{"title":"Discovery Researcher","description":"\u003cdiv style=\"box-sizing:border-box;max-width:1080px;margin:0 auto;padding:16px 18px 44px;color:#151827;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;font-size:16px;line-height:1.65;\"\u003e\n  \u003csection aria-labelledby=\"profession-21507-intro\" style=\"position:relative;overflow:hidden;margin-bottom:56px;padding:clamp(34px,6vw,68px);background:linear-gradient(125deg,#090d1d 0%,#13142b 58%,#23123a 100%);border:1px solid #292d49;border-radius:28px;color:#ffffff;box-shadow:0 22px 60px rgba(18,16,44,.18);\"\u003e\n    \u003cdiv aria-hidden=\"true\" style=\"position:absolute;right:-100px;top:-120px;width:330px;height:330px;border-radius:999px;background:radial-gradient(circle,rgba(217,70,239,.35) 0%,rgba(124,58,237,.08) 50%,rgba(124,58,237,0) 72%);\"\u003e\u003c\/div\u003e\n    \u003cdiv style=\"position:relative;display:grid;grid-template-columns:repeat(auto-fit,minmax(260px,1fr));gap:clamp(28px,5vw,64px);align-items:end;\"\u003e\n      \u003cdiv\u003e\n        \u003cdiv style=\"display:flex;align-items:center;gap:10px;margin-bottom:22px;\"\u003e\n\u003cspan style=\"display:block;width:34px;height:2px;background:#d946ef;\"\u003e\u003c\/span\u003e\u003cp style=\"margin:0;color:#d8b4fe;font-size:12px;font-weight:800;letter-spacing:.14em;text-transform:uppercase;\"\u003eAI for professions · Product Management\u003c\/p\u003e\n\u003c\/div\u003e\n        \u003ch2 id=\"profession-21507-intro\" style=\"max-width:760px;margin:0 0 20px;color:#ffffff;font-size:clamp(34px,6vw,60px);font-weight:760;line-height:1.04;letter-spacing:-.04em;\"\u003eAI tools for Discovery Researcher - Work faster, keep control\u003c\/h2\u003e\n        \u003cp style=\"max-width:710px;margin:0;color:#cbd0df;font-size:clamp(17px,2.2vw,20px);line-height:1.6;\"\u003eUse AI to prepare source tables, analysis plans, model notes, charts and decision briefs while people retain control of method selection, interpretation and challenge. The goal is a better Product Management workflow, not automation for its own sake.\u003c\/p\u003e\n      \u003c\/div\u003e\n      \u003caside style=\"padding:4px 0 4px 24px;border-left:2px solid #c026d3;\"\u003e\n        \u003cp style=\"margin:0 0 10px;color:#e9d5ff;font-size:12px;font-weight:800;letter-spacing:.12em;text-transform:uppercase;\"\u003eOperating principle\u003c\/p\u003e\n        \u003cp style=\"margin:0 0 18px;color:#ffffff;font-size:22px;font-weight:650;line-height:1.35;\"\u003eAI prepares the work.\u003cbr\u003ePeople own the decision.\u003c\/p\u003e\n        \u003cdiv style=\"display:flex;flex-wrap:wrap;gap:8px;\"\u003e\n\u003cspan style=\"padding:7px 11px;border:1px solid rgba(216,180,254,.28);border-radius:999px;color:#d7d9e4;font-size:12px;\"\u003eEvidence-led\u003c\/span\u003e\u003cspan style=\"padding:7px 11px;border:1px solid rgba(216,180,254,.28);border-radius:999px;color:#d7d9e4;font-size:12px;\"\u003eReviewable\u003c\/span\u003e\u003cspan style=\"padding:7px 11px;border:1px solid rgba(216,180,254,.28);border-radius:999px;color:#d7d9e4;font-size:12px;\"\u003eHuman-approved\u003c\/span\u003e\n\u003c\/div\u003e\n      \u003c\/aside\u003e\n    \u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003csection aria-labelledby=\"profession-21507-role\" style=\"margin-bottom:64px;\"\u003e\n    \u003cdiv style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(260px,1fr));gap:clamp(28px,5vw,70px);align-items:start;\"\u003e\n      \u003cdiv\u003e\n\u003cp style=\"margin:0 0 10px;color:#7c3aed;font-size:12px;font-weight:800;letter-spacing:.12em;text-transform:uppercase;\"\u003eThe work behind the title\u003c\/p\u003e\n\u003ch2 id=\"profession-21507-role\" style=\"margin:0;color:#111322;font-size:clamp(28px,4vw,38px);line-height:1.16;letter-spacing:-.025em;\"\u003eStart with the workflow, not the feature list.