“Distil Stack approached the workout timer with a clear focus on functionality and user experience. Their attention to the details of interval training and timing interactions helped shape an application designed to be practical and intuitive during real workouts.”
Innovation Sprints & Prototyping
Innovation Sprints & Prototyping
Time-boxed sprints that take a new product, feature or AI idea from question to clickable or working prototype, tested with real users before you commit a budget.
A custom engineering engagement
We scope this service around your workflow, existing systems and acceptance criteria. The work starts with the problem and its constraints, then a written scope and price. A packaged solution is a different buying route: choose it when its defined deliverables already fit the job.
01The problem
Where things usually stall
Short, focused sprints that test a new idea with a working prototype.
- 01
Ideas that never leave the workshop
Sticky notes and enthusiasm, then nothing happens.
- 02
Big bets on untested assumptions
A year-long build starts before anyone checks whether customers want it.
- 03
Slow internal approvals
By the time the business case is signed, the market has moved.
02Capabilities
What we deliver
- 01
Problem framing
A sharp question the sprint will answer, agreed with stakeholders on day one.
- 02
Rapid prototyping
Clickable designs or working code, depending on what the test needs.
- 03
AI feasibility spikes
Quick builds that show whether a model can do the job on your data.
- 04
User testing
Sessions with five to eight target users and a clear readout.
- 05
Technical feasibility
Integration and architecture checks for the path to production.
- 06
Go or no-go report
Findings, a recommendation and an estimate for the next step.
03Outcomes
What changes once it’s live
- 01
A tested assumption
A prototype built to answer a specific product or technical question.
- 02
A visible limitation
The boundary between demonstration code and production requirements is documented.
- 03
A justified next step
Evidence supports continuing, changing direction or stopping before a full build.
04Approach
How we deliver it
- 01
Name the uncertainty
Choose the assumption that could change the investment decision and agree what evidence would resolve it.
- 02
Design the smallest useful test
Select a prototype, experiment or technical spike that can answer the question without building the whole product.
- 03
Run it with real constraints
Use representative users, data or integrations and record what the test does and does not prove.
- 04
Decide what follows
Hand over findings, prototype limitations and a scoped recommendation for production work or further investigation.
05Case studies
Featured success stories
What can we realistically test in two weeks?
One core question: will users understand it, can the model do it, or does the integration work.
Who needs to be involved from our side?
A decision-maker for the kickoff and readout, plus a subject expert for a few hours a week.
What if the test fails?
You've saved the cost of the full build. We document what we learned and what we'd try instead.
How is the engagement priced?
We agree a fixed scope and price after reviewing the work, system dependencies and acceptance criteria. The pricing guide explains approved ranges for the engagement types it covers. A written proposal confirms what is included before a build starts.
How should the first delivery decision be made?
Choose the assumption that could change the investment decision and agree what evidence would resolve it. Select a prototype, experiment or technical spike that can answer the question without building the whole product.
What should the acceptance criteria cover?
A prototype built to answer a specific product or technical question. The boundary between demonstration code and production requirements is documented. Evidence supports continuing, changing direction or stopping before a full build.






