AI-Native Product Strategy

From problem to a validated product.

Twistag frames the problem, finds where AI changes the product, and puts a clickable prototype in front of real users within the first sprint, so the build starts with evidence.

A white architectural model under a single light
Why start with strategy

Most products miss because the wrong thing was built well. A prototype and twelve users settle what a month of meetings cannot.

  • 01Ideas debated, never tested. Opinions decide the roadmap.
  • 02AI added as a feature, with no job to do. A chat box where a workflow was needed.
  • 03A roadmap with no evidence behind it. Budget committed before users have seen anything.
What it delivers

A product worth building, and the case for it.

Discovery and prototyping are small and fixed in time. The full build starts once real users have backed the idea.

  1. 01Problem framingThe job the product does, for whom, and what changes.
  2. 02User researchInterviews and observation with the people who will use it.
  3. 03AI opportunityWhere models, retrieval or agents change the product.
  4. 04Clickable prototypeReal screens in front of users within the first sprint.
  5. 05ValidationTasks, measures and decisions from user testing.
  6. 06Product case and roadmapScope, milestones, team and budget for the build.
ExamplePrototype v2

What users did with the first screens

  1. 11 of 12 found upload without help
  2. 7 of 12 hesitated to approve without the source
  3. 12 of 12 wanted the list sorted by due date
12 users, 3 segmentsChanges tested again in v3
How it runs

Two to four weeks, set by the scope of the product.

Each week ends with something users can try. The final readout is a decision: build, change or stop.

Product scope
2 weeks
Problem framingGoals, users, constraints
ResearchInterviews and observation
PrototypeClickable, on real screens
Testing with usersTasks and measures
Product caseBuild, change or stop
A product ownerMakes the calls during discovery.
Access to real usersCustomers or internal teams.
A decision maker at the readoutTo approve the build.
After discovery

Build it, extend it or take it in-house.

Related work

Products that started with discovery.

All case studies
Questions

About product strategy.

How long does discovery take?

Two to four weeks, fixed in time and scope. A clickable prototype reaches users within the first sprint.

What if users do not back the idea?

Then the readout says so. Stopping or changing direction after three weeks costs far less than after a full build.

Does every product need AI?

No. Discovery checks where AI changes the product and where a simpler solution works better.

Who takes part from the company?

A product owner, a few hours from subject experts, and access to real users.

What does it cost?

Cost follows scope: the number of flows, the research needed and the users to recruit. A proposal follows within a week of the first call.

Who owns what is built?

The client owns everything: source code, design files, infrastructure as code, prompts and documentation, handed over in full.
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