MVP launch
Get your MVP, the smallest version of your product, live quickly. We scope it, design and develop it, put it in front of users and iterate.
Speed to market matters, but a rushed MVP nobody can use is a slower way to fail. We help you define the smallest version of your product that does its job, design and develop it, then get it live with real users. What they do with it shapes what gets built next.
- You have an idea and need to know whether it holds before committing a year to it
- You have a lot of features in your head, but don't know yet what to build first
- You need something real in front of users or investors within a quarter
- You would rather cut scope than cut quality
- A first version with a clear scope
- Your MVP live
- Numbers on how it is used
- A plan for the next round
AI does much of the design and code on the first version, so you reach users sooner; what goes in and what stays out, we decide with you.
Scope
We agree what the MVP has to prove, then cut everything that does not serve that. This is the step that decides whether the rest works.
- What we do
- Decide with you what the MVP has to prove and cut the rest.
- How AI helps us
- Maps comparable products and drafts a first list of what could go in.
- What we do
- Design how it works and choose with you what goes in.
- How AI helps us
- Makes the repetitive screens and variants to choose from, in a fraction of the time.
- What we do
- Review every line and keep the code sound for your team to build on.
- How AI helps us
- Writes much of the code, so a working version stands in days.
Test
Before launch real users try it while we watch, so the biggest problems are gone before anyone depends on it.
- What we do
- Watch users try it, ask why and decide what changes.
- How AI helps us
- Transcribes the sessions and tags where users get stuck.
Launch and learn
Into the hands of real users, instrumented so you can see what they do. We read the results with you and decide: double down, adjust or stop.
- What we do
- Weigh with you what the results mean for what you build next.
- How AI helps us
- Sorts usage data and feedback into patterns in hours.
- It depends on what it has to prove, but we have developed MVPs in under a month before.
- The least product that can answer your riskiest assumption. That is usually far less than teams expect, and cutting it is the hardest part of the work.
- Then you may want to validate your MVP with a design sprint first. In four days you test a prototype with real users, so your budget goes to what they turn out to need, not to a guess.
- Then it did its job, at a fraction of the cost of finding out later. We would rather tell you that in month two than month twelve.
- Both, in one team, so nothing gets lost in a handover. If you have developers of your own, we design and specify and they build.
Is your question not here?Jasper is happy to answer it.