Author: AILesson7 min setupTested with:ChatGPTReviewed: 2026-08-28
Quick answer
Hold the core intent steady while varying execution choices enough to reveal real trade-offs. Provide: Seed idea and non-negotiable core, Audience and solution space, Comparison criteria. Expected result: Comparable concept cards, a trade-off matrix, and a prototype recommendation.
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Your prompt
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Expand one seed idea into meaningfully different, comparable concepts.
Seed, intended effect, facts, and non-negotiable core:
[seed]
Audience, channel, use context, resources, constraints, exclusions, and variation dimensions:
[space]
Criteria, evidence, risk tolerance, concept count, and prototype budget:
[criteria]
Restate the invariant core and challenge any part that is only assumed. Build concepts by varying two or more relevant dimensions—such as format, sequence, participation, tone, scope, or production method—while keeping comparison scope consistent. For every concept use the same card: premise, user journey, distinctive mechanism, required assets, effort, dependencies, accessibility, risks, evidence gaps, and smallest prototype. Include a baseline close to the seed so novelty has a control. Do not inflate differences with names or decoration. Compare using stated evidence and qualitative bands unless reliable measurements exist. Identify dominated or redundant concepts, then recommend which contrasting pair to prototype and what observation would change the decision.
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From input to outcome
A worked example
See how concrete context turns this recipe into a usable result
Actual input
Seed idea and non-negotiable core
Seed: a museum ‘object of the week’ helps first-time visitors look closely at one object rather than cover every room. Core: one real collection object, one observation invitation, and no unsupported interpretation.
Audience and solution space
Mobile web at the venue; adults visiting alone or in pairs; no app, login, audio recording, or location tracking. One designer and curator for three days. Vary sequence, interaction, and depth. Meet WCAG text/contrast needs and provide no claim that the feature increases learning.
Comparison criteria
Create four concepts. Compare ease of starting, close-looking support, curatorial effort, accessibility, privacy, and technical risk. Prototype budget one day; curator and visitor-services lead choose two.
Example output
Invariant core is one verified object plus one neutral looking prompt; “first-time visitors prefer one object” remains a hypothesis. Baseline card: static object page, large image, location, and “What detail did you notice first?”—lowest effort, no response capture. Reveal card: visitors choose one of three visible details, then reveal curator-sourced context; higher content effort and risk of leading attention. Slow-look timer card: optional 60-second visual pause before context; distinct sequence, but timer may annoy and needs reduced-motion-compatible behavior. Pair dialogue card: alternating private questions for two people, with a solo route; strongest social mechanism, more copy and branching.
Do not prototype Reveal yet because its additional content exceeds the one-day learning goal. Prototype the baseline against Pair dialogue as contrasting low-complexity and participatory mechanisms. Test whether visitors can identify the object/location, understand that no answer is recorded, and begin within 20 seconds; observe abandonment and accessibility friction without claiming learning gain. If solo visitors find the pair route confusing despite the solo branch, return to baseline.
Why this works
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An invariant core prevents concept exploration from quietly changing the original problem.
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A shared card and baseline expose trade-offs that catchy names can hide.
Check the result
Does every concept preserve the stated core while varying meaningful execution dimensions?
Are effort, dependencies, risks, and evidence gaps compared on the same basis?
Will the proposed prototypes produce observations that can change the choice?
Use it with confidence
Frequently asked questions
Practical answers about when to use this recipe, what to provide, and where human review still matters
What should I prepare before using “Expand one creative idea into comparable concepts”?
For “Expand one creative idea into comparable concepts,” prepare Seed idea and non-negotiable core, Audience and solution space, and Comparison criteria. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.
When is the “Expand one creative idea into comparable concepts” result not ready to use?
The result is not ready if it does not yet deliver the stated outcome—Comparable concept cards, a trade-off matrix, and a prototype recommendation—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.
Which AI tools have recorded tests for “Expand one creative idea into comparable concepts”?
The published test record for “Expand one creative idea into comparable concepts” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.
ChatGPT