility — get Speculative-to-Conviction levels and a 90-day discovery plan.

Free product discovery scorecard and opportunity assessment tool. Ten questions for PM reviews — go, hold, or deepen — before you commit a build cycle.

Built for Product · Design · Eng · Founders

  • Answers stored in your browser until you optionally email a copy
  • Plain-language result you can paste into a board or CFO brief
  • Directional guidance — validate with a scoped pilot before budget lock

How it works

  1. Work through one question at a time — pick the option that matches how things work today, not your wish list.
  2. Get an instant maturity level (1–5) plus dimension scores.
  3. Share results with risk, platform, or transformation leads; unlock Print / Save as PDF with a work email when ready.

What this tool is for

Discovery work often dies in docs. Teams debate opinions without a shared score for problem clarity, evidence strength, solution fit, market timing, and feasibility — so weak opportunities consume build cycles.

Who it’s for: Product managers, design and eng leads, and founders who need a go / hold / deepen signal before committing a discovery sprint or build cycle.

What you get

  • Overall opportunity level from Speculative to Conviction-grade
  • Dimension scores for problem, evidence, solution, market, and feasibility
  • A 90-day discovery plan that targets your weakest evidence gaps first

AI Assessment Engine analyzes answers with transparent scoring heuristics in your browser — no data leaves the device for scoring.

How scoring works

Each answer scores 1–5. Dimension scores average within that theme. Overall level = rounded average across all questions (Level 1–5).

  1. 1
    Lower scores mark gaps for the 90-day plan.
  2. 2
    Dimension bars show whether risk concentrates (e.g. security vs strategy).
  3. 3
    Planning aid only — not a certification or regulatory attestation.
  4. 4
    Score evidence you can show (interviews, workarounds, data) — not pitch-deck confidence.
  5. 5
    Low evidence or feasibility often should gate build even when the problem feels obvious.
  6. 6
    Re-run after a discovery cycle to see whether the opportunity moved toward conviction-grade.

AI Assessment Engine analyzes answers with transparent scoring heuristics in your browser — no data leaves the device for scoring.

Key terms

Opportunity score
A structured rating of how validated a product opportunity is across problem, evidence, solution, market, and feasibility.
Problem clarity
How precisely you can name who has the pain, what friction occurs, and what it costs — without vague "better" language.
Workaround signal
Users already paying, waiting, or cobbling a fix — strong proof the problem is real.
TAM / SAM
Total and serviceable addressable market — sizing that should be bottoms-up when possible, not only analyst top-down.
Conviction-grade
Multi-source validation strong enough to fund with normal investment discipline and clear go/no-go criteria.

FAQ

What is a product discovery opportunity scorecard?

A shared scoring tool that rates one opportunity on problem clarity, evidence, solution fit, market/timing, and feasibility — so PM reviews debate evidence, not opinions.

How should we use the go / hold / kill signal?

Levels map to action: Speculative/Emerging → deepen discovery or kill; Validated → prototype carefully; Compelling/Conviction-grade → fund with normal discipline. The page plan spells next steps per level.

Should sales anecdotes count as strong evidence?

They are a start (Level 2-ish) but weaker than structured interviews, behavioral data, and paid workarounds. Score the strongest evidence you actually hold.

Can eng and product fill this out together?

Yes — especially feasibility and solution-fit questions. Joint scoring surfaces dependency and skill gaps before a build commitment.

Does the AI Assessment Engine send our answers to a server?

No. Scoring runs in your browser with transparent heuristics. Optional work email only unlocks Print / Save as PDF and follow-up resources.

Is this the same as prioritization (RICE / WSJF)?

No. This scores opportunity quality and discovery readiness for one idea. Prioritization calculators rank a backlog of already-accepted opportunities.

What if we score high on problem but low on feasibility?

Treat feasibility as a gate: validate data, API, and regulatory dependencies before staffing a large build. The 90-day plan for mid-levels targets those gaps first.