\u003c\/h2\u003e\n\u003c\/div\u003e\n      \u003cdiv\u003e\n\u003cp style=\"margin:0 0 18px;color:#434a5e;font-size:17px;\"\u003eDiscovery Researcher work sits inside Product Management. The role is helped most by AI when it can turn scattered evidence into transparent analysis without hiding assumptions or uncertainty, using source tables, analysis plans, model notes, charts and decision briefs that remain easy to inspect and correct. Its specific lens includes methods, primary evidence, reproducibility, uncertainty and research integrity. The distinguishing scope is discovery researcher: evaluation examples should mirror the inputs, failure modes, evidence and handoffs of the full Discovery Researcher role, not a neighboring job title.\u003c\/p\u003e\n\u003cp style=\"margin:0 0 18px;color:#434a5e;font-size:17px;\"\u003eProduct teams connect customer problems, commercial context, technical constraints and usage evidence across an evolving roadmap. AI can synthesize and draft, but prioritisation still requires explicit trade-offs and responsibility for user impact. For this profession, a strong starting point is a repeatable analysis with a known dataset, baseline and independent review. Analysts remain responsible for data quality, methods, uncertainty, interpretation and recommendations.\u003c\/p\u003e\n\u003cdiv style=\"margin-top:22px;padding:18px 0 0;border-top:1px solid #dfe2ea;\"\u003e\n\u003cp style=\"margin:0;color:#181b2a;font-weight:700;\"\u003eA useful starting point\u003c\/p\u003e\n\u003cp style=\"margin:4px 0 0;color:#62697b;\"\u003ea repeatable analysis with a known dataset, baseline and independent review.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cdiv style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(210px,1fr));gap:24px 28px;margin-top:34px;\"\u003e\n        \u003carticle style=\"padding:18px 0 0;border-top:2px solid #7c3aed;\"\u003e\n          \u003cspan style=\"display:block;margin-bottom:6px;color:#7c3aed;font-size:11px;font-weight:800;letter-spacing:.1em;text-transform:uppercase;\"\u003ePreparation\u003c\/span\u003e\n          \u003cp style=\"margin:0;color:#535b6e;\"\u003eFaster preparation of source tables, analysis plans, model notes, charts and decision briefs for Discovery Researcher, with a visible route back to source material and methods, primary evidence, reproducibility, uncertainty and research integrity.\u003c\/p\u003e\n        \u003c\/article\u003e\n        \u003carticle style=\"padding:18px 0 0;border-top:2px solid #9333ea;\"\u003e\n          \u003cspan style=\"display:block;margin-bottom:6px;color:#7c3aed;font-size:11px;font-weight:800;letter-spacing:.1em;text-transform:uppercase;\"\u003eConsistency\u003c\/span\u003e\n          \u003cp style=\"margin:0;color:#535b6e;\"\u003eMore consistent review and clearer handoffs within Product Management.\u003c\/p\u003e\n        \u003c\/article\u003e\n        \u003carticle style=\"padding:18px 0 0;border-top:2px solid #c026d3;\"\u003e\n          \u003cspan style=\"display:block;margin-bottom:6px;color:#7c3aed;font-size:11px;font-weight:800;letter-spacing:.1em;text-transform:uppercase;\"\u003eEvidence\u003c\/span\u003e\n          \u003cp style=\"margin:0;color:#535b6e;\"\u003eresearch claims linked to source evidence and requirements changed after cross-functional review, without hiding correction effort.