Matrix
Importance-performance analysis matrix
The importance-performance analysis (IPA) matrix plots each attribute by how much customers care about it and how well you deliver. The axes cross at the average importance and average performance, not the scale midpoint. Read it to decide what to fix first, what to protect and where to free up effort. Koji's AI interviews collect both ratings and the reasons behind them.
Where this appears
What's in this matrix
Vertical axis: Importance (Low to High). Horizontal axis: Performance (Low to High).
- Concentrate here (High importance, Low performance): High importance, low performance. Your fix-first list.
- Keep up the good work (High importance, High performance): High importance, high performance. Protect these strengths.
- Low priority (Low importance, Low performance): Low importance, low performance. The return on effort is small.
- Possible overkill (Low importance, High performance): Low importance, high performance. Move effort elsewhere.
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/importance-performance-analysis-quadrant-matrix"><img src="https://www.koji.so/visuals/importance-performance-analysis-quadrant-matrix/importance-performance-analysis-quadrant-matrix.png" alt="Matrix of importance against performance showing the four IPA quadrants: Concentrate here, Keep up the good work, Low priority, Possible overkill." width="1200" height="630" /></a>
<p>Source: <a href="https://www.koji.so/visuals/importance-performance-analysis-quadrant-matrix">Importance-performance analysis matrix</a>, Koji</p>
