ICE Score Calculator (Impact, Confidence, Ease)

Yes. This ICE score calculator is fully free, requires no login, and can be used for unlimited initiatives. You can score a single idea or manage a larger product backlog in batch mode, then export outputs for roadmap or experiment reviews without any paywall steps.

No server-side storage is used for your initiative data. Inputs are processed in your browser and autosaved only in your local browser storage so you can resume work. You can clear local data anytime with the Clear data action. We do not store your notes on CraftUp servers.

Chat tools are flexible, but they do not enforce consistent ICE scoring structure by default. This page gives controlled inputs, formula and mode toggles, ranking logic, CSV workflows, and stakeholder-friendly outputs in one place. That consistency helps teams compare priorities over time instead of debating formatting each cycle.

Yes. The outputs are designed for practical product planning, growth experiments prioritization, and backlog reviews in client or internal environments. Use notes to capture assumptions and quickly explain why ranks changed. Many teams export Markdown directly into tickets, docs, or stakeholder updates.

Use Multiply when you want high-confidence, high-ease opportunities to stand out quickly, especially for quick wins prioritization. Use Average when your team prefers smoother ranking and wants to reduce extreme swings from one low factor. Keep one formula per review cycle for clean comparisons.

Ease mode scores implementation ease directly from 1 to 10. Effort mode lets teams think in difficulty instead, where 10 means very hard. The calculator converts Effort into EaseNormalized using 11 minus Effort, so scoring remains consistent whichever input style your team prefers.

Yes. Use the CSV import option with the provided template headers. The tool accepts initiative names, scores, notes, mode, and formula fields, then recomputes ranking. If values are outside allowed ranges, inline validation highlights which rows need correction before final prioritization.

Treat confidence as evidence strength, not optimism. Low scores map to hypotheses or guesses, medium scores map to qualitative signals, and high scores map to measurable proof from experiments or historical data. This keeps the ICE scoring model grounded and prevents weakly supported ideas from dominating your backlog.

Yes. The share URL contains your batch rows and notes using client-side encoding and compression. Opening the link in a fresh browser reconstructs the same table context. Because data stays in the URL and browser, review notes before sharing externally if your backlog contains sensitive internal assumptions.

A weekly or biweekly cadence works well for most product teams. Rerun when confidence changes, effort estimates shift, or new evidence emerges. Frequent lightweight updates prevent stale priorities and help keep your product backlog aligned with current constraints, learning, and business goals.