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PH1 core capbility
YEARS EXPERIENCE
9 to 10 years
TYPICAL CLIENT
VP Product, VP Marketing, Founders, Agencies
NECESSARY TIMELINE
2 to 3 months
BUDGET NECESSARY
Quoted individually
Our POV
AI teams often validate ideas in theory and learn the truth in production—after the cost is sunk. In the AI era, you need a way to measure ideas and improve experiences before build. PH1 uses prototyping and concept testing to validate impact assumptions, reveal failure points, and refine the concept until it’s both adoptable and measurable.
What We Do
We create lightweight AI experience prototypes—conversation flows, UI interactions, and realistic task scenarios—then concept-test them with target users. We evaluate whether users understand the value, can complete the task, and would rely on the capability. We surface blockers to adoption and trust, iterate the concept, and define measurable success criteria so teams can both build the right thing and prove it worked after launch.
What We Deliver
Tested AI prototype(s) (flows + task scenarios)
Evidence on value clarity, task success, and reliance intent
Failure points and adoption blockers to address before build
Refined concept direction and measurable success criteria
When This is Essential
You need to choose between multiple AI ideas with evidence
You want measurable success criteria before engineering commits
You’re worried about shipping something users won’t trust or adopt
You need faster learning without production risk
Combine With These Services
AI Performance Scorecard + Benchmarks — Uses a consistent yardstick to evaluate impact before and after launch.
AI UX Task Success Evals — Validates whether the concept actually improves task completion in real flows.
AI Trust & Confidence Review — Identifies where users hesitate so the concept earns reliance, not skepticism.
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Submissions