Building fast is easy now.
Building the right thing still isn't.
We work with product teams and product studios to make sure the commercial case works before the build begins.
Our Path: Product Innovation
Product teams and product design studios face the same problem from different angles. They're building before they've understood what the customer will be willing to pay for.
Product teams in large companies are adding AI to their products. Design and development studios are building hardware that integrates with it. Both face expensive builds where willingness to pay hasn't been tested against real market conditions.
Our framework provides the commercial rigour that turns a product brief into something worth building.
How we work with product teams
Validation
Workshops
Sprints
AI has made building faster than ever. It hasn't made validating what to build any easier. The pressure to ship is real. But who the customer is, whether they'll pay, and whether the problem justifies the cost, that still needs human judgment and evidence from real people. We help you get that.
Chat With UsHow we work with product design + development agencies
Sprints
Readiness
Training
Partnership
Your clients bring you the product brief, and you may run a discovery session. The commercial foundations behind these aren't always as solid as they look.
Chat With UsLearn at your own pace
Our five-stage framework methodology in your hands. Online courses and AI agents built around our framework, with templates, resources, and prompts that guide you through each stage. Supported by coaching, so you don't lose momentum or focus.
Meet Juno, Your Market Validation Agent
Currently in Private Beta, Juno has been designed to use multiple AI agents to guide you through key stages of your customer discovery journey, the first part of our Five-Part Framework.
With Juno, you will define your hypothesis and ICP, complete a market analysis and design interview questions. You will analyse your interview transcripts and receive a report on signal strength, hypothesis validation, a go/no-go recommendation and commercial insights for your product roadmap, grant applications and pitch decks.
All you need to do is the interviews. Juno handles the rest.
Sign up to the beta →The Book
Make Products That Matter is a practical guide for entrepreneurs and product teams on how design thinking, lean startup, UX, and Agile fit together, bridging research, validation, and implementation into one coherent approach.
This gives you all the tools you need from idea to post-launch to test your concept with customers and users. The Lemonade Van is a case study that runs through the book, so you can see how the tools can be applied.
Learn more →Learn at your own pace
Our five-stage framework methodology in your hands. Online courses and AI agents built around our framework, with templates, resources, and prompts that guide you through each stage. Supported by coaching, so you don't lose momentum or focus.
Meet Juno, Your Market Validation Agent
Currently in Private Beta, Juno has been designed to use multiple AI agents to guide you through key stages of your customer discovery journey, the first part of our Five-Part Framework.
With Juno, you will define your hypothesis and ICP, complete a market analysis and design interview questions. You will analyse your interview transcripts and receive a report on signal strength, hypothesis validation, a go/no-go recommendation and commercial insights for your product roadmap, grant applications and pitch decks.
All you need to do is the interviews. Juno handles the rest.
Sign up to the beta →The Book
Make Products That Matter is a practical guide for entrepreneurs and product teams on how design thinking, lean startup, UX, and Agile fit together, bridging research, validation, and implementation into one coherent approach.
This gives you all the tools you need from idea to post-launch to test your concept with customers and users. The Lemonade Van is a case study that runs through the book, so you can see how the tools can be applied.
Learn more →