\u003c\/p\u003e\n        \u003c\/article\u003e\n        \u003carticle style=\"padding:18px 0 0;border-top:2px solid #db2777;\"\u003e\n          \u003cspan style=\"display:block;margin-bottom:6px;color:#7c3aed;font-size:11px;font-weight:800;letter-spacing:.1em;text-transform:uppercase;\"\u003eHuman focus\u003c\/span\u003e\n          \u003cp style=\"margin:0;color:#535b6e;\"\u003eMore time for method selection, interpretation and challenge, where professional context matters most.\u003c\/p\u003e\n        \u003c\/article\u003e\n\u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003csection aria-labelledby=\"profession-21507-workflow\" style=\"margin-bottom:64px;padding-top:8px;\"\u003e\n    \u003cdiv style=\"max-width:730px;margin-bottom:28px;\"\u003e\n\u003cp style=\"margin:0 0 9px;color:#7c3aed;font-size:12px;font-weight:800;letter-spacing:.12em;text-transform:uppercase;\"\u003eA practical workflow\u003c\/p\u003e\n\u003ch2 id=\"profession-21507-workflow\" style=\"margin:0 0 12px;color:#111322;font-size:clamp(28px,4vw,38px);line-height:1.16;letter-spacing:-.025em;\"\u003eFour stages where AI can assist\u003c\/h2\u003e\n\u003cp style=\"margin:0;color:#5c6375;\"\u003eEach stage begins with a defined human objective and ends with review against evidence, policy and operating context.\u003c\/p\u003e\n\u003c\/div\u003e\n    \u003col style=\"margin:0;padding:0;list-style:none;border-top:1px solid #dfe2ea;\"\u003e\n      \u003cli style=\"display:flex;gap:clamp(18px,4vw,38px);padding:28px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n        \u003cdiv style=\"flex:0 0 58px;\"\u003e\u003cspan style=\"display:flex;width:52px;height:52px;align-items:center;justify-content:center;background:#17182c;border-radius:50%;color:#f0abfc;font-size:14px;font-weight:800;box-shadow:0 8px 24px rgba(23,24,44,.16);\"\u003e01\u003c\/span\u003e\u003c\/div\u003e\n        \u003carticle style=\"flex:1 1 auto;min-width:0;\"\u003e\n          \u003cp style=\"margin:0 0 6px;color:#8b2bb5;font-size:11px;font-weight:800;letter-spacing:.12em;text-transform:uppercase;\"\u003eFrame\u003c\/p\u003e\n          \u003ch3 style=\"margin:0 0 9px;color:#151827;font-size:22px;line-height:1.25;\"\u003ePrepare the evidence for Discovery Researcher\u003c\/h3\u003e\n          \u003cp style=\"margin:0 0 12px;color:#545c6f;\"\u003eProfile source material, define fields and flag missing or inconsistent inputs. For Discovery Researcher, keep this centered on methods, primary evidence, reproducibility, uncertainty and research integrity. The distinguishing scope is discovery researcher: evaluation examples should mirror the inputs, failure modes, evidence and handoffs of the full Discovery Researcher role, not a neighboring job title.\u003c\/p\u003e\n          \u003cp style=\"margin:0;color:#252a3b;font-size:14px;\"\u003e\u003cstrong\u003eHuman check:\u003c\/strong\u003e Preserve raw data and document every transformation.