Findings Matrix
evaluationmediumIntermediate
TL;DR
Organizes all findings by severity, frequency, and impact to prioritize actions.
What is it
The Findings Matrix is a prioritization tool that organizes all problems identified in research into a tabular structure with severity classification, occurrence frequency, and solution effort. It enables the team to make informed decisions about what to fix first.
What it is for
Research methods that feed it
Usability testsHeuristic evaluationAnalytics analysisSatisfaction surveys
When to use it
When NOT to use it
How to create it step by step
- 1List all findings: Gather all problems identified in research with their evidence.
- 2Define classification criteria: Severity (1-4), Frequency (how many users affected), Business impact (high/medium/low).
- 3Score each finding: Assign values in each criterion based on research data.
- 4Calculate priority: Multiply severity × frequency to get a priority score.
- 5Add estimated effort: Work with development to estimate solution effort for each item.
- 6Order and present: Sort the matrix by descending priority. Quick wins (high priority, low effort) go first.
Tips for small teams
Common mistakes
Contextualized example
Context: Banking app with 15 findings from a UX audit.
Quick win #1: Transfer button poorly visible (Severity: 3, Frequency: 7/8, Effort: Low) → Change button color and position.
Major improvement: Confusing onboarding flow (Severity: 4, Frequency: 5/8, Effort: High) → Redesign the complete flow with progressive validation.
Related deliverables
Related methodologies
Free tool by UXR — UX Research Consulting in Chile