AI Use-Case Priority Score (value × feasibility matrix)

How it works

Value = average of business value and frequency. Feasibility = average of data readiness, technical feasibility, (6 − risk) and (6 − effort), so high risk and high effort lower it. Priority = value × feasibility (1–25). Quadrants split at 3: quick wins (high value, high feasibility), big bets (high value, low feasibility), nice-to-haves (low value, high feasibility) and ideas to avoid for now. All factors have equal weight; score every idea the same way and compare them side by side.

⚠ Estimates for information only — not financial advice.

FAQ

Who should do the scoring?

Score together: someone who owns the business process, someone who knows the data and someone technical. Disagreements usually reveal the real risks.

Should I change the weights?

If one factor matters much more for you (for example risk in a regulated industry), treat any idea with a high risk rating as a big bet regardless of its score.

Checked 10 Nov 2026. Our own transparent scoring based on the widely used value–feasibility (impact–effort) prioritisation matrix, with equal weights and risk and effort counted against feasibility.