\u003c\/p\u003e\n        \u003c\/article\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"display:flex;gap:clamp(18px,4vw,38px);padding:28px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n        \u003cdiv style=\"flex:0 0 58px;\"\u003e\u003cspan style=\"display:flex;width:52px;height:52px;align-items:center;justify-content:center;background:#312e81;border-radius:50%;color:#ddd6fe;font-size:14px;font-weight:800;box-shadow:0 8px 24px rgba(23,24,44,.16);\"\u003e02\u003c\/span\u003e\u003c\/div\u003e\n        \u003carticle style=\"flex:1 1 auto;min-width:0;\"\u003e\n          \u003cp style=\"margin:0 0 6px;color:#8b2bb5;font-size:11px;font-weight:800;letter-spacing:.12em;text-transform:uppercase;\"\u003eLearn\u003c\/p\u003e\n          \u003ch3 style=\"margin:0 0 9px;color:#151827;font-size:22px;line-height:1.25;\"\u003eExperiment and launch review\u003c\/h3\u003e\n          \u003cp style=\"margin:0 0 12px;color:#545c6f;\"\u003eSummarize instrumentation, outcomes, user feedback and known limitations after release.\u003c\/p\u003e\n          \u003cp style=\"margin:0;color:#252a3b;font-size:14px;\"\u003e\u003cstrong\u003eHuman check:\u003c\/strong\u003e Teams validate data quality, interpret uncertainty and decide iteration, rollback or retirement.\u003c\/p\u003e\n        \u003c\/article\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"display:flex;gap:clamp(18px,4vw,38px);padding:28px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n        \u003cdiv style=\"flex:0 0 58px;\"\u003e\u003cspan style=\"display:flex;width:52px;height:52px;align-items:center;justify-content:center;background:#701a75;border-radius:50%;color:#fae8ff;font-size:14px;font-weight:800;box-shadow:0 8px 24px rgba(23,24,44,.16);\"\u003e03\u003c\/span\u003e\u003c\/div\u003e\n        \u003carticle style=\"flex:1 1 auto;min-width:0;\"\u003e\n          \u003cp style=\"margin:0 0 6px;color:#8b2bb5;font-size:11px;font-weight:800;letter-spacing:.12em;text-transform:uppercase;\"\u003eApply\u003c\/p\u003e\n          \u003ch3 style=\"margin:0 0 9px;color:#151827;font-size:22px;line-height:1.25;\"\u003eBuild the output\u003c\/h3\u003e\n          \u003cp style=\"margin:0 0 12px;color:#545c6f;\"\u003ePrepare code, tables, charts or a narrative linked to the underlying evidence. For Discovery Researcher, keep this centered on methods, primary evidence, reproducibility, uncertainty and research integrity. Use evaluation examples that belong to this role rather than an adjacent profession.\u003c\/p\u003e\n          \u003cp style=\"margin:0;color:#252a3b;font-size:14px;\"\u003e\u003cstrong\u003eHuman check:\u003c\/strong\u003e Reproduce key results independently and label uncertainty.\u003c\/p\u003e\n        \u003c\/article\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"display:flex;gap:clamp(18px,4vw,38px);padding:28px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n        \u003cdiv style=\"flex:0 0 58px;\"\u003e\u003cspan style=\"display:flex;width:52px;height:52px;align-items:center;justify-content:center;background:#831843;border-radius:50%;color:#fce7f3;font-size:14px;font-weight:800;box-shadow:0 8px 24px rgba(23,24,44,.16);\"\u003e04\u003c\/span\u003e\u003c\/div\u003e\n        \u003carticle style=\"flex:1 1 auto;min-width:0;\"\u003e\n          \u003cp style=\"margin:0 0 6px;color:#8b2bb5;font-size:11px;font-weight:800;letter-spacing:.12em;text-transform:uppercase;\"\u003eDecide\u003c\/p\u003e\n          \u003ch3 style=\"margin:0 0 9px;color:#151827;font-size:22px;line-height:1.25;\"\u003ePrioritisation preparation\u003c\/h3\u003e\n          \u003cp style=\"margin:0 0 12px;color:#545c6f;\"\u003eCompare value, risk, effort, dependencies and strategic fit using an approved framework.