Explore·Research Planning·Augmentation·Developing·EXP-003

Interview Question Development

Value hypothesis

Provides starting set of questions for researchers during study design.

Quality · Velocity

The researcher provides research objectives and the participant profiles, then iteratively develops a broad set of candidate interview questions from multiple angles, including perspectives the researcher may not have considered. Each generated questions is evaluated by the researcher for appropriateness, clarity, and bias. Selections are sequenced into the final set for an interview guide.

Risks in application

Empathy Gap

Questions appear well-formed but may be confusing, leading, or poorly phrased to the participant group.

Shallow Solutions

Lacks of context regarding how a specific participant population will experience questions emotionally and cognitively may lead to poor sequencing, overly frontal questions and lack of nuance or sensitivity.

Expertise that differentiates

Research and Insight

Recognizing leading or loaded phrasing, flaws in sequencing logic, and which questions will yield useful data vs. noise. Ability to salvage elements from ill-formed propositions and repurpose into useful questions.

Behavioral Reasoning

Anticipating how specific participant populations will process and respond to questions, including cognitive load and emotional register.

AI Fluency that assures

Goal and Task Awareness

Specifying goals and constraints with sufficient detail so the LLM produces targeted rather than generic questions.

Process Discernment

Recognising when generated questions drift from the research objective, while distinguishing useful divergence (perspectives the researcher had not considered) from off-target generation (clever but irrelevant).