Claude Prompt Library

30 Claude Prompts for User Research

30 copy-paste prompts

Paste these into Claude to draft interview guides, screeners, session notes, and insight write-ups a product team can act on without another round of cleanup.

In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Hand-curated and tested by the AI Academy team.

Louis Corneloup
By Louis Corneloup ยท Founder, Techpresso
Last updated ยทHand-curated & tested by the AI Academy team

Interview Guides

5 prompts

Draft a semi-structured interview guide from a research question

1/30

โœจ What it does

Turns a research question and product decision into a timeboxed, semi-structured interview guide.

You are a senior user researcher writing a semi-structured interview guide for a product team. <context> I have a research question and a decision this study needs to inform, and I need a guide I can run in a 45 to 60 minute session without reading from a script. </context> <inputs> - Research question: [RESEARCH QUESTION] - Product decision this study must inform: [PRODUCT DECISION] - Target participant: [TARGET SEGMENT OR ROLE] - Session length: [SESSION LENGTH IN MINUTES] - Topics that are already well known: [KNOWN TOPICS TO SKIP] </inputs> <task> Write a semi-structured interview guide with a short intro, warm-up, core questions grouped by topic, planned probes, and a close. Each core question should map back to the research question. </task> <constraints> Write questions in everyday language a participant would actually understand. Avoid leading wording and yes or no questions unless they open a probe. Keep the guide runnable in the stated session length, with time marks. Do not invent product facts that are not in the inputs. </constraints> <format> Return sections in this order: Study Goal (2 sentences), Timeboxed Outline, Intro Script, Warm-up Questions, Core Topics (each with 3 to 5 questions and 2 probes), Close Script. </format>

๐Ÿ’ก

Pro tip: Paste the actual decision the team will make after the study, not a vague theme, so the questions stay tied to a choice rather than a fishing trip.

Rewrite weak interview questions into better probes

2/30

โœจ What it does

Diagnoses leading or abstract interview questions and rewrites them into behavior-focused probes.

You are a senior user researcher coaching a junior moderator who wrote a first-pass interview guide. <context> My draft guide has several questions that are leading, double-barreled, or too abstract, and I need them rewritten before I run the first session. </context> <inputs> - Draft questions: [PASTE DRAFT QUESTIONS] - Research question: [RESEARCH QUESTION] - Participant type: [PARTICIPANT TYPE] - Product or workflow under study: [PRODUCT OR WORKFLOW] </inputs> <task> Review each draft question, name the problem with it, and rewrite it as a clearer open question plus one follow-up probe that gets at behavior, not opinion. </task> <constraints> Do not keep a question that asks the participant to design the solution. Prefer questions about the last time they did the task over hypothetical future questions. If a draft question is already fine, say so and leave it. </constraints> <format> Return a table with columns Original, Problem, Rewritten Question, Follow-up Probe. End with a short list titled Questions To Drop if any should be removed entirely. </format>

๐Ÿ’ก

Pro tip: Run this on the questions you feel most attached to. Those are often the ones that telegraph the answer you want.

Adapt an interview guide for a second segment

3/30

โœจ What it does

Adapts an existing interview guide for a second segment while keeping comparable questions intact.

You are a senior user researcher adapting an existing interview guide for a new participant segment. <context> I already ran this guide with one segment and now I need a version that still answers the same research question for a different group, without starting from scratch. </context> <inputs> - Original guide: [PASTE ORIGINAL INTERVIEW GUIDE] - Original segment: [ORIGINAL SEGMENT] - New segment: [NEW SEGMENT] - What you already learned from the first segment: [KEY FINDINGS SO FAR] - What must stay comparable across segments: [COMPARABLE QUESTIONS] </inputs> <task> Produce a revised guide for the new segment. Keep the comparable questions intact so you can contrast answers later, and rewrite only the parts that would confuse or mis-frame the new group. </task> <constraints> Mark every change so a second researcher can see what moved. Do not drop a comparable question just because the wording feels slightly off. If a question truly does not apply to the new segment, replace it with a counterpart that still maps to the same research question. </constraints> <format> Return three sections: What Stayed The Same, Revised Guide, Change Log (bullet list of edits and why). </format>

๐Ÿ’ก

Pro tip: Lock the comparable questions before you edit anything else, or the two samples become hard to synthesize side by side.

Build a concept-test interview script

4/30

โœจ What it does

Produces a concept-test script that captures first impressions before any pitch, then tests fit and criticism.

You are a senior user researcher writing a concept-test script that gets reaction to a specific idea without pitching it. <context> The product team wants to test a concept with target users and I need a script that surfaces comprehension, appeal, and fit with current workflow, not a sales conversation. </context> <inputs> - Concept description to show participants: [CONCEPT DESCRIPTION OR COPY] - Stimulus format: [STIMULUS FORMAT, E.G. MOCK, ONE PAGER, PROTOTYPE] - Research question: [RESEARCH QUESTION] - Audience: [TARGET AUDIENCE] - Decision the team will make after the test: [GO, ITERATE, OR KILL DECISION] </inputs> <task> Write a concept-test script that covers context setting, first-impression capture before you explain anything, comprehension checks, comparison to the current way of working, and a close that does not ask them to buy. </task> <constraints> The moderator must not explain the concept until after the first-impression questions. Ban questions like "would you use this" as the only measure of appeal. Include at least one question that invites criticism. Keep the script under 50 minutes. </constraints> <format> Return a timed script with these blocks: Setup, First Impression, Comprehension, Workflow Fit, Criticism, Close. Put moderator notes in italics after any question that is easy to lead. </format>

๐Ÿ’ก

Pro tip: Paste the exact stimulus copy the participant will see. If Claude only has a summary, the comprehension checks will miss the real wording problems.

