Prototype Evaluation Rubric

An interactive, scored rubric to evaluate prototypes against criteria such as learning rate, required fidelity, build cost, deployment risk, and customer reaction. Collects structured evaluations, stores results, and provides clear, practical guidance for deciding whether to iterate, pivot, scale, or retire a prototype.

Interactive Tool

Prototype Evaluation Rubric

This rubric helps teams make objective, evidence-focused decisions about what to do next with a prototype. Use the scales to rate each criterion (1 = lowest / easiest / least valuable, 5 = highest / hardest / most valuable) based on current observations and data. After submitting, sum the five numeric scales to produce a total score (range 5–25). The rubric includes a suggested interpretation and next-step guidance, which are heuristics to support discussion rather than rules.

Scoring interpretation (heuristic)

  • 5–9 (Low): Prototype yields little validated learning or too many constraints; typically iterate with cheaper experiments, reframe assumptions, or retire.
  • 10–14 (Moderate): Some useful learning but remaining uncertainty; run targeted follow-ups to reduce key risks before committing to scale.
  • 15–19 (Strong): Solid learning and promising customer reaction; consider hardening the most valuable elements and preparing to scale cautiously.
  • 20–25 (Very Strong): High learning, strong customer reaction, acceptable cost and risk — evaluate operationalization, compliance, and go-to-market readiness for scaling.

For each evaluation, capture brief observations and a recommended next step to make decisions transparent and repeatable.

A short name so the evaluation is easy to find later.
YYYY-MM-DD (or freeform).
1 = generates almost no useful evidence; 5 = produces rapid, high-quality validated learning.
1.0 10.0
1 = low-fidelity (paper/clickable mock) sufficient; 5 = high-fidelity or production-like needed.
1.0 10.0
1 = very low cost; 5 = very expensive or time-consuming.
1.0 10.0
1 = minimal risk; 5 = high regulatory/operational risk requiring expert review before any field testing.
1.0 10.0
1 = negative or indifferent; 5 = strong positive signal and clear value demonstration.
1.0 10.0
Describe what you observed, sample quotes, metrics, screenshots, or links to recordings. Keep it factual and concise.
Choose the most appropriate recommendation for now.
Who completed this evaluation?
Short list of next actions, owners, or experiments to run next.
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