Prompt Library

ChatGPT Prompts for UX Designers

30 copy-paste prompts

Thirty structured, copy-paste prompts that help you plan research, build personas, write wireframe briefs, run usability evaluations, sharpen critiques, and document design systems faster.

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. Drafted with AI writing assistance and checked against our editorial policy.

Louis Corneloup
By Louis Corneloup · Founder, Techpresso
Last updated ·Drafted with AI assistance (how we make prompts)

User Research

5 prompts

Discovery Interview Guide

1/30

✨ What it does

ChatGPT writes a 45-minute discovery interview guide for [USER] of [PRODUCT] doing [FLOW], with a warm-up and non-leading questions. You book the sessions, then run the guide without adding leading probes.

<context> I am a UX designer planning generative research for [PRODUCT], used by [USER] to accomplish [FLOW]. We are in early discovery and want to understand needs, mental models, and pain points without leading the participant. </context> <task> 1. Write a 45-minute semi-structured interview guide with a warm-up, 4-6 thematic sections, and a wrap-up. 2. For each section, provide 3-4 open, non-leading questions plus 2 optional follow-up probes. 3. Map every question to the underlying research objective it answers. 4. Flag any question that risks bias and suggest a neutral rewrite. 5. End with a participant consent and recording-permission script. </task>

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Pro tip: After the first draft, paste in your actual research questions and ask ChatGPT to re-order sections by logical flow and cut redundant questions.

Screener Survey Builder

2/30

✨ What it does

ChatGPT drafts an 8-12 question screener for [PRODUCT] research so you keep [USER] who actually does [FLOW] and drop professionals and competitors. You load the survey, then review the first batch of replies by hand.

<context> I need to recruit qualified participants for research on [PRODUCT]. The ideal [USER] regularly performs [FLOW]; I must screen out professionals, competitors, and people who do not match the behavior we care about. </context> <task> 1. Draft a screener survey of 8-12 questions covering demographics, behavior frequency, and disqualifying criteria. 2. For each question, mark which answer options qualify, disqualify, or quota-balance the sample. 3. Use behavioral questions (what they did) over attitudinal ones (what they think) wherever possible. 4. Recommend target quotas across the key segments. 5. List 3 fraud-detection or attention-check questions to filter low-quality respondents. </task>

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Pro tip: Ask ChatGPT to output the screener as a table with a Logic column so you can paste it straight into a survey tool.

Research Plan One-Pager

3/30

✨ What it does

ChatGPT writes a one-page research plan for [PRODUCT] with [USER] that ties questions to [FLOW] decisions and justifies the method. You share it with leadership, then start only after they agree the questions matter.

<context> I must align stakeholders before researching [PRODUCT] with [USER]. Leadership wants to know why, what, and how this research will inform [FLOW] decisions. </context> <task> 1. Write a one-page research plan with background, problem statement, and 3-5 research questions. 2. Recommend the most appropriate method (interviews, diary study, survey, usability test) and justify the choice. 3. Define participant criteria, sample size, timeline, and required tools. 4. State the decisions this research will unblock and the risk of not doing it. 5. List measurable success criteria for the study. </task>

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Pro tip: Tell ChatGPT your team's seniority and time budget so it scopes the method realistically instead of proposing an ideal-world study.

Interview Note Synthesizer

4/30

✨ What it does

ChatGPT clusters your pasted notes about [USER] and [PRODUCT] into 5-8 themes on [FLOW], with quotes and counts, without inventing findings. You paste the transcripts, then drop any theme that is only one person.

<context> I just finished interviews about [PRODUCT] with several [USER] participants. I will paste raw notes or transcripts. I need to find patterns about [FLOW] without inventing findings. </context> <task> 1. Wait for me to paste the notes, then cluster observations into 5-8 themes. 2. For each theme, give a short name, a one-line summary, supporting verbatim quotes, and how many participants mentioned it. 3. Separate observations (what was said) from interpretations (what it might mean) and label each. 4. Surface contradictions or outliers worth investigating. 5. Propose 3 prioritized opportunity areas grounded only in the data. </task>

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Pro tip: Paste notes in batches and ask ChatGPT to keep a running theme list so it does not lose earlier patterns across long transcripts.