Write a think-aloud usability test protocol

5/30

โœจ What it does

Builds a think-aloud usability protocol with scenario tasks, success rules, and a hint ladder.

You are a senior user researcher writing a moderated usability test protocol for a live or prototype flow. <context> I need a think-aloud protocol with tasks, success criteria, and moderator rules so two researchers can run the same study the same way. </context> <inputs> - Flow or prototype under test: [FLOW OR PROTOTYPE NAME] - Primary task the user must complete: [PRIMARY TASK] - Secondary tasks: [SECONDARY TASKS] - Success criteria the team agreed on: [SUCCESS CRITERIA] - Known broken areas to avoid over-helping on: [KNOWN ROUGH SPOTS] </inputs> <task> Write a usability protocol that includes a think-aloud warm-up, task scenarios in the participant's language, per-task success and fail rules, and a short list of allowed hints. </task> <constraints> Write tasks as realistic scenarios with a goal, not as UI instructions such as "click the blue button". Define success without revealing the path. Cap allowed hints at 3 levels: wait, restate the goal, then point to the area. Do not add extra tasks beyond the inputs. </constraints> <format> Return sections: Warm-up Script, Task Scenarios (each with goal, start state, success, fail), Hint Ladder, Post-task Questions, Moderator Do And Do Not list. </format>

๐Ÿ’ก

Pro tip: Print the hint ladder and keep it next to the moderator. Most studies drift when the moderator starts teaching the UI after the first stumble.

Screeners and Recruit Briefs

5 prompts

Draft a screener from inclusion and exclusion criteria

6/30

โœจ What it does

Turns inclusion, exclusion, and quota rules into a logic-ready screener with hidden terminate paths.

You are a senior user researcher writing a participant screener that a recruiter or panel tool can run without extra briefing. <context> I have inclusion and exclusion criteria for a study and I need a short screener that qualifies the right people and politely ends the rest. </context> <inputs> - Study topic: [STUDY TOPIC] - Inclusion criteria: [INCLUSION CRITERIA] - Exclusion criteria: [EXCLUSION CRITERIA] - Quota mix: [QUOTA MIX BY SEGMENT] - Channel: [CHANNEL, E.G. PANEL, CUSTOMER LIST, INTERCEPT] </inputs> <task> Write a screener with qualifying questions in a logical order, hidden terminate rules, and quota checks. Include a short disqualify message that does not reveal the target profile. </task> <constraints> Ask behavioral questions before identity or job-title questions when the behavior is what matters. Do not put the inclusion criteria in the question wording. Keep the screener under 12 questions. Mark every terminate and every quota-full path. </constraints> <format> Return a numbered screener. For each item: Question, Answer options, Logic (qualify, terminate, or quota). End with Disqualify Message and Recruiter Notes. </format>

๐Ÿ’ก

Pro tip: Have a teammate who does not know the target profile take the screener. If they can guess who you want, the questions are too obvious.

Write a recruit brief for an external vendor

7/30

โœจ What it does

Produces a vendor recruit brief with good-fit portraits, false-positive examples, and logistics.

You are a senior user researcher briefing an external recruit vendor so they do not send a pile of almost-right participants. <context> I am handing a study to a recruit vendor and I need a brief they can staff from, including must-haves, nice-to-haves, and examples of people who look right on paper but should be rejected. </context> <inputs> - Study name and method: [STUDY NAME AND METHOD] - Must-have criteria: [MUST HAVE CRITERIA] - Nice-to-have criteria: [NICE TO HAVE CRITERIA] - People to reject even if they pass the screener: [REJECT EXAMPLES] - Schedule, incentive, and location: [SCHEDULE, INCENTIVE, LOCATION] </inputs> <task> Write a recruit brief the vendor can send to their team. Include a one-paragraph portrait of a good participant, a portrait of a false positive, and the logistics the scheduler needs. </task> <constraints> Be concrete about recent behavior, not just job title. If the reject examples are thin, infer 2 plausible false positives and label them as inferred. Do not inflate the incentive or invent legal terms. </constraints> <format> Return sections: Study Snapshot, Good Participant Portrait, False Positive Portrait, Criteria Table, Schedule And Incentive, Vendor Questions To Confirm. </format>

๐Ÿ’ก

Pro tip: Add two real people from your last study as the good and false-positive portraits. Vendors staff better from examples than from adjective lists.

Flag leading or biased screener questions

8/30

โœจ What it does

Reviews a screener for leading wording and shows how a professional participant could game it.

