How to Use Multi-Step Prompts
Big tasks fail in single prompts. Multi-step prompting breaks a goal into focused, sequential prompts — each output validated, then fed into the next.
A sequential prompt workflow for competitor analysis: scope what the analysis must decide, evaluate every competitor on the same criteria, and end with findings a pricing or positioning call can rest on.
'Analyze our competitors' in one prompt returns a feature-table essay that informs nothing. The workflow version starts from the decision — what will this analysis change? — sets the criteria before looking at anyone, evaluates every competitor on those same criteria with evidence notes, and synthesizes into findings with confidence levels. This resource loads a 7-step competitor analysis scoped to a real trigger: a quarterly pricing decision.
Build the loaded workflow
The pricing-decision goal at 7 steps loads the research arc with counter-evidence included.
Lock the decision first
Step 1 names the decision this analysis serves — it's what keeps the analysis from becoming an essay.
Demand evidence notes
The evaluation matrix marks unverified claims explicitly — those are your follow-up list, not your conclusions.
Rerun quarterly
Save the workflow; next quarter, same sequence, fresh evidence. Comparable analyses compound.
Locking the decision first — here the Q3 pricing call — plus a 3-5 criteria list and an explicit out-of-scope list is what stops step 4 from sprawling into a feature-table essay. The Multi-Step Prompt Builder writes that scoping as the opening prompt so every later step judges candidates only against those fixed criteria. You run the chain in ChatGPT, Claude, or Gemini and confirm the criteria fit your call.
Step 4's prompt tells the assistant to cite evidence for every claim and write 'unverified' wherever evidence is missing, rather than guessing. Those unverified cells become your follow-up research list, not conclusions you act on. The Builder writes that instruction into the chain, but the assistant marks the cells wherever you run the prompt; NewPrompt never checks whether any citation is actually true.
The fifth step (question, sources, landscape, evaluation, counter-evidence, synthesis, recommendation) deliberately hunts for evidence against the evaluation matrix before synthesis. It exists so confident-sounding gaps get challenged instead of flowing straight into the recommendation. The Multi-Step Prompt Builder sequences it as its own prompt; you run and read that counter-evidence output before continuing to synthesis.
Build it once — save the generated 7-step chain and paste the same sequence into a fresh conversation each quarter, so the fixed criteria and criteria-by-candidate matrix keep the analyses comparable. The Builder produces that reusable prompt chain; it does not store your competitors or auto-refresh their data, so you supply the current evidence yourself every run.
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