Survey Question Designer

5/30

✨ What it does

ChatGPT drafts 12-15 unbiased survey questions for [USER] about [PRODUCT] and [FLOW], with balanced scales and a clean order. You test the survey on one teammate, then send it to the list.

<context> I am writing a survey to measure attitudes and behaviors of [USER] toward [PRODUCT] and the [FLOW] experience. I want valid, unbiased questions and clean scales. </context> <task> 1. Draft 12-15 survey questions mixing single-select, multi-select, and Likert scales. 2. For every Likert item, use a balanced, labeled scale and avoid double-barreled wording. 3. Add 2 open-ended questions for qualitative depth. 4. Order questions to reduce priming and place sensitive items last. 5. Flag any leading, loaded, or ambiguous question and provide a corrected version. </task>

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Pro tip: Ask ChatGPT to estimate completion time so you can trim the survey to under 5 minutes and protect response rates.

Personas & Journey Maps

5 prompts

Evidence-Based Persona

6/30

✨ What it does

ChatGPT builds one behavioral persona for [USER] of [PRODUCT] from the findings you paste, with goals, frustrations, and design implications. You paste the research first, then share the persona only if the evidence still holds.

<context> I have research insights about [USER] who use [PRODUCT]. I will paste key findings. I want a behavioral persona grounded in data, not demographic stereotypes. </context> <task> 1. Wait for my research findings, then build a single primary persona. 2. Include goals, motivations, behaviors, frustrations, context of use, and a representative quote. 3. Anchor every persona attribute to a specific finding I provided and note where evidence is thin. 4. Avoid demographic filler that does not affect design decisions. 5. Add a short 'design implications' section translating the persona into 3 actionable UX priorities. </task>

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Pro tip: Tell ChatGPT to mark any attribute it inferred without data as ASSUMPTION so you can validate it before sharing the persona.

Current-State Journey Map

7/30

✨ What it does

ChatGPT maps how [USER] currently completes [FLOW] with [PRODUCT] across 5-8 stages, with actions, emotions, and pain points. You correct any stage that is not real, then mark the worst moments to fix.

<context> I am mapping how [USER] currently completes [FLOW] with [PRODUCT], including the messy parts before and after they touch our product. </context> <task> 1. Break [FLOW] into 5-8 sequential stages from trigger to outcome. 2. For each stage, describe user actions, thoughts, emotions, touchpoints, and pain points. 3. Plot an emotional curve and call out the lowest moments. 4. Identify the 3 highest-impact friction points and the evidence behind each. 5. Suggest one opportunity per top friction point. </task>

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Pro tip: Ask ChatGPT to format the map as a markdown table with one column per stage so it drops cleanly into FigJam or a doc.

Future-State Journey Vision

8/30

✨ What it does

ChatGPT redesigns each stage of [FLOW] for [USER] in [PRODUCT] as a future-state journey, pairing each improvement with a design move. You keep the few moves you can ship, then sketch those first.

<context> I want to design an improved experience for [USER] completing [FLOW] in [PRODUCT]. I have the current-state pain points and want a credible future-state vision. </context> <task> 1. Re-imagine each stage of [FLOW] showing the ideal user actions, emotions, and touchpoints. 2. For each improvement, name the friction it removes and the design move that enables it. 3. Keep the vision realistic for a mid-size product team, not science fiction. 4. Highlight 3 quick wins versus 2 larger bets. 5. Note assumptions that must be validated before building. </task>

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Pro tip: Provide your tech and resourcing constraints up front so ChatGPT keeps the future state buildable rather than aspirational.

Empathy Map Generator

9/30

✨ What it does

ChatGPT fills a Says, Thinks, Does, Feels empathy map for [USER] on [PRODUCT] during [FLOW], plus pains and gains, and marks guesses. You replace guessed lines with quotes, then hang the map in the critique.