You are a senior user researcher reviewing a screener for bias, leading wording, and questions that teach the participant the right answer. <context> A teammate drafted this screener and I want a hard review before it goes to a panel, because a leaky screener fills the calendar with people performing the role we described. </context> <inputs> - Draft screener: [PASTE DRAFT SCREENER] - True target behavior: [TRUE TARGET BEHAVIOR] - What must stay hidden: [WHAT MUST STAY HIDDEN] - Study method: [STUDY METHOD] </inputs> <task> Mark every question that telegraphs the desired answer, uses loaded language, or asks for self-identification that people will inflate. Rewrite each flagged item and explain the risk if it ships as is. </task> <constraints> Do not flag a question just to have a finding. If an item is fine, leave it. Prefer behavioral frequency or recency questions over "are you the kind of person who". Keep rewritten questions at a similar reading level to the original. </constraints> <format> Return a table with columns Item, Verdict (keep or rewrite), Risk, Rewrite. Follow with a 5-line note titled How A Professional Participant Could Game This Screener. </format>

๐Ÿ’ก

Pro tip: Pay special attention to any question that names your product or category in the first three items. That is where most screeners leak.

Build a mix plan across segments and quotas

9/30

โœจ What it does

Builds an honest mix plan that matches quotas to the comparisons the sample can actually support.

You are a senior user researcher building a recruit mix plan so the sample can actually support the comparisons the team wants. <context> Stakeholders asked for several segments in one study and I need a mix plan that is honest about what n can support, rather than promising a comparison the sample cannot carry. </context> <inputs> - Research questions that need comparison: [COMPARISON QUESTIONS] - Candidate segments: [CANDIDATE SEGMENTS] - Total n: [TOTAL SAMPLE SIZE] - Method: [METHOD, E.G. INTERVIEW, DIARY, USABILITY] - Hard constraints: [HARD CONSTRAINTS, E.G. BUDGET, TIMELINE] </inputs> <task> Propose a mix plan with per-segment quotas, say which comparisons the sample can support, and name the comparisons that should be dropped or split into a later study. </task> <constraints> Do not assign a quota of 1 or 2 and then claim a segment comparison. If total n is too small for the requested mix, cut segments rather than thinning every cell. State the assumption behind each recommended quota. </constraints> <format> Return a quota table (Segment, Quota, Why This Size), a Supported Comparisons list, and a Drop Or Split Later list with one-line reasons. </format>

๐Ÿ’ก

Pro tip: Show stakeholders the Drop Or Split Later list first. That is the conversation that saves you from a 12-cell study with 8 people.

Write a booking confirmation and consent reminder

10/30

โœจ What it does

Drafts a booking confirmation and day-before reminder that covers consent, recording, and logistics.

You are a senior user researcher writing the emails that get booked participants to show up informed and consenting. <context> I have sessions on the calendar and I need a confirmation email plus a day-before reminder that covers logistics, recording, incentive, and how to reschedule, without sounding like a legal dump. </context> <inputs> - Study name: [STUDY NAME] - Session format and length: [FORMAT AND LENGTH] - Recording and consent notes: [RECORDING AND CONSENT NOTES] - Incentive: [INCENTIVE DETAILS] - Reschedule contact: [RESCHEDULE CONTACT] </inputs> <task> Write a confirmation email sent at booking and a shorter reminder sent the day before. Both should make the next step obvious and state what will be recorded in plain language. </task> <constraints> Keep the confirmation under 180 words and the reminder under 80 words. Do not paste a full consent form into the email. Do not promise confidentiality terms that are not in the inputs. Use a subject line a person will open on a phone. </constraints> <format> Return two blocks. For each: Subject Line, Body, Checklist Of Facts The Participant Now Knows. </format>

๐Ÿ’ก

Pro tip: Send the reminder at the same local time the session is booked, not at your 9am. No-show rates drop when the note hits while people are planning the next day.

Session Notes and Moderating

5 prompts

Turn a raw transcript into structured session notes

11/30

โœจ What it does

Converts a transcript into same-day notes that separate observation from interpretation.

You are a senior user researcher turning a raw interview transcript into notes the rest of the team can use the same day. <context> I just finished a session and I need structured notes tied to the research questions, with verbatim quotes kept separate from my interpretation. </context> <inputs> - Transcript: [PASTE INTERVIEW TRANSCRIPT] - Research questions: [RESEARCH QUESTIONS] - Participant code: [PARTICIPANT CODE] - Session date: [SESSION DATE] </inputs> <task> Produce structured session notes: a 5-line summary, answers mapped to each research question, notable quotes, and a short list of things that surprised you. Keep observation and interpretation in separate columns. </task> <constraints> Do not invent quotes or tidy spoken language into something the person did not say. If the transcript does not answer a research question, mark it Unanswered. Limit quotes to 8, each short enough to put on a sticky note. </constraints> <format> Return sections: Header (code, date), 5-line Summary, Research Question Notes (table: Question, Observation, Interpretation), Quotes, Surprises, Follow-ups For Next Session. </format>

๐Ÿ’ก

Pro tip: Paste the messy transcript, not a cleaned one. Cleanup often strips the pauses and corrections that tell you the person was unsure.

Draft a moderator opening and wrap-up script

12/30

โœจ What it does

Writes a spoken opening and wrap-up that covers consent, recording, and leftover thoughts.

