AI interviewers, prototype to pilot
Client
60 Decibels
Year
2023 to 2024
I built AI interviewers from first prototype through pilots with real respondents. Small pipelines pulled data and checked quality immediately so bad data did not move further down the chain.
I compared models on our own data, not only on public benchmarks. I also set quality checks on the data and ML steps, and designed annotation rules so labels stayed consistent across annotators.
Privacy and storage mattered. The team sat across countries and time zones, so I kept tasks clear to avoid double work and dropped threads.
Scope of Work
How cases are written
Problem, process, result. Short enough to scan, detailed enough to check.
Process and interface
Flows and screens that match how the system actually runs.
Notes under the work
Why we chose a metric, what shipped, what we would change next.
Different frame sizes
Dashboards, product UI, or site layout — use the ratio that fits.
Wide frames
Good for product surfaces and analytics views.
Standard frames
Useful for detail shots and single UI moments.
Two images
Before/after or two states side by side.
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