\u003c\/p\u003e\n          \u003cp style=\"margin:0;color:#252a3b;font-size:14px;\"\u003e\u003cstrong\u003eHuman check:\u003c\/strong\u003e Leaders own the weights, trade-offs, exclusions and final roadmap choice. The accountable Discovery Researcher confirms the final handoff.\u003c\/p\u003e\n        \u003c\/article\u003e\n      \u003c\/li\u003e\n\u003c\/ol\u003e\n  \u003c\/section\u003e\n\n  \u003csection aria-labelledby=\"profession-21507-checklist\" style=\"margin-bottom:64px;\"\u003e\n    \u003cdiv style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(260px,1fr));gap:clamp(28px,5vw,64px);align-items:start;\"\u003e\n      \u003cdiv\u003e\n\u003cp style=\"margin:0 0 9px;color:#7c3aed;font-size:12px;font-weight:800;letter-spacing:.12em;text-transform:uppercase;\"\u003eBefore adopting a tool\u003c\/p\u003e\n\u003ch2 id=\"profession-21507-checklist\" style=\"margin:0 0 14px;color:#111322;font-size:clamp(28px,4vw,38px);line-height:1.16;letter-spacing:-.025em;\"\u003eSelection checklist\u003c\/h2\u003e\n\u003cp style=\"margin:0;color:#5c6375;\"\u003eAssess the workflow, evidence and governance together. A polished output is not, by itself, a reliable evaluation.\u003c\/p\u003e\n\u003c\/div\u003e\n      \u003cdiv style=\"border-top:1px solid #dfe2ea;\"\u003e\n        \u003cdiv style=\"display:flex;gap:14px;padding:16px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n\u003cspan style=\"color:#a21caf;font-weight:900;\"\u003e✓\u003c\/span\u003e\u003cspan style=\"color:#3f4658;\"\u003epreserves quotations and research provenance\u003c\/span\u003e\n\u003c\/div\u003e\n        \u003cdiv style=\"display:flex;gap:14px;padding:16px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n\u003cspan style=\"color:#a21caf;font-weight:900;\"\u003e✓\u003c\/span\u003e\u003cspan style=\"color:#3f4658;\"\u003econnects to product tools without uncontrolled duplication\u003c\/span\u003e\n\u003c\/div\u003e\n        \u003cdiv style=\"display:flex;gap:14px;padding:16px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n\u003cspan style=\"color:#a21caf;font-weight:900;\"\u003e✓\u003c\/span\u003e\u003cspan style=\"color:#3f4658;\"\u003esupports permissions for roadmap and user data\u003c\/span\u003e\n\u003c\/div\u003e\n        \u003cdiv style=\"display:flex;gap:14px;padding:16px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n\u003cspan style=\"color:#a21caf;font-weight:900;\"\u003e✓\u003c\/span\u003e\u003cspan style=\"color:#3f4658;\"\u003edistinguishes evidence from generated synthesis\u003c\/span\u003e\n\u003c\/div\u003e\n        \u003cdiv style=\"display:flex;gap:14px;padding:16px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n\u003cspan style=\"color:#a21caf;font-weight:900;\"\u003e✓\u003c\/span\u003e\u003cspan style=\"color:#3f4658;\"\u003eexports discovery, requirements and decision logs\u003c\/span\u003e\n\u003c\/div\u003e\n        \u003cdiv style=\"display:flex;gap:14px;padding:16px 0;border-bottom:1px solid #dfe2ea;\"\u003e\n\u003cspan style=\"color:#a21caf;font-weight:900;\"\u003e✓\u003c\/span\u003e\u003cspan style=\"color:#3f4658;\"\u003ecan be evaluated across products, languages and user groups\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003csection aria-labelledby=\"profession-21507-guidaio\" style=\"overflow:hidden;margin-bottom:64px;border:1px solid #e1d5ea;border-radius:24px;background:#ffffff;box-shadow:0 18px 50px rgba(70,31,92,.09);\"\u003e\n    \u003cdiv style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(260px,1fr));align-items:stretch;\"\u003e\n      \u003cdiv style=\"display:flex;min-height:270px;flex-direction:column;justify-content:space-between;padding:clamp(28px,5vw,46px);background:linear-gradient(145deg,#4c1d95 0%,#86198f 62%,#be185d 100%);color:#ffffff;\"\u003e\n\u003cp style=\"margin:0;color:#f5d0fe;font-size:12px;font-weight:800;letter-spacing:.13em;text-transform:uppercase;\"\u003eThe Guidaio perspective\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cp style=\"margin:0;color:#ffffff;font-size:clamp(54px,9vw,86px);font-weight:800;line-height:.95;letter-spacing:-.055em;\"\u003e7,000+\u003c\/p\u003e\n\u003cp style=\"max-width:300px;margin:12px 0 0;color:#f5e9fa;font-size:17px;line-height:1.45;\"\u003eAI tools tested and evaluated across a market that keeps moving.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv style=\"padding:clamp(30px,5vw,48px);\"\u003e\n        \u003ch2 id=\"profession-21507-guidaio\" style=\"margin:0 0 14px;color:#151827;font-size:clamp(27px,4vw,36px);line-height:1.16;letter-spacing:-.025em;\"\u003eAdopt for the work, not for the demo.\u003c\/h2\u003e\n        \u003cp style=\"margin:0 0 26px;color:#555d70;\"\u003eGuidaio has seen AI tools launch, improve, change direction and disappear. The durable product asset is not an AI summary but the chain from user evidence to decision, requirement and outcome. For Discovery Researcher, continuity belongs in the selection criteria alongside immediate capability.\u003c\/p\u003e\n        \u003cdiv style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(190px,1fr));gap:20px 24px;\"\u003e\n          \u003cdiv style=\"padding-top:15px;border-top:2px solid #a855f7;\"\u003e\n\u003cstrong style=\"display:block;margin-bottom:6px;color:#232638;\"\u003ePlan for portability\u003c\/strong\u003e\u003cspan style=\"color:#61687a;font-size:14px;\"\u003ePrefer usable exports for research repository, opportunity taxonomy, roadmap rationale, requirements and acceptance criteria, experiment and decision history. The workflow should remain recoverable if pricing, ownership or the product changes.\u003c\/span\u003e\n\u003c\/div\u003e\n          \u003cdiv style=\"padding-top:15px;border-top:2px solid #c026d3;\"\u003e\n\u003cstrong style=\"display:block;margin-bottom:6px;color:#232638;\"\u003eCalibrate privacy\u003c\/strong\u003e\u003cspan style=\"color:#61687a;font-size:14px;\"\u003eGDPR applies when in-scope research, ticket or analytics data relates to identifiable users, including many pseudonymous identifiers. Separate public market material from person-level evidence, collect for a defined purpose, minimise access and retention, and preserve consent or other lawful basis for research and profiling. In this context, examine how the tool handles customer interview recordings and transcripts, user identifiers and product analytics, support tickets and account context, confidential roadmap and commercial strategy, employee and stakeholder notes.\u003c\/span\u003e\n\u003c\/div\u003e\n          \u003cdiv style=\"padding-top:15px;border-top:2px solid #db2777;\"\u003e\n\u003cstrong style=\"display:block;margin-bottom:6px;color:#232638;\"\u003eBring us the precise need\u003c\/strong\u003e\u003cspan style=\"color:#61687a;font-size:14px;\"\u003eContact Guidaio with the exact feature or workflow you need. Our experts can translate it into practical criteria and advise on an appropriate shortlist.