You are a senior user researcher writing the opening and wrap-up a moderator can say out loud without sounding rehearsed. <context> I need a natural opening that covers consent, recording, and the think-aloud or interview stance, plus a wrap-up that thanks the person and checks leftover thoughts, without eating 10 minutes. </context> <inputs> - Method: [METHOD, E.G. INTERVIEW, USABILITY, CONCEPT TEST] - Recording plan: [RECORDING PLAN] - Incentive: [INCENTIVE] - Sensitive topics, if any: [SENSITIVE TOPICS OR NONE] - Time for opening and close: [MINUTES AVAILABLE] </inputs> <task> Write a spoken opening and a spoken wrap-up. The opening should set expectations, invite honesty, and handle consent. The wrap-up should leave room for anything the participant held back. </task> <constraints> Write in spoken sentences, not bullet policy. Keep the opening under 90 seconds when read aloud. Do not joke about being watched by the team. If sensitive topics are listed, include one line that the person can skip a question. </constraints> <format> Return Opening Script, Consent Check Line, Wrap-up Script, and a 4-item Moderator Reminder list for after the participant leaves. </format>

๐Ÿ’ก

Pro tip: Read the opening out loud once and time it. If you run past 90 seconds, cut the company backstory, not the consent line.

Build a live-session decision tree for off-script moments

13/30

โœจ What it does

Creates a glanceable decision tree for silence, rants, failed tasks, and "what should I do" moments.

You are a senior user researcher building a decision tree a moderator can glance at when a session goes off script. <context> Junior moderators on this study freeze or over-help when a participant goes quiet, rants, or cannot complete a task. I need a short decision tree they can keep next to the guide. </context> <inputs> - Method: [METHOD] - Primary research question: [PRIMARY RESEARCH QUESTION] - Task or topic that usually breaks down: [USUAL BREAKDOWN POINT] - What the team still needs from every session: [MUST-HAVE EVIDENCE] - Time left when things usually go wrong: [MINUTES LEFT WHEN IT BREAKS] </inputs> <task> Write a decision tree for four common moments: long silence, off-topic rant, failed task, and a participant who asks you what to do. For each path, say what to do in the next 20 seconds and what to protect so the session still answers the research question. </task> <constraints> Keep each branch to 3 steps or fewer. Do not tell the moderator to explain the product. If a session cannot be saved, say when to stop early and still pay the incentive. Write in second person commands. </constraints> <format> Return four headed branches. Each branch: Trigger, 3 steps, What You Are Protecting, When To End Early. </format>

๐Ÿ’ก

Pro tip: Sit in on one session and mark which branch actually fired. If a branch never fires, replace it with the moment that did.

Extract quotes tagged to research questions

14/30

โœจ What it does

Pulls short, tagged quotes from a transcript and warns when a line would mislead without context.

You are a senior user researcher pulling quotable evidence from a transcript and tagging each quote to a research question. <context> I am building an evidence wall and I need short, attributable quotes, not a highlight reel of colorful lines that do not answer the study questions. </context> <inputs> - Transcript: [PASTE TRANSCRIPT] - Research questions: [RESEARCH QUESTIONS] - Participant code and segment: [PARTICIPANT CODE AND SEGMENT] - Quote length limit: [MAX WORDS PER QUOTE] </inputs> <task> Pull quotes that actually speak to a research question. Tag each one, note whether it is a behavior, a workaround, a belief, or a feeling, and flag any quote that would be misleading without the surrounding context. </task> <constraints> Stay inside the word limit. Do not stitch two sentences from different parts of the transcript into one quote. If a research question has no usable quote, say None rather than stretching a weak line. Prefer specific stories over general opinions. </constraints> <format> Return a table with columns Quote, Research Question, Type, Context Warning. Group rows by research question. </format>

๐Ÿ’ก

Pro tip: When you paste quotes into slides later, keep the Context Warning column nearby. That is how you avoid a quote that sounds like a product request and was not one.

Flag interviewer bias in a transcript

15/30

โœจ What it does

Reviews a labeled transcript for leading follow-ups and missed probes, with a coaching note.

You are a senior user researcher reviewing a transcript for interviewer bias, leading follow-ups, and missed probes. <context> I want an honest read on how the moderator shaped this session before I treat the notes as clean evidence. </context> <inputs> - Transcript with speaker labels: [PASTE LABELED TRANSCRIPT] - Interview guide: [PASTE INTERVIEW GUIDE] - Research question: [RESEARCH QUESTION] - Moderator experience: [MODERATOR EXPERIENCE LEVEL] </inputs> <task> Find moments where the moderator suggested an answer, praised a preferred behavior, skipped a planned probe, or filled silence with their own theory. For each moment, quote the line and say how it may have changed what came next. </task> <constraints> Be specific and kind. This is a coaching review, not a takedown. Do not flag ordinary acknowledgments such as "mm-hmm" unless they clearly steer. Offer one better line the moderator could have used instead. </constraints> <format> Return a table with columns Timestamp Or Turn, What Happened, Likely Effect, Better Line. End with a 4-line Coaching Note. </format>

๐Ÿ’ก

Pro tip: Run this on your own sessions first. The pattern you hate in junior transcripts is usually a softer version of a habit you still have.

These prompts give you the what. Tutorials give you the why.

Learn when to use extended thinking, how to build Claude Projects, and workflows that compound. 300+ tutorials and growing.

