The platform in question is a live AI career-coaching product. The brief for its Career Intelligence work was simple to state and hard to do: the dashboard should tell members what the platform has learned about them, not what they have completed.
Build the intelligence once
Onboarding, Career Fit, resume, LinkedIn and interview tools all read from and write to a single member profile. Pattern reading, career paths and strengths evidence are thin layers on that profile — so connecting a new tool costs a fraction of rebuilding.
Surface what already exists
Explanations for every score, interview practice scores and milestone dates were already generated but never displayed. Showing them cost hours, not weeks.
Keep the language honest
'Your responses suggest' and 'based on what you told us' — never psychological claims. It positions the product correctly for consumers and university career professionals.
Prove it
Two test profiles answering differently, side by side, with different strengths, paths and insights that quote each profile's own answers. If they look the same, the stage is not done.
Measured activation and time-to-value results will be published here once verified.
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