Beyond 'Gut Feel' Prioritization
Many teams prioritize based on: customer requests they hear most often, features that are easy to build, or founder preferences.
Better approach: Build a prioritization matrix that weighs market signal, strategic importance, and effort—then decide based on data.
The Prioritization Matrix
Plot features on two axes: (1) Market Impact (test with simulated surveys), (2) Implementation Effort
Green zone (high impact, low effort): Do these first. Quick wins that move the needle.
Yellow zone (high impact, high effort): Strategic bets that may define your product.
Blue zone (low impact, low effort): Nice-to-haves if you have bandwidth.
Red zone (low impact, high effort): Skip these. Not worth the effort.
Feeding Data Into the Matrix
Market impact comes from feature testing: Which features drive purchase intent or solve key pain points?
Layer in segment data: A feature might be high-impact for enterprise but low-impact for SMBs. Prioritize by your go-to-market focus.
Effort comes from your engineering team. Be realistic—better to deliver less faster than promise everything.
Communicating Your Roadmap
Share the matrix with customers and stakeholders. Show the data behind your prioritization decisions.
Use this framework to have better conversations: 'Market research showed that Feature X is high-impact but we're prioritizing Feature Y because it's lower effort.'