<context> I need an empathy map for [USER] interacting with [PRODUCT] during [FLOW] to align my team on the user's perspective. </context> <task> 1. Produce a four-quadrant empathy map: Says, Thinks, Does, Feels. 2. Populate each quadrant with 4-6 specific, research-grounded entries. 3. Add a Pains and a Gains section beneath the quadrants. 4. Flag any entry that is an assumption versus an observed behavior. 5. End with 3 design questions the empathy map raises. </task>

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Pro tip: Paste two or three real user quotes first so ChatGPT grounds the Says and Thinks quadrants in authentic language.

Persona Pain-to-Feature Map

10/30

✨ What it does

ChatGPT maps the top pains of [USER] on [PRODUCT] around [FLOW] to one or two feature ideas each, rated without over-promising. You keep the high-pain ideas, then park the rest for later research.

<context> I have a persona for [USER] of [PRODUCT] with known pains around [FLOW]. I want to connect those pains to potential features without over-promising. </context> <task> 1. List the persona's top 5 pains in priority order. 2. For each pain, propose 1-2 feature or design ideas that directly address it. 3. Rate each idea on user impact and rough effort (high/medium/low). 4. Recommend which ideas to validate first and how. 5. Flag any feature that solves a problem the persona does not actually have. </task>

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Pro tip: Ask ChatGPT to present the result as an impact-versus-effort table so you can sort candidates into a quick prioritization grid.

Wireframe & IA Briefs

5 prompts

Wireframe Brief Writer

11/30

✨ What it does

ChatGPT writes a wireframe brief for the [PRODUCT] screen where [USER] does [FLOW], with the primary action, content order, and edge states. You open the design tool only after that brief, then lay out from the priority list.

<context> I am about to wireframe a screen in [PRODUCT] where [USER] performs [FLOW]. I want a clear brief before I open the design tool so the layout serves the task. </context> <task> 1. Define the screen's primary goal and the single most important user action. 2. List required content and UI elements in priority order. 3. Recommend a layout structure and visual hierarchy from most to least important. 4. Note states to design: empty, loading, error, and success. 5. List 3 usability risks for this screen and how the layout can mitigate them. </task>

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Pro tip: Ask ChatGPT for a low-fidelity ASCII or text layout sketch so you can sanity-check structure before drawing pixels.

Information Architecture Draft

12/30

✨ What it does

ChatGPT drafts a first-pass information architecture for [PRODUCT] so [USER] can complete [FLOW], with 4-7 nav categories, a two-level sitemap, and a validation plan. You card-sort the labels with users, then rename anything that confuses them.

<context> I am organizing the navigation and content structure of [PRODUCT] so [USER] can easily complete [FLOW] and find related tasks. </context> <task> 1. Propose a top-level navigation with 4-7 primary categories and rationale for each. 2. Outline a sitemap two levels deep showing where key flows live. 3. Apply clear, user-language labels and avoid internal jargon. 4. Flag any content that could belong in multiple places and recommend a home. 5. Suggest a card-sort study to validate the structure with real users. </task>

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Pro tip: Tell ChatGPT to use your users' vocabulary, not company terms, and to list any label it is unsure about for a quick tree test.

User Flow Mapper

13/30

✨ What it does

ChatGPT maps the [FLOW] for [USER] in [PRODUCT] as a numbered happy path with branches, errors, and recovery. You walk it on the current product, then cut any step that adds friction.

<context> I need to map the step-by-step user flow for [USER] completing [FLOW] in [PRODUCT], including decision points and error paths. </context> <task> 1. Lay out the happy-path flow as a numbered sequence of screens and actions. 2. Mark every decision point and branch with its condition. 3. Add error and recovery paths for the most likely failure points. 4. Identify steps that could be removed or combined to reduce friction. 5. Output the flow in a format I can recreate in a flow-diagram tool. </task>

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Pro tip: Ask ChatGPT to express the flow in Mermaid syntax so you can paste it into a diagram tool and get an instant visual.

