{"schema_version":"onlylabs.public_signal.v1","title":"Microsoft Repo: microsoft/amplifier-app-simulated-user-research","description":"Microsoft repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/2716baea-bcf5-49ff-9144-72b7f2161805","json_url":"https://onlylabs.fyi/signals/2716baea-bcf5-49ff-9144-72b7f2161805/signal.json","generated_at":"2026-07-26T18:51:24.258Z","evidence_latest_fetched_at":"2026-07-25T07:01:47.532963+00:00","signal_first_seen_at":"2026-07-25T07:00:40.420548+00:00","org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/microsoft","dossier_json_url":"https://onlylabs.fyi/labs/microsoft/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/2716baea-bcf5-49ff-9144-72b7f2161805","signal_json":"https://onlylabs.fyi/signals/2716baea-bcf5-49ff-9144-72b7f2161805/signal.json","source":"https://github.com/microsoft/amplifier-app-simulated-user-research","lab_dossier":"https://onlylabs.fyi/labs/microsoft","lab_dossier_json":"https://onlylabs.fyi/labs/microsoft/dossier.json","analysis":"https://onlylabs.fyi/analysis/microsoft","analysis_json":"https://onlylabs.fyi/analysis/microsoft/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/microsoft/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Microsoft published microsoft/amplifier-app-simulated-user-research (Python). 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You point it at a running web app; it seeds realistic data, walks every screen in a real browser, runs parallel design reviews, puts N scripted personas through genuine first-run sessions, and synthesizes an implementation-ready findings spec — with evidence tiers (OBSERVED findings carry repro steps; SIMULATED persona judgment is labeled as such), a human approve/revise gate, and a triage step that produces a measured precision number. One LLM + one real browser + your real app: observed findings are reproducible facts, persona verdicts are labeled simulation. It's the audit round you run **before** spending real user-research participants — not a replacement for them. First proven against a real product (2026-07-22): one afternoon found 3 HIGH-severity bugs, a privacy leak, and consent-copy overclaims. 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