The Weighting Room
Nudge one weight and watch your 'objective' backlog reshuffle.
the volatility slider turns the invisible act of picking weights into a visible lever, proving the ranked list was never as objective as the spreadsheet made it look
What goes in, what comes out
Learner scores 8 seeded feature candidates on Reach/Impact/Confidence/Effort (or drags them onto an impact-effort quadrant); the engine computes a live ranked backlog. A second pass lets the learner nudge any single weight up or down, and the full ranking re-sorts in real time so they watch their 'objective' priority list reshuffle from one dial turn.
score or drag 8 feature cards; adjust weight sliders; optionally accept or reject a stakeholder's confidence override
a live-updating ranked backlog plus a ranking-volatility chart showing how many features moved position per 10% weight nudge
toggle RICE / ICE / impact-effort matrix; weight sliders per factor (0.5x-2x); optional 'sneaky stakeholder' mode injects a biased confidence score on one feature
free TOFU glossary embed on the RICE/ICE term page + Module 'Prompting for Product Sense' L1 demo lesson
Go deeper, elsewhere
Hand-picked public explainers and open tools that complement this one — always optional, never required, never graded.
Concepts click when you open the machinery.
Three labs are already live and free — the same hands-on style this playground brings to its module.