Design the first useful experience
Understand the user’s task and what makes it difficult. Prototype the important steps with realistic content before adding more features.
Product & innovation teams / CanadaTurn a product idea
Turn a product idea
into something people can use.
We help product teams understand the user, design the experience, and build a first release. Test the parts that matter before investing in a larger rollout.
Projects for your teamWhat we can
What we can
help you do.
Start with a task your team needs to make easier. Build the right tools and check the result together.
Test whether an AI feature helps
Identify what AI should do and what happens if it is wrong. Agree test examples, review steps, and the results needed before release.
Carry the design into working software
Plan the interface, data, integrations, and release together. Include incomplete inputs, error messages, and recovery in the experience.
A practical first engagement
Plan and prototype the first release
Choose a customer task or product idea. Research the need, prototype the experience, check technical feasibility, and agree the scope of the first working release.
- 01A user journey and product hypothesis
- 02A tested prototype and technical feasibility record
- 03A prioritized release brief with acceptance criteria
Define success before deliveryHow we measure
How we measure
success.
Agree these measures before a new project begins and use them to review progress.
- Completion of the intended user task
- Usability issues and correction effort
- Evidence supporting the product hypothesis
A brief we can work withTell us about
Tell us about
your project.
Share a general description of the work. Scope, timing, access, and commercial terms are agreed together.
- The user, problem, and product stage
- The critical journey and existing research
- The data and systems the feature depends on
- The decision the first release should inform
Common questions
Can we start with a prototype before a full build?
Yes. A discovery engagement can produce a prototype, feasibility assessment, and release brief. Agree which parts are illustrative and which are working integrations so the team can make a sound investment decision.
How do you avoid adding AI for its own sake?
Start with the user task and compare an AI-assisted approach with a simpler workflow. Evaluate correctness, user effort, failure handling, and operating cost before deciding how much intelligence the product needs.
Explore related workRelated services
Related services
and industries.
Discuss a project
Discuss your projectLet’s plan your first improvement.
Tell us what takes too much time, which tools you use, and what a better result would look like.