Explore·Research Planning·Augmentation·Developing·EXP-002
Research Plan Development
Value hypothesis
A first-draft research plan generated on project inputs frees the researcher from formalization focus on details of study design like hypothesis formulation, methodological choice and fieldwork logistics.
Velocity · Efficiency
The researcher supplies a brief or problem statement alongside constraints (budget, resources, and timeline)s, and the AI proposes a draft research plan with methodology, participant criteria, schedule and questions that may fulfill the research objectives. The draft is reviewed for missing elements, methodological fit, and relevance to the problem, treating it as a structured starting point rather than a finished plan.
Risks in application
Shallow Solutions
Plans appear methodologically sound but default to familiar approaches, returning a generic approach rather than engaging the research problem fully. A plausible draft may pass review without the rigour and judgment of specifics that make a plan fit for its objectives.
Homogenization
AI systematically favours canonical methods, crowding out unconventional but more appropriate approaches for a given problem. This exacerbates both shallow solutions and deskilling, because innovative approaches to novel problems or difficult participant populations may never emerge from the training data.
Expertise that differentiates
Research and Insight
Ability to quickly sift useful from inappropriate material, to identify over- or underfitted methodologies, and to sniff out biased or boilerplate propositions.
Business Framing
Aligning the initial draft to the actual decision the plan is meant to inform, using full organizational context that would be difficult to load and calibrate for the AI.
AI Fluency that assures
Product Discernment
Output is well-formed but either tends toward the generic, or misses an opportunities for creative approaches that would better address needs and constraints.
Related
Depends on
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Enables
Possible Indicators
Cycle time compression
Elapsed time from baseline internal knowledge collection to approved research plan draft.
Draft completeness
Proportion of plan sections usable without major rework relative to a from-scratch baseline.
Sources
Noltenius (2025). Advancing User Experience Design through Generative AI. TU Wien.
Orego (2025). A Practical Guide to AI for UX Research in 2025. Great Question.
Orego (2025). Deep Dive: AI for UX Research Planning & Recruiting. Great Question.
Rosenfeld and Kochoska (2026). Human-Centered Research with AI. IDEO U.