Proof of concept
We turn your idea into a clickable proof of concept and put it in front of real users before anything gets built, in as little as four days.
An idea is cheapest to change before it is built. We make it clickable, nearly indistinguishable from the final product, so people react to the real thing and not to a description. Then real users try it, and you see where it holds and where it doesn't. A big question that needs a fast answer starts with a four-day design sprint; where the answer needs more, we add a round of prototyping and testing. You end up knowing whether to build, change or drop the idea, with far less at stake than after a build.
- You believe in your idea, but nothing exists yet that a user could try
- Your team keeps going round on the same decision
- You want to know whether users want it, and would pay for it, before you invest
- A clickable prototype
- Test results from real users
- A decision on how to go on
AI makes the prototype in a fraction of the time and clusters the test feedback in hours, so users can try more versions; which one goes ahead, we decide with you.
Ask
We talk with a few of the people it is meant for, to hear whether the problem is real, before anyone designs a thing.
- What we do
- Talk to the people it is for and ask whether they need it.
- How AI helps us
- Gathers what is known about the market and the idea before the first conversation.
Pick
We find with you the assumption the idea stands or falls on, such as whether people would switch from what they use now, with the right people in the room, a decision-maker above all. When it has to be fast, in a four-day design sprint with two of our designers alongside your team.
- What we do
- Pick the riskiest assumption, so the test answers what matters.
- How AI helps us
- Lays out what is known, so the time goes to the choices.
Make
A clickable prototype, nearly indistinguishable from the final product, so people react to the real thing.
- What we do
- Design what users see and choose which versions are worth testing.
- How AI helps us
- Makes the clickable prototype in a fraction of the time.
Test and decide
Real users try it while we watch and ask why. Then you see what held and what did not, and decide whether to build, change it or stop.
- What we do
- Watch real users try it, then decide with you: build, change it or stop.
- How AI helps us
- Transcribes the sessions and clusters the feedback in hours.
- One your team could go round on for months and that users can help answer, such as which direction a new product should take, whether one feature works or whether people would pay for it.
- A proof of concept tests whether the idea works before anything is built. An MVP is a first real version that goes live.
- It is made to learn from, not to ship as it stands. Often a few days of work take it a long way toward a version you can ship, and your developers start from something users have already tested.
- No. A rough idea or a single feature is enough. Working out what needs proving is part of the work.
- Then you found out in days what would otherwise take months of building. And the tests usually show where it should go instead: at this stage changing course is still quick, easy and cheap.
Is your question not here?Jasper is happy to answer it.