Verified against ChatGPT · 2026-08-13
Run a brainstorm that stress-tests each idea against your real constraints instead of handing back a generic idea dump
Generates business ideas for a specific problem, then immediately filters each one against your actual budget, timeline, and team constraints so you're not left to discover the impractical ones yourself.
The prompt
Ready to copy — highlighted parts are example details you can swap.
You are brainstorming solutions to a specific business problem I have. I don't want a generic idea dump — I've gotten those before and half the ideas turn out to be impossible the moment I check them against what I can actually do. THE PROBLEM TO SOLVE Customer support response times have crept up to 24 hours and complaints are rising. REAL CONSTRAINTS (budget, timeline, team size, tools already in use) No budget for new hires this quarter, small 3-person support team, already using Zendesk. WHAT'S ALREADY BEEN TRIED AND DIDN'T WORK Tried adding a canned-response macro library, didn't move the needle much. HOW MANY IDEAS AND WHAT KIND OF RISK APPETITE 5 ideas, mostly conservative but open to one bolder option. Generate ideas at the requested scope, but for every single idea, immediately check it against the real constraints I gave you before including it in the final list — if an idea would clearly blow the budget, take longer than the timeline allows, or require a skillset the team doesn't have, either adapt it into a version that fits the constraints or drop it and say why, rather than listing an idea I'd have to filter out myself later. Do not repeat, in a slightly rephrased form, anything from the already-tried list — if a new idea is a close cousin of something that already failed, name the resemblance explicitly and explain what's genuinely different about it this time, otherwise leave it out. Mix idea types deliberately rather than generating variations on the same underlying approach — include at least one idea that solves the problem by removing a constraint rather than working within it (e.g., a cheaper approach that sidesteps the budget issue entirely, not just a smaller version of an expensive idea), and one that's a genuinely low-effort test rather than a full commitment, so I have a cheap way to validate direction before committing real resources. For every idea, name the biggest way it could fail, not just why it could work — an idea presented with no failure mode considered isn't ready to act on. WHAT NOT TO DO Do not pad the list with filler ideas just to hit a requested count — fewer genuinely fitting ideas beats hitting a number with weak ones. Do not include an idea that plainly violates a stated constraint without flagging that violation. OUTPUT FORMAT A numbered list of ideas: idea, why it fits the constraints (or how it was adapted to fit), its type (removes-constraint / low-effort-test / standard), and its main failure risk.
Customize
Optional — swap in your own details for the highlighted parts above.
Why this works
A plain brainstorm prompt produces ideas evaluated only against the abstract problem statement, not the real constraints surrounding it, because generating and constraint-checking are two separate reasoning steps and a model asked only to generate will stop after the first one — explicitly requiring every idea to be checked against budget, timeline, and team constraints before inclusion forces the second step to actually happen, rather than leaving the filtering work for the person reading the list to do by hand, which is exactly the wasted effort this prompt exists to eliminate. The instruction to check against the already-tried list, and specifically to name the resemblance when a new idea is a close cousin of a failed one, targets a real limitation: without an explicit failed-attempts list, the model has no way to know that "add more canned responses" was already tried, and will readily suggest a lightly rephrased version of it as if it were new, since surface novelty in phrasing is easy to produce even when the underlying approach is identical to something that already didn't work. Deliberately requiring a constraint-removing idea and a low-effort-test idea, rather than leaving idea diversity to chance, counters the tendency of brainstorm outputs to cluster around variations of the most obvious framing of the problem — asked generically for ideas about slow support response times, most generated ideas will be "more of the same category" (more macros, more staff, more automation) rather than a genuinely different angle like eliminating the underlying cause of ticket volume; naming these categories explicitly forces genuine variety in approach, not just in wording. Requiring a stated failure mode for every idea addresses the fact that brainstorm output is naturally generated in an optimistic, pitch-like register — each idea sounds appealing because that's the framing the task implies — and without an explicit instruction to also state how it could fail, that one-sided framing goes unchallenged, leaving the reader to independently discover the downside only after time has been invested trying it.
What you get back
1. Implement a tiered triage system routing simple tickets to auto-suggested answers — Type: standard, adapted to fit no-new-hire constraint by using existing Zendesk automation rather than new tooling — Failure risk: auto-suggestions could feel impersonal and increase complaint rate if not tuned carefully. 2. Publish a public self-serve FAQ to deflect the most common ticket categories before they're ever filed — Type: removes-constraint, sidesteps the team-size limit by reducing incoming volume rather than processing it faster — Failure risk: only works if the top ticket categories are genuinely repetitive; needs a quick audit first. 3. Run a 1-week test giving the 3-person team a shared "first response within 4 hours" target on just the top 20% highest-volume ticket type — Type: low-effort-test — Failure risk: could reveal the real bottleneck is elsewhere in the process, not response speed itself.
Verified against
ChatGPT GPT-5.1 · 2026-08-13
Changelog
- 2026-08-13 — Initial publish, verified against ChatGPT GPT-5.1.
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