Know which features to build next
Give Jean your feature list. Digital twins rank it by forced trade-offs in minutes, and AI interviews with real customers tell you why by morning.
Trade-off score: share who picked the feature as most wanted minus share who picked it as least wanted, across sets of four.
Twins and interviews agreed on the top three. Interviews moved Workload view up two places.
Run it with
Rankings built on trade-offs
A rating survey lets people call every feature important. Jean asks people to pick most and least wanted from small sets, so the ranking shows what they would give up.
Screen the long list in minutes
Run thirty candidate features past a thousand digital twins before lunch. Drop the bottom half before you spend a dollar on fieldwork.
The reason behind each rank
AI interviews ask real customers about the top features in their own words. You get the job each feature does for them and the quotes to bring to planning.
How you run it
- 1Minutes
Screen
A thousand digital twins answer first, so the weak options drop out.
- 2Overnight
Interview
The AI interviewer talks to real people and follows up on what they say.
- 3By morning
Decide
The number, the reasons behind it and the quotes that carry it.
Questions
How does Jean rank features?
People see small sets of features and pick the one they want most and the one they want least. Repeat that across sets and you get a score for each feature, the same logic as MaxDiff. Jean then interviews real customers about the top and bottom of the list.
Can digital twins replace a MaxDiff or Kano survey?
Use twins to cut a long list down fast and cheap. For the decision itself, confirm the shortlist with real people. Jean runs both in one study: twins in minutes, AI interviews overnight.
How many features can I test at once?
Up to about thirty works well. Twins handle the long list; the real interviews focus on the top eight to ten so each person can explain their picks.
Can I test with my own customers?
Yes. Send the interview link to your own users by email or in your app. Twins can be built to match the same customer profile.