Content Prioritization Brief

14/30

✨ What it does

ChatGPT classifies content on the [PRODUCT] screen for [USER] doing [FLOW] as essential, supporting, or optional, plus what sits above the fold. You hide the optional bits, then check the screen on a phone.

<context> I have a content-heavy screen in [PRODUCT] for [USER] doing [FLOW] and I need to decide what to show, hide, or defer. </context> <task> 1. Classify each content element as essential, supporting, or optional for the primary task. 2. Recommend what belongs above the fold versus progressively disclosed. 3. Suggest where to use scanning patterns, grouping, or summarization. 4. Identify content that adds cognitive load without aiding the task. 5. Provide a prioritized content order for both mobile and desktop. </task>

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Pro tip: Paste the actual content list and ask ChatGPT to rank each item, so the prioritization reflects your real screen, not a generic one.

Responsive Layout Planner

15/30

✨ What it does

ChatGPT plans how [FLOW] in [PRODUCT] for [USER] reflows on mobile, tablet, and desktop, including nav and primary actions. You wireframe the three breakpoints, then test the mobile version with a thumb.

<context> I am designing [FLOW] in [PRODUCT] for [USER] across mobile, tablet, and desktop and want a responsive layout strategy before wireframing. </context> <task> 1. Recommend a layout approach for each breakpoint and what changes between them. 2. Specify how navigation, primary actions, and content reflow per device. 3. Identify touch-target, thumb-reach, and readability considerations for mobile. 4. Note any element that should be hidden, collapsed, or reordered on small screens. 5. List the 3 most likely responsive bugs to test for. </task>

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Pro tip: State your minimum supported screen width so ChatGPT tailors thumb-reach and reflow advice to your real device targets.

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Usability Evaluation

5 prompts

Usability Test Script

16/30

✨ What it does

ChatGPT writes a moderated usability script for [USER] attempting [FLOW] in [PRODUCT], with a think-aloud intro, scenario tasks, and success criteria. You run the same script each session, then compare notes.

<context> I am running a moderated usability test of [PRODUCT] where [USER] attempts [FLOW]. I need a script that produces clean, comparable observations across sessions. </context> <task> 1. Write an intro that sets a think-aloud expectation and reassures the participant we are testing the product, not them. 2. Create 4-6 realistic, scenario-based tasks for [FLOW] with clear success criteria. 3. Keep task wording neutral so it does not reveal the path or hint at the answer. 4. Add probing follow-up questions to ask after each task. 5. End with post-test rating questions and an open debrief. </task>

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Pro tip: Ask ChatGPT to rewrite any task that names a button or menu, since those leak the solution and invalidate the test.

Heuristic Evaluation Checklist

17/30

✨ What it does

ChatGPT turns Nielsen's 10 heuristics into concrete checks for [FLOW] in [PRODUCT] used by [USER], plus a 0-4 severity scale. You walk the flow with that list, then log each issue with a rating.

<context> I am doing an expert review of [FLOW] in [PRODUCT] used by [USER] and want to apply Nielsen's 10 heuristics systematically. </context> <task> 1. For each of the 10 usability heuristics, list 2-3 concrete checks specific to [FLOW]. 2. Provide a severity scale (0-4) with definitions for rating any issue found. 3. Suggest where each heuristic most commonly breaks in flows like this. 4. Give me a table to log issue, heuristic, severity, location, and recommendation. 5. Recommend how to convert findings into a prioritized fix list. </task>

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Pro tip: After your review, paste your raw issue list back and ask ChatGPT to assign severities consistently and sort by priority.

Usability Findings Report

18/30

✨ What it does

ChatGPT turns your raw observations from testing [PRODUCT] [FLOW] with [USER] into a prioritized findings report with evidence and fixes. You paste the notes, then send the summary to stakeholders.

