Product Experimentation Builder
Accelerate your product discovery with AI
Integrate AI into your product cycle: explore ideas, prototype in minutes and validate your hypotheses before developing.
The need
What you tell us
« I want my product teams to leverage AI upstream: explore ideas, prototype in minutes and validate before developing. »
- « I want to prototype before developing »
- « I want to test my product ideas fast »
- « I want AI in my discovery »
- « I want to validate without mobilizing real users »
Our response
- AI-augmented discovery
- Rapid prototyping: a prototype in minutes
- Validation: synthetic users and smoke test
Method
Our method in 5 steps
Our stance
Explore before executing
AI greatly reduces the cost of exploration: you can test an idea before building it.
- Prototype
- Synthetic
- Smoke test
Step 01 : Diagnosis
Analysis of your teams' product and AI maturity and identification of your first use cases in the discovery phase.
- Teams' product and AI maturity
- Targeted discovery use cases
- Current product process mapped
- Real topic from the chosen backlog
Step 02 : Explore
Running AI-augmented discovery phases and structuring a hypothesis map to be tested.
- AI-augmented discovery
- Mapping of hypotheses
- AI-assisted friction analysis
- Structured ideation in workshop
Step 03 : Prototype
Generation of functional prototypes in minutes (via Lovable) and rapid iteration on your product cases.
- Prototype in a few minutes with Lovable
- Guided rapid iteration
- Variants compared
- Exploration cost measured
Step 04 : Submit
Evaluation of your hypotheses via synthetic users and deployment of smoke tests targeted at a fraction (10%) of your traffic.
- Synthetic users protocol
- Smoke test on 10% of traffic
- Reading demand signals
- Simulation limits set
Step 05 : Anchoring
Establishing a sustainable AI discovery framework and defining go/no-go arbitration criteria to secure your product choices.
- AI discovery framework
- Go / no-go criteria
- Prototyping kit delivered
- Integration into the product cycle
Deliverables
What you get
Training material
On your real product cases.
AI prototyping kit
Reusable templates and prompts.
Synthetic users method
Quick validation protocol.
AI discovery framework
Steps, safeguards, go/no-go criteria.
Who is it for?
Who is this offer for?
Tools used
- Lovable
- Claude
- Figma
- v0
- Maze
- Synthetic Users
- Product, discovery or design teams
- Context: integrating AI upstream of the build
- Sponsor: CPO, Head of Product, Digital Director
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