Matrix
Frequency and severity matrix for research findings
A 2x2 matrix for prioritizing findings from customer interviews. Findings that are frequent and severe get fixed now. Rare but severe ones need more research. Frequent but minor ones are worth fixing at scale, and rare, minor ones can wait. Use it in a short session with the team before you write the report, so the report leads with what everyone agreed matters.
Where this appears
What's in this matrix
Vertical axis: Severity (Low to High). Horizontal axis: Frequency (Low to High).
- Investigate further (High severity, Low frequency): Rare but severe. Run more research before you commit to a fix.
- Fix this now (High severity, High frequency): Frequent and severe. These lead the report and the roadmap.
- Deprioritize (Low severity, Low frequency): Rare and minor. Note them and move on.
- Worth addressing at scale (Low severity, High frequency): Frequent but minor. Small fixes that add up across many customers.
Use this image
Free to use in your docs, decks and posts under CC BY 4.0, as long as you credit Koji with a link to this page. To embed it, paste this into your page:
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<a href="https://www.koji.so/visuals/research-findings-frequency-severity-matrix"><img src="https://www.koji.so/visuals/research-findings-frequency-severity-matrix/research-findings-frequency-severity-matrix.png" alt="Matrix that sorts research findings by frequency and severity into four actions: fix now, worth addressing at scale, investigate further and deprioritize." width="1200" height="678" /></a>
<p>Source: <a href="https://www.koji.so/visuals/research-findings-frequency-severity-matrix">Frequency and severity matrix for research findings</a>, Koji</p>
