KRATVYA / INDUSTRY 10
Test the idea. Build the next right thing.
New ventures work with uncertainty, limited time and finite runway.
Talk through your Startups & new ventures project
10 / 12
TEST / LEARN / SCALE
01IDEA
02TEST
03LEARN
04BUILD
NEXT
PROOF
MAKE THE ASSUMPTION VISIBLEPROOF
INDUSTRY CONTEXT / HUMAN NEED / DIGITAL RESPONSE10 / THE LEARNING RELEASE
01 / FIND THE NEXT PROOF POINTBuild less by
Build less by
learning sooner.
We partner with founders and product teams to turn an opportunity into a testable digital experience. Discovery, MVP scope, UX, engineering and cloud choices are connected to the evidence the team needs next, so early investment supports learning and leaves a sensible path for future growth.
New ventures work with uncertainty, limited time and finite runway. Teams need to learn whether a problem matters, which audience feels it most and what first product can test the idea without building a large system too early.
THE ASSUMPTIONS TO TEST01Is this a real problem? 02Who feels it most? 03What is the smallest useful solution? PROBLEM → EVIDENCE → PRODUCT BET
03 / A RELEASE SHOULD ANSWER A QUESTIONBuild the smallest
Build the smallest
coherent journey.
Engineering and business teams|Build a maintainable first release with clear ownership, useful instrumentation and room to adapt.
- Align the team on the audience, problem, assumptions and decision the next release must support.
- Compare prototype, concierge and software options before committing to a build.
- Build the smallest coherent product journey with essential security and measurement.
- Review customer evidence after release and set the next investment based on what was learned.
QUESTIONS / ANSWERSGood to
Good to
know.
How quickly can you build an MVP? +
Timing depends on scope, integrations, content and decisions that need validation. We first define the smallest useful outcome and provide a realistic delivery plan.
Can you help us validate before building? +
Yes. We can use research, journey mapping, prototypes or a focused landing experience to test assumptions before a larger engineering commitment.
Will the MVP be able to scale? +
We aim for a maintainable foundation suited to the current stage, with clear areas for future change. Scale requirements are based on evidence and expected use rather than speculative complexity.