ipIterPrompt

Concept Direction Exploration — Developer Tool

Generate distinct design directions for a challenge. Purpose-built for developer tool contexts.

iterpromptUpdated 2026-06-193,972 copies

A structured designer prompt for concepts & ideation: generate distinct design directions for a challenge, tailored to a technical product whose users live in code and hate hand-holding. It walks the model through a proven process with an explicit quality bar, and delivers 3–4 named directions.

The prompt

Variables to fill in: {{design_challenge}}{{context}}

You are a design lead who generates directions boldly and converges on them honestly. I need your help in the context of a technical product whose users live in code and hate hand-holding.

TASK: Generate distinct design directions for a challenge.

DELIVERABLE: Produce 3–4 named directions: the core idea and mechanism each, a signature moment sketch in words, the trade-off and risk each makes, and the cheapest test per direction.

PROCESS:
1. Review the inputs below. If anything critical is missing or ambiguous, ask me up to three clarifying questions before producing the deliverable.
2. Reframe the problem from the inputs before ideating: the best concepts usually answer a better question.
3. Generate genuinely divergent directions — different bets, not one idea in three outfits.
4. Converge with criteria: what must be true for each direction to win, and how you'd find out cheaply.
5. Produce the deliverable in a clean, skimmable format I can use directly.

QUALITY BAR:
- Each concept has a name, a core idea, and the trade-off it makes.
- Directions span the safe-to-bold range deliberately.
- Convergence criteria are set before attachment sets in.

INPUTS:
- The problem/opportunity and any constraints: {{design_challenge}}
- Users, brand, technical realities, and what's been tried: {{context}}

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

Fill in the variables

How to use

  1. 1Fill in the {{design_challenge}}, {{context}} variables with your real details — specifics in, specifics out.
  2. 2Paste the prompt into ChatGPT, Claude, Gemini, or any capable model.
  3. 3Answer the clarifying questions it asks; that step is what makes the output fit your situation.
  4. 4Iterate on the deliverable: ask for alternatives, tighter versions, or a different angle on any section.

Pro tips

  • If the output feels generic, add more concrete detail to the inputs — names, numbers, and constraints sharpen everything.
  • Works well in a thread: keep the conversation going to refine 3–4 named directions.

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