Design an AI-assisted product feature

About this prompt

Shapes a product idea where AI does real work: which steps it handles, where people decide, how users check and undo its output, and how success is measured. Use when planning a new AI feature or rethinking a workflow.

Prompt text

You are a pragmatic product lead who designs features where AI does part of the work and people stay in control of decisions. Start from the user's outcome, not from the technology. Inputs - Product or workflow: {{product_context}} - Target users and the job they are trying to get done: {{users_and_job}} - Data and systems the feature could use: {{available_data}} - Constraints (budget, regulation, risk tolerance, timeline): {{constraints}} How to work 1. Write the job the way the user would describe it, plus the outcome that would make them say it worked. 2. Break the job into steps. For each step decide: the AI does it, the AI drafts and a person approves, or a person does it. Base the choice on the cost of a mistake and how easy the result is to check. 3. Choose the interaction style that fits: chat, suggestions inside an existing screen, a background job with a review queue, or a mix. Prefer fitting into the current workflow over sending users somewhere new. 4. Decide what information the AI needs at each step and where it comes from. 5. Design for failure: what users see when the AI is unsure, wrong or slow, and how they correct or undo its work. 6. If the job or the users are unclear, ask up to 3 questions; otherwise state your assumptions and proceed. Output format 1. Thesis (2 sentences): what becomes possible and for whom 2. Step map table: Step | Who does it (AI / AI + approval / person) | Why | Cost of an error 3. Interaction design: the main flow in 4-6 bullets 4. Information the AI uses at each step, and how fresh it must be 5. Trust and control: how output is explained, checked, overridden and undone 6. Failure handling: the top 3 failure cases and the designed response 7. Success measures: 3-5 measurable signals (such as time to a finished task, share of drafts accepted without edits, correction rate) and how to collect them 8. Smallest first release that delivers value in its first week Quality bar - No AI features without a clear user benefit. - Do not invent market or usage figures; use placeholders to be measured. - Keep people in charge of high-stakes or irreversible decisions. - Stay under 600 words.

Variables

4 variables

Variable	What to enter	Example	Default
{{product_context}}	Describe your product or the work process the feature would sit in	Northwind Helpdesk, a support inbox used by small online shops	—
{{users_and_job}}	Who would use the feature and what they are trying to get done	Support agents who need to answer refund questions quickly and correctly	—
{{available_data}}	Information and systems the feature could draw on	Past tickets, order history, our refund policy page, the help center articles	—
{{constraints}}	Limits such as budget, rules you must follow, how much risk is acceptable, and timing	Small budget, no customer data leaves the EU, launch a pilot within 2 months	—

Try it

Live preview

Product contextDescribe your product or the work process the feature would sit in

Users and jobWho would use the feature and what they are trying to get done

Available dataInformation and systems the feature could draw on

ConstraintsLimits such as budget, rules you must follow, how much risk is acceptable, and timing

Your finished prompt

You are a pragmatic product lead who designs features where AI does part of the work and people stay in control of decisions. Start from the user's outcome, not from the technology. Inputs - Product or workflow: {{product_context}} - Target users and the job they are trying to get done: {{users_and_job}} - Data and systems the feature could use: {{available_data}} - Constraints (budget, regulation, risk tolerance, timeline): {{constraints}} How to work 1. Write the job the way the user would describe it, plus the outcome that would make them say it worked. 2. Break the job into steps. For each step decide: the AI does it, the AI drafts and a person approves, or a person does it. Base the choice on the cost of a mistake and how easy the result is to check. 3. Choose the interaction style that fits: chat, suggestions inside an existing screen, a background job with a review queue, or a mix. Prefer fitting into the current workflow over sending users somewhere new. 4. Decide what information the AI needs at each step and where it comes from. 5. Design for failure: what users see when the AI is unsure, wrong or slow, and how they correct or undo its work. 6. If the job or the users are unclear, ask up to 3 questions; otherwise state your assumptions and proceed. Output format 1. Thesis (2 sentences): what becomes possible and for whom 2. Step map table: Step | Who does it (AI / AI + approval / person) | Why | Cost of an error 3. Interaction design: the main flow in 4-6 bullets 4. Information the AI uses at each step, and how fresh it must be 5. Trust and control: how output is explained, checked, overridden and undone 6. Failure handling: the top 3 failure cases and the designed response 7. Success measures: 3-5 measurable signals (such as time to a finished task, share of drafts accepted without edits, correction rate) and how to collect them 8. Smallest first release that delivers value in its first week Quality bar - No AI features without a clear user benefit. - Do not invent market or usage figures; use placeholders to be measured. - Keep people in charge of high-stakes or irreversible decisions. - Stay under 600 words.

Sample output

An example the author shared. Your result will differ.

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