Build a Decision Criteria Matrix in Miro
Compare alternatives against clearly defined criteria and inspect the reasoning behind each rating. A weighted total is a discussion aid, not objective truth when its inputs are judgment calls.
Before you start: Have a bounded decision, comparable alternatives and an accountable owner. Separate mandatory constraints from preferences before scoring.
Worked example: Compare three onboarding changes on evidence-backed impact, effort and reversibility. An option that violates a required privacy constraint should not win by averaging other scores.
Step-by-step guide
List valid alternatives
Include the current approach when it is realistic. Normalize the detail available for every option.
Separate constraints
Identify conditions an option must satisfy. Evaluate these before any weighted preference total.
Define rating anchors
Explain what low and high mean for each criterion. Avoid numbers that imply precision without shared interpretation.
Record evidence and ratings
Attach a brief rationale and confidence level to important judgments. Keep unknowns visible rather than filling every cell by guesswork.
Test sensitivity
Change uncertain ratings or weights within plausible bounds. If the winner flips easily, treat the recommendation as fragile.
Record the decision
Save the owner’s choice, tradeoffs and review trigger. Preserve the matrix as reasoning, not as an unquestionable answer.
Common mistakes
Constraints averaged away
A mandatory requirement needs a separate check.
Scores without anchors
Different participants may rate different things.
Fragile winner hidden
Sensitivity matters when inputs are uncertain.
Tips
Keep evidence confidence separate from impact.
Use plain-language rating anchors.
Record the strongest case against the leading option.
Sources and verification
Based on product documentation checked on 2026-10-24. This is a documentation-based guide, not a hands-on benchmark. Features and availability can change.