Try AI Academy Free

Synthesis and Theming

5 prompts

Affinity map quotes into themes

16/30

โœจ What it does

Clusters tagged quotes into themes with participant counts and a list of claims that are still too thin.

You are a senior user researcher running an affinity mapping pass on quotes from a completed study. <context> I have quotes from several sessions and I need a first theme map I can take into a synthesis workshop, not a final report. </context> <inputs> - Quotes with participant codes: [PASTE QUOTES WITH CODES] - Research questions: [RESEARCH QUESTIONS] - Number of sessions represented: [NUMBER OF SESSIONS] - Themes the team already suspects: [SUSPECTED THEMES OR NONE] </inputs> <task> Cluster the quotes into themes. Name each theme in plain language, list the supporting quotes, note how many distinct participants appear, and call out outliers that do not fit. </task> <constraints> Do not create a theme from a single participant unless you mark it as an outlier. Do not force quotes into the suspected themes if the evidence points elsewhere. Theme names should describe the user situation, not the product feature. </constraints> <format> Return one block per theme: Theme Name, What It Is, Participant Count, Supporting Quotes, Outliers. End with Themes We Should Not Claim Yet. </format>

๐Ÿ’ก

Pro tip: Hide the suspected themes on the first pass, then compare. If Claude only found what you already believed, run it again without that input.

Build a findings matrix across participants

17/30

โœจ What it does

Fills a participant-by-topic matrix and counts repeating patterns without averaging contradictions.

You are a senior user researcher building a findings matrix so the team can see patterns across people, not just memorable stories. <context> I need a matrix of participants against the main topics so I can see who said what before I write insights. </context> <inputs> - Session notes or quotes by participant: [PASTE NOTES BY PARTICIPANT] - Topics or research questions as columns: [TOPICS OR RESEARCH QUESTIONS] - Participant codes and segments: [CODES AND SEGMENTS] - Empty-cell rule: [WHAT TO WRITE WHEN A TOPIC WAS NOT COVERED] </inputs> <task> Fill a matrix with a short cell for each participant and topic. Use evidence, not slogans. Mark empty cells with the empty-cell rule instead of guessing. </task> <constraints> Each cell must be one or two sentences max. If two participants said opposite things, do not average them. Add a totals row that counts how many participants showed the same pattern, using only filled cells. </constraints> <format> Return a markdown table with participants as rows and topics as columns, then a Pattern Count section listing each repeating pattern and its n. </format>

๐Ÿ’ก

Pro tip: Print the matrix before the insight write-up. If a finding only lives in one colorful column, it is a story, not a pattern.

Separate observation from interpretation

18/30

โœจ What it does

Splits mixed synthesis notes into observation and interpretation pairs and flags weak links.

You are a senior user researcher cleaning a synthesis doc that mixes raw observation with team interpretation. <context> Our working notes blur what people did or said with what we think it means, and I need them split before we present findings. </context> <inputs> - Mixed notes: [PASTE MIXED NOTES] - Research questions: [RESEARCH QUESTIONS] - Product hypotheses already in play: [PRODUCT HYPOTHESES] - Audience who will read the cleaned version: [AUDIENCE] </inputs> <task> Rewrite the notes as paired lines: Observation (what was said or done) and Interpretation (what we think it means). Tag any interpretation that is really a product hypothesis in disguise. </task> <constraints> Do not delete interpretations, just label them. If an observation cannot support the interpretation next to it, mark the pair as Weak Link. Keep the original participant voice in the observation line. </constraints> <format> Return a numbered list of pairs: Observation, Interpretation, Link Strength (strong, medium, weak), Hypothesis Tag if any. End with Interpretations That Need More Evidence. </format>

๐Ÿ’ก

Pro tip: Anything that names a feature or a roadmap item is almost always an interpretation. Move it out of the observation column before the readout.

Draft a journey map from interview evidence

19/30

โœจ What it does

Drafts an evidenced current-state journey map, including workarounds and inferred-versus-seen stages.

You are a senior user researcher drafting a current-state journey map from interview evidence, not from an ideal process the team wishes users followed. <context> I have interviews about a workflow and I need a journey map that shows the real path, including workarounds and drop-offs, so product can see where to intervene. </context> <inputs> - Interview notes or quotes: [PASTE NOTES OR QUOTES] - Job or workflow being mapped: [WORKFLOW NAME] - Start and end of the journey: [START AND END POINTS] - Segments if they differ: [SEGMENTS OR SAME FOR ALL] </inputs> <task> Draft a current-state journey with stages, user actions, thinking, feelings, tools used, and failure points. Note where segments diverge. Cite at least one piece of evidence per stage. </task> <constraints> Do not invent stages that nobody described. If the path is messy, show the mess rather than a clean five-step funnel. Label any stage that is inferred rather than evidenced. Keep feeling labels tied to a quote or behavior. </constraints> <format> Return a stage table with columns Stage, Actions, Thinking, Feelings, Tools, Failure Points, Evidence. Add a short Divergences By Segment note. </format>

๐Ÿ’ก

Pro tip: If a stage has no evidence line, delete it or mark it inferred. Empty stages are how journey maps turn into process diagrams.

Score the evidence strength behind a hypothesized insight

20/30

โœจ What it does

Scores a hypothesized insight against supporting and contradicting evidence and rewrites the claim to match.

