How would you architect a centralized research repository for heterogeneous data types?
Tests designing systems that unify unstructured UX artifacts into a queryable graph. Cover: ingestion with transcription, a metadata schema linking insights to evidence, and faceted cross-type search. Red flag: a flat file dump without structured tagging.
This tests whether you can architect a knowledge system that makes heterogeneous UX research discoverable and interconnected. A strong answer covers an ingestion pipeline with automated transcription and entity extraction, a unified metadata schema linking insights to raw evidence via shared taxonomies, and a faceted indexing layer enabling cross-referencing by participant, theme, or study. Red flag: describing a generic document store like SharePoint with folders but no structured relationships or search affordances across data types.
Read the original → nngroup.com
- #ux research
- #system design
- #information architecture
- #researchops
- #search
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