\u003c\/span\u003e\n\u003c\/div\u003e\n        \u003c\/div\u003e\n      \u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003csection aria-labelledby=\"profession-21507-faq\" style=\"margin-bottom:42px;\"\u003e\n    \u003cdiv style=\"max-width:720px;margin-bottom:22px;\"\u003e\n\u003cp style=\"margin:0 0 9px;color:#7c3aed;font-size:12px;font-weight:800;letter-spacing:.12em;text-transform:uppercase;\"\u003eFAQ\u003c\/p\u003e\n\u003ch2 id=\"profession-21507-faq\" style=\"margin:0;color:#111322;font-size:clamp(28px,4vw,38px);line-height:1.16;letter-spacing:-.025em;\"\u003eQuestions Discovery Researcher teams should ask\u003c\/h2\u003e\n\u003c\/div\u003e\n    \u003cdiv style=\"border-top:1px solid #cfd3dc;\"\u003e\n      \u003cdetails style=\"padding:22px 0;border-bottom:1px solid #cfd3dc;\"\u003e\u003csummary style=\"cursor:pointer;color:#171a29;font-size:19px;font-weight:700;\"\u003eWhich tasks are suitable for AI?\u003c\/summary\u003e\u003cp style=\"max-width:820px;margin:13px 0 0;color:#555d70;\"\u003eBegin with bounded, reviewable work such as Prepare the evidence for Discovery Researcher and Experiment and launch review. The source material, expected output and person responsible for approval should all be clear.\u003c\/p\u003e\u003c\/details\u003e\n      \u003cdetails style=\"padding:22px 0;border-bottom:1px solid #cfd3dc;\"\u003e\u003csummary style=\"cursor:pointer;color:#171a29;font-size:19px;font-weight:700;\"\u003eWhat must remain human?\u003c\/summary\u003e\u003cp style=\"max-width:820px;margin:13px 0 0;color:#555d70;\"\u003eAnalysts remain responsible for data quality, methods, uncertainty, interpretation and recommendations.\u003c\/p\u003e\u003c\/details\u003e\n      \u003cdetails style=\"padding:22px 0;border-bottom:1px solid #cfd3dc;\"\u003e\u003csummary style=\"cursor:pointer;color:#171a29;font-size:19px;font-weight:700;\"\u003eHow should tools be compared?\u003c\/summary\u003e\u003cp style=\"max-width:820px;margin:13px 0 0;color:#555d70;\"\u003eUse representative work and compare research claims linked to source evidence, requirements changed after cross-functional review, decisions with recorded trade-offs and owner, launch metrics with validated definitions and instrumentation. Include correction time, privacy controls, portability, total cost and the quality of human review.\u003c\/p\u003e\u003c\/details\u003e\n    \u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003caside style=\"display:flex;flex-wrap:wrap;gap:18px 30px;align-items:center;justify-content:space-between;padding:24px 26px;background:#fafafa;border-left:4px solid #c026d3;border-radius:0 16px 16px 0;\"\u003e\u003cdiv style=\"flex:1 1 480px;\"\u003e\n\u003cstrong style=\"display:block;margin-bottom:4px;color:#171a29;font-size:18px;\"\u003eHuman review is part of the workflow, not a final formality.\u003c\/strong\u003e\u003cspan style=\"color:#5c6375;\"\u003eName the reviewer, define the evidence and document the decision before an AI-supported process goes live.\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cspan style=\"color:#86198f;font-size:12px;font-weight:800;letter-spacing:.11em;text-transform:uppercase;\"\u003ePrepare · review · decide\u003c\/span\u003e\u003c\/aside\u003e\n\u003c\/div\u003e","products":[],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1038\/0905\/7099\/collections\/product-operations-discovery-researcher.png?v=1786655339","url":"https:\/\/guidaio.com\/collections\/product-operations-discovery-researcher.oembed","provider":"Guidaio","version":"1.0","type":"link"}