You are a senior user researcher stress-testing a hypothesized insight before it goes into a readout. <context> Someone on the team is already repeating a finding and I want a clear score on how much evidence actually supports it, so we do not ship a story as a fact. </context> <inputs> - Hypothesized insight: [HYPOTHESIZED INSIGHT] - Supporting notes or quotes: [SUPPORTING EVIDENCE] - Contradicting notes or quotes: [CONTRADICTING EVIDENCE OR NONE] - Sample size and mix: [SAMPLE SIZE AND MIX] </inputs> <task> Score the insight on evidence strength, say what would change the score, and rewrite the claim so it matches the evidence you actually have. </task> <constraints> Use a simple scale: strong, moderate, weak, unsupported. Do not protect a popular insight if the evidence is thin. If contradicting evidence exists, the rewritten claim must acknowledge it. Do not add new data. </constraints> <format> Return sections: Score, Why This Score, What Would Raise It, What Would Lower It, Claim You Can Defend, Claim You Should Drop. </format>

๐Ÿ’ก

Pro tip: Send the Claim You Can Defend line to the stakeholder who has been repeating the stronger version. That is usually enough to reset the story.

Insight Write-ups

5 prompts

Write a one-page insight memo for product

21/30

โœจ What it does

Writes a sub-400-word insight memo that leads with the product decision and confidence on each finding.

You are a senior user researcher writing a one-page insight memo a product manager can read before a planning meeting. <context> The study is synthesized and I need a one-page memo that states what we learned, how sure we are, and what decision it should change, without a 20-slide dump. </context> <inputs> - Study goal: [STUDY GOAL] - Key findings with n: [KEY FINDINGS WITH N] - Decision this memo should inform: [PRODUCT DECISION] - Open questions left: [OPEN QUESTIONS] - Audience: [AUDIENCE, E.G. PM, DESIGN, ENG] </inputs> <task> Write a one-page memo with the decision up front, the 3 to 5 findings that matter for that decision, the confidence behind each, and the questions the team should not pretend are closed. </task> <constraints> Lead with the decision, not the method. Keep the whole memo under 400 words. Every finding needs an n or a clear "single case" label. Do not add recommendations that the findings do not support. </constraints> <format> Return: Decision This Informs, Findings (numbered, each with n and confidence), What We Are Not Claiming, Suggested Next Step (one line). </format>

๐Ÿ’ก

Pro tip: If the Suggested Next Step wants another study, say what decision is blocked without it. Open-ended "we should learn more" memos get ignored.

Draft a finding with evidence, implication, and recommendation

22/30

โœจ What it does

Writes one finding card that keeps evidence, implication, and recommendation on separate layers.

You are a senior user researcher writing a single finding in the evidence, implication, recommendation pattern. <context> I have a theme that is solid enough to write up and I need one finding card the team can put in a readout without mixing the three layers. </context> <inputs> - Theme or pattern: [THEME OR PATTERN] - Evidence including n and quotes: [EVIDENCE, N, QUOTES] - Product area affected: [PRODUCT AREA] - Recommendation options already on the table: [OPTIONS ON THE TABLE OR NONE] </inputs> <task> Write one finding with a short headline, the evidence, the implication for the product area, and a recommendation that is sized to the evidence. If the options on the table do not fit, say so and propose one alternative. </task> <constraints> The headline must be a sentence a skeptic can test, not a slogan. Keep evidence and implication in separate paragraphs. If n is small, the recommendation should be a test or a scoped change, not a full rebuild. Do not invent quotes. </constraints> <format> Return five blocks: Headline, Evidence, Implication, Recommendation, Confidence And Limits. </format>

๐Ÿ’ก

Pro tip: Read only the headline to a teammate who did not see the study. If they cannot tell what would prove it wrong, rewrite the headline.

Turn synthesis into a share-out slide outline

23/30

โœจ What it does

Turns synthesis notes into a timeboxed share-out outline with one finding per slide.

You are a senior user researcher outlining a 20-minute research share-out for a mixed product audience. <context> I have synthesis notes and I need a slide outline that gets to the decision, shows enough evidence to be trusted, and leaves time for questions, instead of a tour of every session. </context> <inputs> - Synthesis notes: [PASTE SYNTHESIS NOTES] - Decision or question for the room: [DECISION FOR THE ROOM] - Audience mix: [AUDIENCE MIX] - Time slot: [MINUTES AVAILABLE] - Findings you must include: [MUST-INCLUDE FINDINGS] </inputs> <task> Write a slide-by-slide outline with a title, the point of the slide, the evidence to show, and a suggested visual. Timebox the outline to the slot, including 5 minutes for discussion. </task> <constraints> No more than 12 slides of content. Method belongs on one slide, not three. Do not put more than one finding on a slide. If a must-include finding does not serve the decision, park it in an appendix note rather than the main flow. </constraints> <format> Return a numbered slide list. Each item: Slide Title, Point, Evidence To Show, Visual, Minutes. End with Appendix Ideas. </format>

๐Ÿ’ก

Pro tip: Cut the method slide if the room already commissioned the study. Use that minute for the finding they will argue with.

Write an opportunity brief from a cluster of pain points

24/30

โœจ What it does

Frames a pain-point cluster as an opportunity brief with success signals and no UI prescription.

