Nudge one weight, watch your backlog reshuffle
Every roadmap meeting treats the ranked list as objective. Score 8 feature candidates, turn one weight dial from 1× to 1.5×, and watch feature #1 fall — the spreadsheet was making choices all along.
| #1 | Onboarding checklist | 100 | |
| #2 | In-app notifications | 76 | |
| #3 | Dark mode | 60 | |
| #4 | Bulk CSV export | 26 | |
| #5 | AI activity summaries | 23 | |
| #6 | Mobile offline mode | 18 | |
| #7 | Calendar sync | 15 | |
| #8 | Custom roles & permissions | 11 |
Score is indexed to the current #1 (=100). Arrows show movement vs the neutral-weights baseline. Click a row to re-score it yourself.
The weight dials turn the invisible act of picking weights into a visible lever — proof the ranked list was never as objective as the spreadsheet made it look.
What is RICE scoring?
RICE ranks feature ideas by Reach × Impact × Confidence ÷ Effort: how many people it touches, how much it moves them, how sure you are, and what it costs to build. It turns a prioritization argument into a number — which is exactly why the number deserves scrutiny.
If RICE is a formula, how can the ranking be biased?
Every input is a human judgment, and so is how much each factor counts. Weighting impact a little higher or effort a little lower is invisible in a spreadsheet but can swap #1 and #6 — the sim makes that one dial turn visible.
What is stakeholder gaming in prioritization?
It's when someone nudges a single input — usually confidence, because it's the softest — to push their pet feature up the list. The sim's sneaky-stakeholder mode lets you accept or reject exactly that override and watch what it does to the ranking.
This playable is part of the registry: its tool page
Next: see if the model even fits
Can You Actually Run This? shows the GPU memory bill for any open model line by line — the same X-ray habit, applied to hardware.