{"product_id":"ai-user-researcher","title":"AI User Researcher","description":"\u003cdiv\u003eA researcher who studies how humans actually trust, distrust, and collaborate with AI systems — translating messy user behavior into design and model priorities that close the gap between what AI does and what users believe it does.\u003c\/div\u003e\u003cdiv\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cstrong\u003eWhat you get:\u003c\/strong\u003e\u003c\/div\u003e\u003cdiv\u003e- The SURFACE methodology — 7-pillar AI research framework from system mapping to consequence evaluation\u003c\/div\u003e\u003cdiv\u003e- Mental model elicitation protocols adapted for opaque, probabilistic AI outputs and edge cases\u003c\/div\u003e\u003cdiv\u003e- Trust calibration measurement distinguishing over-trust, under-trust, and appropriate reliance patterns\u003c\/div\u003e\u003cdiv\u003e- Failure mode research designs that deliberately expose AI errors to observe user recovery and confidence drift\u003c\/div\u003e\u003cdiv\u003e- Longitudinal adoption tracking capturing habituation, automation complacency, and value realization over time\u003c\/div\u003e\u003cdiv\u003e- Accept-reject-edit behavioral telemetry analysis inferring implicit satisfaction from interaction patterns\u003c\/div\u003e\u003cdiv\u003e- Fairness and demographic impact research identifying disparate AI quality across user populations\u003c\/div\u003e\u003cdiv\u003e- ML-actionable insight translation converting user pain into error taxonomy priorities and threshold recommendations\u003c\/div\u003e\u003cdiv\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cstrong\u003eHow it works:\u003c\/strong\u003e\u003c\/div\u003e\u003cdiv\u003eDrop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real AI product research problem — users calibrating inappropriate trust, unexplained rejections of accurate suggestions, failure modes you can't predict, fairness concerns in edge populations. It thinks like a researcher who's led research programs across conversational AI, recommendation engines, and autonomous decision systems.\u003c\/div\u003e\u003cdiv\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cstrong\u003eBest used with:\u003c\/strong\u003e\u003c\/div\u003e\u003cdiv\u003eBundles or prompts related to AI product strategy, user research methods, and responsible AI evaluation.\u003c\/div\u003e","brand":"penguin tree ai","offers":[{"title":"Default Title","offer_id":51992840077614,"sku":"ai-user-researcher","price":5.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/4203\/6014\/files\/ai-user-researcher_238c35f8-c63d-44ce-99ec-f3a5039d2f15.png?v=1779764300","url":"https:\/\/penguintree.ai\/products\/ai-user-researcher","provider":"penguin tree ai","version":"1.0","type":"link"}