You are a senior user researcher turning a cluster of pain points into an opportunity brief product and design can pick up. <context> We keep restating the same pains in standups and I want a brief that frames the opportunity, the users who feel it, and the outcomes that would tell us we fixed it, without specifying the UI. </context> <inputs> - Pain point cluster: [PASTE PAIN POINTS AND EVIDENCE] - Users affected: [USERS AFFECTED] - Current workarounds: [CURRENT WORKAROUNDS] - Business or product goal this could serve: [PRODUCT GOAL] - What is out of scope: [OUT OF SCOPE] </inputs> <task> Write an opportunity brief that states the problem in user terms, who is affected, why it matters now, success signals, and the risks of solving the wrong slice. </task> <constraints> Do not prescribe screens, components, or copy. Keep the brief under 350 words. Every claim about severity needs a pointer back to the evidence. If the cluster actually contains two opportunities, split them. </constraints> <format> Return: Opportunity Statement, Who Feels It, Why Now, Success Signals, Risks And Splits, Evidence Pointers. </format>

๐Ÿ’ก

Pro tip: If the brief still names a widget, you jumped to solution. Delete that sentence and rewrite the success signal as a user outcome.

Translate findings into backlog-ready problem statements

25/30

โœจ What it does

Turns findings into backlog-ready problem statements with outcomes, and parks claims that are not ready.

You are a senior user researcher translating research findings into problem statements a product trio can drop into the backlog. <context> Engineering and product asked for research output they can ticket, and I need problem statements that keep the user problem intact instead of jumping to a feature request. </context> <inputs> - Findings: [PASTE FINDINGS] - Product area: [PRODUCT AREA] - Current backlog language style: [STORY STYLE, E.G. USER STORY, PROBLEM STATEMENT] - What must not be prescribed: [SOLUTIONS TO AVOID] </inputs> <task> Write 3 to 6 backlog-ready problem statements. Each should name the user, the situation, the evidence pointer, and a testable outcome, without naming a solution from the avoid list. </task> <constraints> One problem per statement. If a finding is not ready to ticket, put it in a Parking Lot with the missing evidence. Do not inflate severity. Match the team's story style without turning the statement into a fake "As a user I want this button". </constraints> <format> Return a numbered list of problem statements, each with Evidence Pointer and Outcome. End with a Parking Lot. </format>

๐Ÿ’ก

Pro tip: Hand the Parking Lot to the PM with the tickets. It stops the team from quietly turning a thin finding into a committed story.

Most people use 10% of Claude. Tutorials unlock the rest.

AI Academy: 300+ hands-on tutorials on Claude, ChatGPT, Midjourney, and 50+ AI tools. New tutorials added every week.

Start Your Free Trial

Research Planning and Stakeholder Briefs

5 prompts

Write a research plan from a product decision

26/30

โœจ What it does

Writes a decision-first research plan with sample, timeline, out-of-scope, and kill criteria.

You are a senior user researcher writing a research plan that starts from the decision, not from a method someone already picked. <context> A product team asked for research and I need a plan that names the decision, the questions, the method, the sample, and what would make the study a waste of time. </context> <inputs> - Product decision to inform: [PRODUCT DECISION] - What the team already believes: [CURRENT BELIEFS] - Constraints: [TIME, BUDGET, ACCESS CONSTRAINTS] - Users they can actually reach: [REACHABLE USERS] - Deadline for the readout: [READOUT DEADLINE] </inputs> <task> Write a research plan with the decision, 3 to 5 research questions, a recommended method, a sample, a timeline that hits the deadline, and a section on what this study will not answer. </task> <constraints> Pick one primary method. If the decision needs two methods, say so and sequence them. Do not propose a sample the team cannot reach. If the deadline is too tight for the decision, say what can be learned in time and what should slip. </constraints> <format> Return: Decision, Research Questions, Method And Why, Sample, Timeline, Will Not Answer, Kill Criteria (when to stop the study early). </format>

๐Ÿ’ก

Pro tip: The Will Not Answer section is the one to walk through live. That is how you stop a plan from growing three extra questions in the kickoff.

Draft a kickoff brief for stakeholders

27/30

โœจ What it does

Produces a one-page kickoff brief with observer rules, owners, and a freeze date for new questions.

You are a senior user researcher writing a kickoff brief so stakeholders stop adding questions in Slack the night before fielding. <context> I am kicking off a study with product, design, and a sponsor, and I need a brief that locks the decision, the questions, the sample, and the ways they can observe without breaking sessions. </context> <inputs> - Study name: [STUDY NAME] - Decision and research questions: [DECISION AND QUESTIONS] - Sample and method: [SAMPLE AND METHOD] - Field dates: [FIELD DATES] - How stakeholders may observe: [OBSERVATION RULES] </inputs> <task> Write a one-page kickoff brief covering purpose, questions that are in, questions that are out, the sample, the calendar, observer rules, and what you need from each role before fielding. </task> <constraints> Keep it under 350 words. Be explicit about late question adds: after which date they wait for the next study. Do not invite observers to jump into the call. Name owners for recruit, guide, and readout. </constraints> <format> Return: Purpose, In Scope, Out Of Scope, Sample, Calendar, Observer Rules, Asks By Role, Freeze Date For New Questions. </format>

๐Ÿ’ก

Pro tip: Put the freeze date on the calendar invite, not only in the brief. People remember invites.

