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Solve produces reports that match the quality of your question. Specific, constrained prompts return focused analysis you can act on. This page covers question framing, follow-up patterns, and iteration strategies that get the most out of every Solve task.

What you can do

Solve works like a research analyst. Provide context, name constraints, and define your output format to get a sharp result. Vague prompts return broad, generic summaries. Before research begins, Rocket asks clarifying questions to resolve ambiguity in your prompt. You can also reference previous work through @-mentions or attach files and URLs for additional context.

Weak prompts vs. strong prompts

PromptWhy it fails
”Tell me about the SaaS market”Too broad. No segment, geography, or specific question.
”Who are our competitors?”Solve does not know who “we” refers to or what market you operate in.
”What should we build?”No context about your product, users, or constraints.
”Is this a good business idea?”No specifics about the idea, market, or success criteria.
”Help with pricing”No product details, target market, or competitor benchmarks.

Frame better questions

Tell Solve who you are and what stage you are at. “We’re a seed-stage startup with 3 engineers targeting SMBs” produces very different recommendations than the same question without context.Include:
  • Your company stage (pre-launch, seed, Series A, etc.)
  • Your target customer (segment, size, industry)
  • Relevant constraints (budget, timeline, team size)
  • What you have already tried or decided
Instead of “analyze the competition,” name the 3 to 5 competitors you care about. Instead of “research the market,” name the specific category. Specificity turns a survey into a focused analysis.Instead of: “What are the trends in AI?” Try: “What are the top 3 trends in AI-powered B2B sales tools for 2025? Focus on products like Gong, Outreach, and Salesloft.”
A market size estimate for a pitch deck needs different precision than one for internal planning. Tell Solve what the output is for.Instead of: “What’s the market size for project management tools?” Try: “I need a TAM/SAM/SOM estimate for project management tools targeting remote-first companies, formatted for a Series A pitch deck.”
If you want a SWOT analysis, say “SWOT analysis.” If you want a comparison table, say “create a comparison table.” Explicit format requests prevent Solve from guessing your intent.Useful format requests:
  • “Create a feature comparison table”
  • “Use a RICE scoring framework”
  • “Structure this as a two-page investor memo”
  • “Give me a pros/cons list for each option”
  • “Present the bull case and bear case separately”
Without boundaries, Solve may go too broad or too narrow. State what to include and what to skip.Instead of: “Analyze Stripe” Try: “Analyze Stripe’s pricing model and payment processing fees specifically. Do not cover their banking or identity products.”

Commands

Use follow-up messages to extract more value from the initial report. Three patterns work well: drill-down, challenge, and pivot.

Follow-up patterns

PatternWhen to useExample sequence
Drill-downYou want more detail on one section of the report.1. “Map the competitive landscape for no-code database tools.” 2. “Tell me more about Airtable’s enterprise strategy. What features do they gate behind enterprise pricing, and how does that compare to Notion?” 3. “Based on this analysis, if I were building a no-code database for agencies, what 3 features would differentiate me from Airtable?”
ChallengeYou want to stress-test the conclusions.1. “Build an investment thesis for vertical SaaS in healthcare.” 2. “What is the strongest bear case against this thesis? What would make this investment fail?” 3. “Given those risks, how would you modify the thesis to account for regulatory headwinds?”
PivotAn unexpected finding redirects your research.1. “What is the market size for AI tutoring tools for K-12 students?” 2. The report reveals the fastest-growing segment is corporate training. 3. “Pivot to the corporate training market. What does the AI-powered training market look like for companies with 500+ employees?”
Each pattern follows the same rhythm: start with a broad question, react to the findings, then narrow or redirect. You can refine any report directly from the results page.

Iteration strategies

Begin with a landscape question (“What does the market look like?”), then narrow to specifics (“Zoom in on this segment”). This gives you context before you commit to a direction.
First ask factual questions (“What are the pricing models competitors use?”). Then ask decision questions (“Which model should I choose given my constraints?”). Separating research from decisions produces better answers for both.
Run multiple Solve tasks on different aspects of a problem. Use one for market analysis, one for competitive research, and one for pricing. Then ask a final Solve task: “Synthesize these findings into a go-to-market strategy.” Tasks in the same project can reference each other.
Get the initial analysis yourself and form your own perspective. Then share the report with your team for discussion. This prevents anchoring bias where the team only considers what Solve suggested.

Combine Solve with other capabilities

Solve does not exist in isolation. Connect it with the rest of Rocket for compounding value.
CombinationHow it works
Solve then BuildResearch a market or feature set with Solve, then use those findings to scope a Build task. “Build a pricing page based on the competitive pricing analysis from my Solve task.”
Solve then IntelligenceUse Solve to identify key competitors, then set up Track tasks in Intelligence to monitor them continuously.
Intelligence then SolveWhen Intelligence surfaces a significant change (competitor launches a new feature), create a Solve task to analyze the implications.
Solve then SolveChain multiple Solve tasks in a project. Market analysis first, then competitive teardown, then pricing strategy. Each task builds on previous findings.
All Solve, Build, and Track tasks within a project share the same context. You can reference findings from one task in another without re-entering data.

Common mistakes to avoid

MistakeWhat to do instead
Asking multiple unrelated questions in one promptSplit into separate Solve tasks, each focused on one topic.
Not providing enough contextInclude your stage, audience, constraints, and what you already know.
Taking the first result as finalUse follow-ups to challenge, refine, and deepen the analysis.
Ignoring the methodology sectionRead how Solve arrived at its conclusions so you can evaluate confidence.
Using Solve when Intelligence is betterIf you need ongoing monitoring, create a Track task instead of re-running Solve.

What’s next?

Run your first analysis

Put these practices into action with a guided walkthrough.

Market analysis

Apply question-framing techniques to market sizing and trend research.

Competitive teardowns

Frame effective competitive analysis questions using these patterns.