Synthetic Cohort Prototyping
What We Deliver
End-to-end synthetic cohort work: persona and cohort modelling, simulated walkthroughs, friction analysis, and a prioritised design brief, validated against real-user sessions.
Cohort & Persona Modelling
Edge-Case Stress Testing
Simulated Walkthroughs
Friction & Confusion Analysis
Flow Comparison Testing
Hypothesis Generation
Prioritised Design Brief
Real-User Validation Plan
Findings & Insight Report
Iteration Roadmap
Why Goldenflitch for Synthetic Cohort Prototyping
How We Do It
Our Process
How We Run Synthetic Cohorts
1
Cohort Modelling
We build synthetic cohorts grounded in your real user segments: their goals, contexts, and anxieties.
UI-UX Design
2
Scenario Design
We define the tasks and edge cases the cohort will run, including the ones real testers rarely reach.
UI-UX Design
3
Simulated Testing
We run the cohort through the prototype, capturing where it stalls, misreads, or abandons.
UI-UX Design
4
Friction Analysis
We separate signal from artefact, the failures that reflect genuine design problems from those that don’t.
UI-UX Design
5
Design Iteration
We fix the obvious failures fast, so the design that reaches real users is already past its weakest version.
UI-UX Design
6
Real-User Validation
We validate the sharpened design with moderated sessions: synthetic cohorts inform, people decide.
UI-UX Design
7
Insight & Roadmap
A findings report and prioritised iteration roadmap your team can act on immediately.
UI-UX Design
Why Goldenflitch for Synthetic Cohort Prototyping
We use AI to compress the mechanical part of research, and protect the part only real people can do.
Grounded in Real Segments
Synthetic cohorts modelled on your actual users, not generic personas.
Edge-Case Coverage
We test the scenarios real sessions rarely reach: cheaply, early.
Signal Over Artefact
We filter simulated noise from genuine design problems before acting on them.
Real Validation Always
Synthetic cohorts inform the brief; real users still make the call.
Faster Loops
The obvious failures die early, so engineering and testing time goes to what matters.
Outcome-Driven, Not Aesthetic-Led
We measure success by activation, task completion, and retention, not by how it looks in a portfolio shot.
Senior-Only Delivery
The names you meet in the pitch are the names on the work. No handoff to juniors.
AI in the Workflow, Not the Pitch
We use AI to compress mechanical work, the savings show up in your timeline, not the headline.
Arrive at Real Testing With a Better Design.
Let’s catch the obvious failures early, so your real users help you with the hard ones.
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©2026
Real User Testing Is Slow. The Wrong Design Is Slower.
Recruiting, scheduling, and running studies takes weeks, and you often learn the concept was flawed on day one. Synthetic cohorts let us catch the obvious failures early, so the real sessions test what actually matters.
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