Scope a study when stakeholders want too many questions

28/30

โœจ What it does

Sorts a bloated question list into keep, cut, and later, with a Slack-ready note for sponsors.

You are a senior user researcher cutting a bloated question list down to what one study can answer well. <context> Stakeholders sent a long list of things they want to learn and I need a scoped set that still serves the main decision, plus a clear parking lot they can see. </context> <inputs> - Main product decision: [MAIN DECISION] - Full question list: [PASTE FULL QUESTION LIST] - Method and session length: [METHOD AND SESSION LENGTH] - Sample size: [SAMPLE SIZE] - Deadline: [DEADLINE] </inputs> <task> Sort every question into Keep, Cut, or Later Study. For Keep items, show how they fit the session length. For Cut and Later, give a one-line reason a sponsor will accept. </task> <constraints> A 60-minute interview can hold about 4 topic areas, not 12. Do not keep a question just because a senior person asked it. If two questions are the same idea in different words, merge them. Be polite and direct. </constraints> <format> Return three lists: Keep (with topic and minutes), Cut (with reason), Later Study (with the decision that study would serve). Add a 4-line note you can paste into Slack. </format>

๐Ÿ’ก

Pro tip: Send the Slack note before the scoping meeting, not after. People argue less when they have already seen the later-study home for their question.

Write a readout agenda and pre-read

29/30

โœจ What it does

Creates a 5-minute pre-read and a timed readout agenda that ends with an explicit next decision.

You are a senior user researcher writing the agenda and pre-read for a research readout so the meeting is a decision conversation, not a first viewing of the slides. <context> The readout is on the calendar and I need a 1-page pre-read plus a timed agenda that forces a decision, including who must be in the room. </context> <inputs> - Study name and decision: [STUDY NAME AND DECISION] - Top findings: [TOP FINDINGS] - Meeting length: [MEETING LENGTH IN MINUTES] - Required attendees: [REQUIRED ATTENDEES] - Decision owner: [DECISION OWNER] </inputs> <task> Write a pre-read the decision owner can finish in 5 minutes, and a timed agenda that spends more time on implications than on method. Include a closing prompt that asks the decision owner to say what they will do next. </task> <constraints> Pre-read under 250 words. Agenda must include discussion time, not only presentation. Do not hide bad news for the live meeting if it is already in the findings. Name a backup owner if the decision owner is out. </constraints> <format> Return: Pre-read (plain text), Timed Agenda, Required In The Room, Closing Prompt For The Decision Owner. </format>

๐Ÿ’ก

Pro tip: Send the pre-read the morning before, not the morning of. Same-day pre-reads get opened during your first slide.

Turn conflicting stakeholder requests into a research priority list

30/30

โœจ What it does

Ranks conflicting research requests by decision impact and drafts the deferral message.

You are a senior user researcher mediating conflicting research requests from two or more stakeholders who all want the next study slot. <context> I have more requests than I can field this cycle and I need a priority list based on the decision each request would change, not based on who asked first or loudest. </context> <inputs> - Request A: [STAKEHOLDER A AND REQUEST] - Request B: [STAKEHOLDER B AND REQUEST] - Extra requests if any: [OTHER REQUESTS OR NONE] - Capacity this cycle: [STUDIES OR HOURS AVAILABLE] - Company or product priorities this quarter: [QUARTER PRIORITIES] </inputs> <task> Score each request on decision impact, urgency, and whether research is the right tool. Recommend what to run now, what to wait on, and what to decline because a desk review or analytics pull would do. </task> <constraints> Apply the same criteria to every request. If two requests can share one study, say how. If the honest answer is that a request is a design critique dressed as research, name that. Write a short message you can send to the people you are deferring. </constraints> <format> Return a score table (Request, Decision Impact, Urgency, Right Tool, Rank), a Now / Wait / Decline list, and a Deferral Message. </format>

๐Ÿ’ก

Pro tip: Use the Deferral Message as written only after you swap in the real names. The ranking table is what you keep for yourself when the conversation gets political.

Free tool

Prompt Optimizer

Turn a rough idea into a structured, professional AI prompt.

Try it free โ†’

Frequently Asked Questions

No. Use it to draft guides, screeners, notes, and write-ups. A person still has to recruit, moderate, notice when a session is going sideways, and decide what the team should do with the evidence.
Paste the labeled transcript, not a summary. Include speaker names or codes, and cut only the small talk at the start if you need space. Summaries hide the leading questions and the weak quotes you need Claude to catch.
They will if you let them. The synthesis and insight prompts ask for n and for contradicting evidence. If a cell is empty, write Unanswered or None in the input so the model cannot backfill a pattern.
Run the observation-versus-interpretation prompt on your notes before the memo prompt. Anything that names a feature, a quarter goal, or a roadmap item should sit in interpretation, not in the finding headline.
Start with the research plan from a product decision. If the request has no decision in it, stop there and send the Will Not Answer section back to the requester before you write a guide or a screener.

Prompts are the starting line. Tutorials are the finish.

A growing library of 300+ hands-on tutorials on ChatGPT, Claude, Midjourney, and 50+ AI tools. New tutorials added every week.

7-day free trial. Cancel anytime.