Feature prioritization between sprints
When the backlog has five plausible next features and no clear winner, run a trade-off test against a panel grounded in your actual users to see which one a panel reaches for — and how strongly.
Five plausible features. One sprint. A directional tiebreaker.
Most feature-prioritization debates aren't between one obviously right answer and four obviously wrong ones — they're between several plausible options, each defensible, with the team genuinely split.
thepanelist's trade-off test is built for exactly that moment: describe the candidate features, generate a panel grounded in your actual user base, and rank the options directly — with a measure of how strongly the panel actually agreed on the winner, not just which one scored highest.
Without a tiebreaker
Prioritization debates without outside input tend to resolve toward whoever argues loudest, or toward the feature that's easiest to build rather than the one users would value most.
A decision made that way can feel resolved internally while still being disconnected from what the actual user base would have picked.
With thepanelist
Describe each candidate feature briefly, generate a panel grounded in your user base, and run a trade-off test that ranks them directly against each other.
The result includes how much the panel actually agreed on the top choice — a landslide and a narrow split both produce a "winner," but they mean different things for how confidently you should act on it.
A clear top-ranked feature and a panel that genuinely agrees with each other are two different claims — this is the number that tells you which one you actually got.
How to run a useful prioritization test
Describe each candidate feature the way you'd describe it to a real user, not the way you'd describe it internally — "lets you export your data as CSV" reads more clearly to a panel than an internal ticket title does.
Ground the panel in your actual user base as specifically as you can, not a generic description of your market — the ranking is only as relevant as how closely the panel resembles the people who'll actually use the feature.
Read the agreement score alongside the ranking, not instead of it. A narrow-margin winner with low panel agreement is a genuinely different signal than a landslide with high agreement, even if both technically produce the same top pick.
More Decision Playbooks
AI focus group for SaaS pricing
Run a directional pricing gut-check against a synthetic panel grounded in your own product material before you commit to a number — or run three pricing pages against each other and see which one a panel actually reaches for.
Test a landing page before launch
Paste in your landing page copy and get a directional read on clarity, confusion points, and whether the value proposition actually lands — before you drive real traffic to it.
Customer research for indie founders
You don't have a research budget, a research team, or an existing audience — you have a product idea and a laptop. thepanelist is built for exactly that starting point.