Check each widget against two criteria
Every widget is checked for whether it drives a real decision and whether it is actually checked regularly — a widget failing both is a strong cut candidate.
Free MVP dashboard tool
Review an existing dashboard's widgets against real usage and decisions, and get a clear cut list for the metrics that are just noise.
Your entries remain in this browser session and are not sent to MVPHub.
Your inputs
Enter one widget per line as Widget | drives a decision (yes/no) | checked regularly (yes/no/rarely). List every widget currently on the dashboard.
Your calculated result
Planning score
Every widget is checked for whether it drives a real decision and whether it is actually checked regularly — a widget failing both is a strong cut candidate.
Widgets driving decisions and checked regularly are kept; those failing one criterion are flagged for review; those failing both are recommended for removal.
A simplification score shows what share of the dashboard is decision-driving and actively used versus low-value clutter.
Mark it as driving a decision even if checked rarely — an emergency-only metric (like an uptime alert) can still be worth keeping despite low regular usage.
Flag it for a conversation rather than silently removing it — the tool surfaces the data, but the final call on political/stakeholder factors is yours.
Every quarter, or whenever the dashboard starts to feel cluttered — usage patterns shift as the product and team mature.
DashboardSeed builds a new dashboard from decisions; DashboardTrim reviews an existing, already-built dashboard and identifies what to remove.
| Capability | MVPHub | Never revisiting an existing dashboard | A generic UX audit of the whole product |
|---|---|---|---|
| Checks decision-driving value + actual usage per widget | ✓ | × | — |
| Produces a clear keep/review/cut recommendation | ✓ | × | — |
| Covers the entire product, not just one dashboard | × | × | ✓ |
| Instant, no audit engagement required | ✓ | ✓ | × |
MVPHub gives a fast, targeted trim recommendation for one dashboard from data you already have. A full product UX audit covers more ground but requires a dedicated engagement.