Design a system to measure technical content deflection
Tests causal attribution of content on tickets. Answers must unify identity, correlate topics with NLP, compute deflection as self-service resolutions over total intent, and validate outcomes.
Tests whether you can attribute ticket reduction to technical content rather than assuming correlation equals causation. A strong design unifies user identity across channels, maps consumed content to ticket topics with NLP classification, computes deflection as self-service resolutions over total support intent while avoiding double-counting, and validates success through resolution signals. Red flag: presenting raw page views or chatbot sessions as deflection without proving the customer actually found the answer.
Read the original → yourgpt.ai
- #system design
- #metrics
- #causal inference
- #deflection
- #content
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