# AI-Native Product Strategy

> 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…

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.

Discovery

2–4 weeks Fixed in time and scope

Prototype

In days In front of real users in the first sprint

Output

A product case Scope, roadmap and budget backed by users

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

- 01 Ideas debated, never tested. Opinions decide the roadmap.

- 02 AI added as a feature, with no job to do. A chat box where a workflow was needed.

- 03 A roadmap with no evidence behind it. Budget committed before users have seen anything.

## 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.

- 01 Problem framing The job the product does, for whom, and what changes.

- 02 User research Interviews and observation with the people who will use it.

- 03 AI opportunity Where models, retrieval or agents change the product.

- 04 Clickable prototype Real screens in front of users within the first sprint.

- 05 Validation Tasks, measures and decisions from user testing.

- 06 Product case and roadmap Scope, milestones, team and budget for the build.

### 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 segments Changes tested again in v3

## 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.

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

The same team takes the validated scope from MVP to platform.

When the product is one of several AI opportunities, the sprint ranks them all.

Research, prototype, product case and roadmap belong to the company.

## Products that started with discovery.

## About product strategy.

How long does discovery take?

What if users do not back the idea?

Does every product need AI?

Who takes part from the company?

What does it cost?

Who owns what is built?

## Other Product Engineering services.

## Let’s talk.

Tell us about the company and what it needs. A senior lead takes it from there.

A senior lead replies within one working day.

---

Source: https://twistag.com/product-engineering/ai-native-product-strategy