Research synthesis
Interviews, analytics, support tickets, and competitor scans digested into a sharp problem framing and sprint brief.
A fixed-scope design sprint for scaling B2B teams. Senior designers and AI-augmented workflows take one product question from brief to a clickable, validated prototype — in weeks, not months.
A design sprint is a short, fixed-scope engagement that moves one product decision from brief to a clickable, testable prototype — so you commit engineering effort to a direction that already survived contact with users.
In our AI-augmented sprint, AI widens exploration and speeds up synthesis. Senior designers make every call.
Interviews, analytics, support tickets, and competitor scans digested into a sharp problem framing and sprint brief.
Three to five distinct design directions — flows, structure, and concept — instead of the first idea that fits.
The strongest direction built into a realistic, high-fidelity prototype your users and stakeholders can actually click.
Feedback from real users, a documented decision, and a dev-ready starting point for the build.
A fixed rhythm, visible work, and a decision owner on your side — following our decision-led design process. From kickoff to a tested prototype in two to four weeks, depending on scope.
We align on the decision that matters, digest your research and product context with AI-assisted synthesis, and lock the sprint brief.
Senior designers use generative tools to widen the field, then reject weak directions and sharpen the strongest ones.
The leading direction becomes a clickable, high-fidelity prototype with key states and realistic interface content.
We test with users and stakeholders, capture what we learned, and hand you a documented decision with clear next steps.
The classic five-day sprint formula assumed production is slow, so it stayed low-fidelity. AI removes that constraint — and changes the math.
| Criteria | Ailume AI-augmented sprint | Traditional design sprint |
|---|---|---|
| Directions explored | 3–5 in parallel | 1–2 |
| Brief to first concepts | Week 1 | Week 2+ |
| Prototype fidelity | High-fidelity, realistic content | Low-fi wireframes |
| Research synthesis | Hours with AI, reviewed by designers | Days of manual synthesis |
| Cost per iteration | ~30% lower | Baseline |
| Who makes the decisions | Senior designers — always | Senior designers |
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EdTechWeb platformUX/UIRetention design
A sprint fits any moment where the roadmap needs direction
before it needs production
A new product or feature needs a shape before engineering can scope it
A core flow underperforms and nobody agrees on why
A redesign feels risky without proof that the new direction works
Stakeholders are split between directions and the debate is stalling delivery
You need something clickable for user tests, sales, or a board meeting
Validation keeps happening after the build instead of before it
Brief to first concepts
8 daysDirections explored per sprint
3–5Cost per iteration
-30%Two to four weeks — ten to twenty working days from kickoff to a tested prototype, depending on scope. Framing and research synthesis open the sprint, exploration and prototyping take the middle, validation and the decision close it. Every sprint ends with a documented decision.
Same intent — validate before you build — updated mechanics. The classic format assumed production is slow, so it stayed low-fidelity. AI-augmented workflows let us explore more directions in parallel and reach realistic, high-fidelity prototypes within the sprint, without stretching the timeline.
A sprint is fixed scope and fixed price, quoted after a short scoping call. Because AI removes most production drag, an AI-augmented sprint typically lands around 30% below a comparable traditional agency engagement — here's the math behind AI-augmented product design cost.
Three things: a decision owner who can confirm direction, access to product context such as research, analytics, and roadmap, and fast, specific feedback at the checkpoints. Total involvement is a few hours across the sprint, not a blocked calendar.
You leave with a dev-ready starting point, so your team can build immediately. If you need ongoing capacity, the same designers can continue as an embedded design team — or turn the validated direction into a design system as the product scales.
Yes. The Figma files, the clickable prototype, the research synthesis, and the decision document are yours in full — whether you continue with us or build with your own team.
Yes — it's one of the most common use cases. We sprint on underperforming flows, risky redesigns, and new features inside live products, working within your existing design system and constraints.
Bring us the decision your roadmap is stuck on. We'll scope the sprint in one short call — and tell you honestly if a sprint is the wrong tool for it.
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