Product discovery and prototyping before the full build

Turn an open product question into something you can test. Studio IDD runs focused discovery and prototyping sprints to explore the core journey, gather evidence from users and recommend the next step before a larger development commitment.

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IDEAS INTO EXPERIENCES

Clarity.
Character.
Craft.

STUDIO IDD / AI PROTOTYPING
Concept study · Prompt · Interactive prototype · Feedback

A GOOD PLACE TO START

A sprint for the question you need answered next

01

Will people understand the idea? Can they complete the proposed flow? Is a data connection technically feasible? We agree the main question first, then choose a clickable prototype or working proof that can help answer it.

01OUR EXPERTISE

Focused exploration with a useful decision at the end

A considered approach, from the first question to the details that make it work.

01

Problem and hypothesis

We identify the user, need and assumptions behind the idea. The test plan makes clear what evidence would support changing direction.

02

Prototype at the right fidelity

Sketches and clickable screens can test the interaction. A working proof may be needed when the uncertainty concerns data, integrations or AI outputs.

03

User feedback and iteration

Participants attempt the key tasks while we record behaviour and points of confusion. Findings guide revisions within the agreed sprint.

04

Recommendation and next scope

A short report separates what was observed from what remains uncertain. The recommendation may be to build, change the concept or investigate further.

02HOW WE WORK

How the sprint works

Each stage moves the work forward. You see the decisions, review the progress and know what comes next.

  1. 01

    Frame

    Agree the question and scope boundary.

  2. 02

    Make

    Create the prototype or proof needed for the test.

  3. 03

    Observe

    Run the agreed tests and review findings.

  4. 04

    Decide

    Document the evidence and proposed next step.

03BUILT TO HAND OVER

What you leave with

  • The scoped prototype, test findings and a recommendation for the next phase. AI tools can support exploration and implementation, but the prototype is assessed against the question it needs to answer.

Discovery sprint questions

Ema, Studio IDD manager

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Not by default. Its purpose is to learn; production engineering is a separate requirement.
Usability feedback can show whether people understand and use a flow. It does not, by itself, establish willingness to pay or market demand.
No. The service can explore broader digital product ideas. The existing URL is retained, while the page explains the actual scope.
The schedule is agreed after scope review, because recruitment, integrations and test rounds affect the timing. The sprint moves through framing the question, making the prototype or proof, observing the tests and deciding the next step. Each step ends with a clear output the team can review.
You need the product idea, the intended users and the decision you have to make before the sprint starts. Also share any existing material, such as research notes, screens, data samples or integration constraints, so the test plan reflects what is already known.
A working proof is more useful when the main uncertainty concerns data, integrations or AI outputs, rather than the layout or flow of an interaction. Clickable screens are suited to testing whether people understand a flow or can complete a task. The choice is made during framing, so the test answers the question that matters.