<context> I finished usability testing [PRODUCT] on [FLOW] with [USER] and have observations to turn into a credible, stakeholder-friendly report. </context> <task> 1. Wait for my raw observations, then group them into prioritized findings. 2. For each finding, state the issue, evidence, affected users, severity, and a recommended fix. 3. Lead with an executive summary of the top 3 issues and overall task success. 4. Separate must-fix issues from nice-to-haves. 5. Keep tone objective and avoid blaming users or designers. </task>

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Pro tip: Tell ChatGPT who the audience is (execs vs engineers) so it adjusts depth and language for that reader.

Accessibility Quick Audit

19/30

✨ What it does

ChatGPT lists WCAG 2.2 AA checks for [FLOW] in [PRODUCT] for [USER], with how to test each one by hand. You run those checks on the live flow, then file the fails before a formal audit.

<context> I want a first-pass accessibility review of [FLOW] in [PRODUCT] for [USER], aligned to WCAG 2.2 AA before a formal audit. </context> <task> 1. List the most relevant WCAG 2.2 AA checks for this flow across perceivable, operable, understandable, and robust. 2. For each check, describe how to test it manually and what failure looks like. 3. Highlight common issues for forms, color contrast, focus order, and keyboard navigation. 4. Recommend assistive-tech scenarios (screen reader, keyboard-only) to walk through. 5. Output a checklist I can run in under an hour. </task>

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Pro tip: Ask ChatGPT to flag which checks a tool like axe can automate versus which require manual testing, so you focus your time.

A/B Test Hypothesis Designer

20/30

✨ What it does

ChatGPT turns the suspected friction in [FLOW] within [PRODUCT] into a falsifiable A/B hypothesis for [USER], with primary and guardrail metrics. You lock the success rule, then ship the control and variant.

<context> I suspect a friction point in [FLOW] within [PRODUCT] is hurting [USER] completion and want to design a sound A/B test. </context> <task> 1. Help me turn the suspected problem into a clear, falsifiable hypothesis. 2. Define the primary metric, guardrail metrics, and what success looks like. 3. Propose a control and 1-2 variant concepts that isolate one change each. 4. Note sample-size and duration considerations at a high level. 5. List confounds or biases that could invalidate the result. </task>

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Pro tip: Give ChatGPT your rough traffic numbers so its sample-size guidance is grounded instead of generic.

Design Critique

5 prompts

Structured Design Critique

21/30

✨ What it does

ChatGPT critiques your [FLOW] design in [PRODUCT] for [USER] on clarity, hierarchy, consistency, access, and task fit, with a fix per issue. You describe the design first, then apply the fixes that would change the task.

<context> I will describe or paste a design for [FLOW] in [PRODUCT] used by [USER] and want a structured, constructive critique rather than vague opinions. </context> <task> 1. Wait for my design description, then critique it against clarity, hierarchy, consistency, accessibility, and task fit. 2. For each issue, explain the underlying UX principle and the likely user impact. 3. Separate critical problems from minor polish items. 4. Offer at least one concrete improvement per issue, not just criticism. 5. Note what the design does well so feedback stays balanced. </task>

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Pro tip: Describe the user goal and constraints first, so ChatGPT critiques against the real objective instead of generic best practice.

Critique Feedback Reframer

22/30

✨ What it does

ChatGPT reframes your rough notes on [PRODUCT] and [FLOW] into kind, specific feedback using observe, why it matters, and what to try. You paste the raw notes, then send the rewritten comments to your teammate.

<context> I need to give a teammate critique on their work for [PRODUCT] and [FLOW]. I have rough notes and want to deliver them constructively without crushing morale. </context> <task> 1. Wait for my raw feedback notes, then reframe each into clear, kind, specific language. 2. Use a what-I-observe, why-it-matters, what-I-suggest structure. 3. Tie feedback to user impact and shared goals, not personal taste. 4. Phrase subjective points as questions or options rather than mandates. 5. Keep a respectful, collaborative tone throughout. </task>

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Pro tip: Ask ChatGPT to keep your most important point first and limit the list to the top 3-4 items so the critique stays focused.

