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#User Research

User Research on The Latent Daily: 4 prompts. News, explainers and guides on User Research, each linked to its sources.

4 items

Prompts tagged #User Research

Researchintermediate

User interview script that avoids leading questions

You are a user researcher. Write an interview script for the study below. Product or topic: [WHAT WE ARE STUDYING] Research goal: [WHAT WE NEED TO LEARN, e.g. "how small landlords track repairs today"] Decisions this research will inform: [e.g. "whether to build a repair-tracking feature"] Participants: [WHO, AND HOW THEY WERE RECRUITED] Interview length and format: [e.g. "45 minutes, video call"] Assumptions we want to test: [LIST OUR BELIEFS, e.g. "landlords use spreadsheets"] Produce: 1. An introduction script: purpose, consent to record, no right or wrong answers, permission to stop. 2. Warm-up questions (5 minutes) about their context. 3. Core questions (most of the time) about specific past experiences, e.g. "Tell me about the last time...". Group them by theme and give a time estimate per section. 4. Neutral probes to use after any answer, such as "What happened next?" or "Why was that important?". 5. A wrap-up with "Is there anything I should have asked?" and next steps. 6. A note-taking template with columns for quote, behaviour, pain point and surprise. 7. A bias check: list any question in the draft that is leading, hypothetical or asks about future behaviour, and rewrite it. Rules: do not mention our product idea until the final section, if at all. Prefer questions about what people did over what they would do. Map each assumption to the questions that test it.

Works with: ChatGPT, Claude, Gemini, Any LLM

Marketingintermediate

Customer persona built from your real research

You are a customer research analyst. Build a customer persona from the evidence below. Do not invent details that are not supported by it. Product or service: [WHAT YOU OFFER] Segment I am focusing on: [e.g. "first-time buyers", "small agencies"] How I will use the persona: [e.g. "to write website copy", "to prioritise features"] Evidence (label each source): """ [S1] [INTERVIEW NOTES] [S2] [CUSTOMER REVIEWS] [S3] [SUPPORT TICKETS OR SURVEY ANSWERS] """ Produce the persona with these sections: 1. Name and one-line description (make clear the name is fictional). 2. Context: role, situation and what triggers them to look for a solution. 3. Goals and jobs to be done. 4. Pains and frustrations, using their own words where possible. 5. Objections and doubts before buying. 6. Where they look for information and whom they trust. 7. Words they use (and words they never use). Rules: - After every point, cite the source labels it comes from, e.g. [S1, S3]. - Mark anything that is a reasonable inference but not directly stated as "ASSUMPTION". - Do not add demographics such as age, income or gender unless the evidence states them. - End with "Evidence gaps": 5 questions to ask in the next customer interviews.

Works with: ChatGPT, Claude, Gemini, Any LLM

Researchintermediate

Survey question design and bias review

You are a survey methodologist. Help me design a survey that produces reliable answers. What I want to learn: [2-4 RESEARCH GOALS] Respondents: [WHO, AND HOW THEY WILL RECEIVE IT, e.g. "customers by email, mostly on mobile"] Maximum length: [e.g. "5 minutes", "12 questions"] Decisions the results will inform: [e.g. "which feature to build next"] Existing draft (optional): """ [PASTE DRAFT QUESTIONS, or "none"] """ If I gave a draft, review each question first: - Flag problems: leading or loaded wording, two questions in one, vague terms ("often", "regularly"), jargon, overlapping or missing answer options, questions respondents cannot answer accurately. - Give an improved version and one line explaining the change. Then produce the final survey: 1. A one-sentence introduction that states purpose and time needed. 2. Questions in a logical order: easy and general first, sensitive or demographic questions last. 3. For each question: the type (single choice, multiple choice, rating scale, open text), the answer options, and which research goal it serves. 4. Use balanced rating scales with labelled points, and include "Not applicable" or "Prefer not to say" where needed. Finish with: questions I could remove if the survey is too long, and a suggestion to test it with 3-5 people first.

Works with: ChatGPT, Claude, Gemini, Any LLM

Researchadvanced

Thematic analysis of interview transcripts

You are a qualitative researcher. Help me with a first-pass thematic analysis of the interview transcripts below. Research question: [WHAT YOU WANT TO UNDERSTAND] Context: [e.g. "8 interviews with nurses about shift handovers"] Approach: [e.g. "inductive: let themes emerge" or "deductive: use these codes: ..."] Transcripts (participants labelled P1, P2, ... with personal details removed): """ [PASTE TRANSCRIPTS] """ Steps: 1. Initial codes: list short codes (2-5 words) with a one-line definition each. 2. Themes: group codes into 4-7 themes. For each theme give: - Name and a 2-sentence description. - Which participants mention it (e.g. "P1, P3, P4 - 3 of 8"). - 2-3 verbatim quotes with participant labels. Quote exactly; do not paraphrase inside quotation marks. 3. Divergent views: where participants disagree or a single participant says something important that does not fit. 4. Relationships: how themes might connect (e.g. one appears to cause another), labelled "TENTATIVE". 5. Limitations of this first pass: what a human analyst should check. Rules: - Do not report a theme supported by only one participant as a pattern. - Do not infer feelings or motives that participants did not express. - Keep my research question in focus; put off-topic material under "Other observations".

Works with: ChatGPT, Claude, Gemini, Any LLM