Engineering Blueprint
LLM-as-a-judge to benchmark software platform experience
Benchmark software platform UX across multiple apps using dual LLM-as-judge and synthetic-user scoring passes that validate each other, generating quantified performance comparisons and interactive da
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What does this do
Evaluate software platform performance and benchmark UI/UX experiences across multiple apps and websites in a defensible, quantified way. The framework uses two complementary scoring passes — a calibrated LLM-as-judge pass grounded in a behavioral rubric, and synthetic users built from real-world sentiment data — to pressure-test each other and surface gaps neither approach would catch alone.
How It Works
Run two complementary scoring passes that pressure-test each other: (1) LLM-as-Judge pass: Define 5 personas and 4 behavioral rubric dimensions, build an evidence corpus from web fetches and third-party commentary, run Claude to score 100 cells (5 platforms × 5 personas × 4 dimensions) with rationale and cited evidence. (2) Synthetic-User Validation pass: Construct synthetic users grounded in real-world sentiment data (Trustpilot, Reddit, vendor reviews), score the same 100 cells with persona-specific friction biases and cell-specific adjustments. (3) Compare: Calculate Pearson r, MAE, mean signed delta, and per-cell divergences. (4) Deliver: Generate an editorial-style HTML dashboard with leaderboard, heatmap, per-platform deep-dives, validation metrics, and a markdown report companion.
About This Blueprint
- Industry
- Computer Software