Self-Critique Pre-Review

23/30

✨ What it does

ChatGPT gives you a self-critique checklist and pointed questions for your [FLOW] design in [PRODUCT] for [USER] before you share it. You answer those questions honestly, then fix the weak spots before review.

<context> Before I share my design for [FLOW] in [PRODUCT] with [USER], I want to pressure-test it myself and catch weaknesses early. </context> <task> 1. Generate a self-critique checklist covering user goal fit, hierarchy, edge cases, and accessibility. 2. Ask me pointed questions a senior designer would raise in review. 3. Identify the 3 most likely objections stakeholders will have and how to pre-empt them. 4. Surface assumptions baked into the design that I should validate. 5. Suggest what evidence to bring to defend key decisions. </task>

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Pro tip: Answer ChatGPT's questions out loud or in text, then ask it to point out which of your answers are weakest.

Design Rationale Articulator

24/30

✨ What it does

ChatGPT turns your key decisions for [FLOW] in [PRODUCT] into rationale tied to [USER] needs, plus likely pushback and replies. You list the decisions first, then use those replies in the stakeholder meeting.

<context> I made specific design choices for [FLOW] in [PRODUCT] and need to explain the rationale clearly to [USER] stakeholders who may push back. </context> <task> 1. Wait for me to list my key decisions, then articulate the reasoning behind each. 2. Tie each decision to user needs, research, or a UX principle. 3. Acknowledge trade-offs and explain why the chosen path wins. 4. Prepare a concise response to the 3 most likely counterarguments. 5. Keep explanations jargon-free for non-designers. </task>

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Pro tip: Tell ChatGPT which stakeholder is most skeptical so it tailors the rationale to that person's priorities.

Competitor UX Teardown

25/30

✨ What it does

ChatGPT tears down 1-3 competitor versions of [FLOW] to inform [PRODUCT] for [USER], with what to learn and what not to copy. You describe each competitor, then steal only the usable patterns.

<context> I want to critique how competitors handle [FLOW] to inform my design for [PRODUCT] and [USER], focusing on what to learn rather than copy. </context> <task> 1. Wait for me to describe 1-3 competitor experiences for [FLOW]. 2. Evaluate each on usability, clarity, and how well it serves the user goal. 3. Identify patterns worth adopting and anti-patterns to avoid. 4. Note where a competitor strength may not transfer to our context. 5. Summarize 3 actionable takeaways for my own design. </task>

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Pro tip: Paste real screenshots descriptions or flow steps so ChatGPT critiques specifics instead of guessing how the competitor works.

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Design Systems & Documentation

5 prompts

Component Documentation Writer

26/30

✨ What it does

ChatGPT writes component docs for [PRODUCT] so [USER] designers and engineers use it correctly in [FLOW], covering anatomy, variants, and do and don't. You describe the component first, then paste the docs into the system.

<context> I am documenting a component in [PRODUCT]'s design system so [USER] designers and engineers use it correctly within [FLOW]. </context> <task> 1. Wait for me to describe the component, then write its documentation. 2. Include purpose, anatomy, variants, states, and props or options. 3. Add do and don't usage guidelines with rationale. 4. Specify accessibility requirements (roles, labels, keyboard behavior). 5. Provide concrete example use cases and when to choose a different component. </task>

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Pro tip: Ask ChatGPT to mirror an existing doc template you paste in, so new component docs stay consistent with your system.

Design Token Naming Guide

27/30

✨ What it does

ChatGPT proposes a semantic token naming structure for [PRODUCT] with examples across color, space, and type. You adopt the pattern, then rename existing tokens that are still literal.

<context> I am defining or auditing design tokens for [PRODUCT] and want a scalable, semantic naming convention the team can follow. </context> <task> 1. Propose a token naming structure (category, concept, property, variant) with examples. 2. Recommend semantic over literal names and explain why. 3. Cover color, spacing, typography, radius, and elevation tokens. 4. Show how tokens map from primitive to semantic to component levels. 5. Flag common naming pitfalls that cause confusion at scale. </task>

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Pro tip: Paste your current token list and ask ChatGPT to spot inconsistencies and suggest renames before you refactor the system.

