Value vs Effort Matrix
Score each feature for value and effort. Watch it land in the right quadrant in real time, then export a ranked plan. Your board is saved in your browser as you go.
The four quadrants
Quick Wins — high value, low effort
Do these first. They build momentum and deliver visible value fast, which buys you room to tackle bigger work.
Big Bets — high value, high effort
Worth doing, but plan carefully. Scope them, set milestones, and de-risk with discovery before you commit a quarter to one.
Fill-Ins — low value, low effort
Pull these in when you have spare capacity between bigger items. Cheap to ship, but never let them crowd out Quick Wins.
Money Pits — low value, high effort
Deprioritize or drop. Revisit only if new information meaningfully raises the value or lowers the effort estimate.
Frequently asked questions
What is a value vs effort matrix?
A value vs effort matrix is a two-by-two grid that ranks features by the value they deliver against the effort to build them. Plotting each feature splits your backlog into four quadrants: Quick Wins (high value, low effort), Big Bets (high value, high effort), Fill-Ins (low value, low effort), and Money Pits (low value, high effort). It is the fastest way to build prioritization consensus in a meeting.
How does this tool decide which quadrant a feature lands in?
You score each feature for value and effort on a 1-to-10 scale using the sliders. The tool places the point on the grid in real time and assigns a quadrant by comparing each score to the midpoint of the scale. High value with low effort is a Quick Win; high value with high effort is a Big Bet; low value with low effort is a Fill-In; low value with high effort is a Money Pit to avoid.
What should I do with each quadrant?
Start with Quick Wins to build momentum and ship value fast. Schedule Big Bets deliberately with proper scoping and milestones. Pull in Fill-Ins only when you have spare capacity. Deprioritize or drop Money Pits unless something changes the value or effort estimate. The matrix is a starting point for sequencing, not a final roadmap.
When should I use a value vs effort matrix instead of RICE or ICE?
Use the value vs effort matrix for fast, visual alignment on a small set of features (15-20) when you need a group decision in one session. Use RICE or ICE when you want a continuous numeric score to rank a long backlog precisely. Many teams run the matrix first to cluster candidates, then apply RICE to break ties inside the Quick Wins and Big Bets quadrants.
Is my data private?
Yes. Everything runs in your browser. Your features and scores are saved to local storage on your device and never sent to a server. You can export the result to CSV or Markdown at any time.
Turn priorities into a real roadmap
Planet Roadmap connects every prioritized feature to the customer votes and feedback behind it — so your value and effort estimates stay grounded in what users actually asked for.
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