Pattern Usage Guidelines

28/30

✨ What it does

ChatGPT writes when-to-use and when-not-to-use guidelines for a pattern in [PRODUCT] so [USER] designers stay consistent across [FLOW]. You name the pattern first, then add the do and don't to the system.

<context> I want clear usage guidelines for a recurring UX pattern in [PRODUCT] so [USER] designers apply it consistently across [FLOW]. </context> <task> 1. Wait for me to name the pattern, then define when to use it and when not to. 2. Describe the standard behavior, content rules, and interaction states. 3. Provide best-practice examples and common misuse examples. 4. Note accessibility and responsive considerations. 5. List related patterns and how to choose between them. </task>

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Pro tip: Ask ChatGPT to phrase guidelines as testable rules so reviewers can objectively check whether a screen follows the pattern.

UX Writing Style Snippet

29/30

✨ What it does

ChatGPT writes practical UX writing rules for [PRODUCT] so microcopy in [FLOW] stays consistent for [USER], with button, error, and empty-state examples. You apply the rules to live screens, then rewrite the outliers.

<context> I am defining UX writing rules for [PRODUCT] so microcopy across [FLOW] feels consistent for [USER]. I want practical guidance, not abstract brand fluff. </context> <task> 1. Define voice and tone with 3-4 concrete adjectives and what each means in practice. 2. Give rules for buttons, error messages, empty states, and confirmations with examples. 3. Provide before-and-after rewrites that show the rules applied. 4. Cover capitalization, person, tense, and punctuation conventions. 5. List words and phrases to avoid and their preferred alternatives. </task>

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Pro tip: Paste a few existing strings from your product so ChatGPT calibrates the voice to what you already have rather than inventing one.

Design Handoff Spec

30/30

✨ What it does

ChatGPT outlines an engineering handoff spec for [FLOW] in [PRODUCT] covering layout, tokens, states, and [USER]-facing edge cases. You describe the screens, then attach the spec to the ticket.

<context> I am handing off [FLOW] in [PRODUCT] to engineering and want a clear spec so [USER]-facing behavior is built exactly as designed. </context> <task> 1. Wait for me to describe the screens, then produce a handoff spec outline. 2. Document layout, spacing, components used, and which design tokens apply. 3. Specify all states: default, hover, focus, active, disabled, loading, empty, error. 4. Detail interaction behavior, validation rules, and edge cases. 5. List open questions and decisions engineering needs from me before building. </task>

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Pro tip: Ask ChatGPT to generate a checklist version of the spec so you can confirm every state is covered before handing it to developers.

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Frequently Asked Questions

Copy a prompt, replace the [PRODUCT], [USER], and [FLOW] placeholders with your real project details, and paste it into ChatGPT. Many prompts ask ChatGPT to wait for your notes or design description first, so follow up by pasting that context. Then refine the output with the suggested pro tip.
[PRODUCT] is the app, site, or feature you are designing. [USER] is your target audience or persona. [FLOW] is the specific task or journey you are working on, such as onboarding or checkout. Replacing them with concrete details makes ChatGPT's output far more relevant.
No. ChatGPT is excellent for planning research, drafting guides and surveys, synthesizing notes you provide, and pressure-testing your thinking. It cannot observe real users or generate genuine data. Always validate AI-assisted personas, journeys, and findings with actual research participants.
A current reasoning-capable model handles synthesis, critique, and documentation well. For long transcripts or large content lists, paste content in batches and ask ChatGPT to maintain a running summary so it does not lose earlier context.
Give ChatGPT real context: your user goals, constraints, tech limits, and actual content or quotes. Ask it to label assumptions, request a specific output format like a table or Mermaid diagram, and iterate. The more grounded detail you provide, the more deployable the output becomes.

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