Skip to main content
Solve handles any business question that requires research, analysis, or synthesis. The categories below show what works well, not a ceiling on what you can ask. Browse the examples, then adapt them to your domain using best practices for sharper results.
Output quality depends on question specificity. Each example below is intentionally precise. See best practices for question framing guidance.

​
What you can ask

The question: Where should you grow next, and why?Expansion decisions require simultaneous analysis across multiple options and evaluation criteria. Solve decomposes each vertical or geography into its own research stream and returns a comparative framework.Example prompts:
We are a fintech infrastructure company with deep expertise in banking APIs. Evaluate expansion into insurance, healthcare payments, and government disbursements. For each: market size, regulatory complexity, technical reuse from our existing stack, go-to-market timeline, and partnership opportunities.

I run a D2C skincare brand profitable in India. Assess market entry into UAE, Indonesia, and UK. Cover regulatory requirements for cosmetics, logistics cost structures, digital marketing landscape, and competitor positioning in each market.

We are an EdTech platform focused on K-12 in the US. Should we expand into corporate L&D, higher education, or international K-12 first? Compare TAM, sales cycle length, product adaptation required, and channel economics.

Run a detailed market analysis for your target geography or vertical.
The question: What is your competition doing, and how do you win?Competitive intelligence requires pulling signals from pricing pages, review platforms, press releases, job postings, social sentiment, and analyst reports simultaneously.Example prompts:
I am pitching Series A for an AI design tool. Show me exactly how Canva's pricing has changed over the last 3 years, their enterprise revenue mix, and the top 5 complaints from enterprise users on G2.

We compete with Datadog in observability. What has Datadog shipped in the last 6 months, where are their enterprise customers expressing frustration, and what gaps exist that we could position against?

Map the competitive landscape for AI code generation tools. Compare GitHub Copilot, Codeium, and Tabnine across pricing, enterprise adoption signals, developer sentiment, and technical differentiation. Where is the whitespace?

Run a full competitive teardown with feature matrices and SWOT analysis.
The question: How do you sell more, sell faster, or sell to new segments?GTM questions blend market data, customer behavior analysis, competitive benchmarking, and strategic synthesis. They require pattern recognition across many data points.Example prompts:
We sell developer tools. Our PLG motion is strong but enterprise conversion is weak. Research how Figma, Notion, and Slack transitioned from PLG to enterprise sales. What org structures, pricing changes, and sales motions did they deploy? Give me a playbook.

I run a B2B SaaS company with \$5M ARR. Average deal cycle is 90 days. Research what top-performing companies in our revenue range do to compress sales cycles: pricing structures, proof-of-value frameworks, and procurement shortcuts.

Help me optimize pilot-to-production conversion. Map the top 10 stall reasons from G2 and Gartner reviews, then create tailored expansion playbooks for three customer archetypes: SAP-heavy enterprises, cloud-native companies, and regulated industries.

Analyze pricing models and packaging strategies for your product.
The question: Should you invest in this, and what are you missing?Due diligence requires breadth across many dimensions, depth in each, and rigorous evidence grounding. Every claim needs to trace to a source.Example prompts:
I am considering investing in a Series B vertical SaaS company in construction tech. Research the construction technology market: growth rate, key players, recent funding rounds, regulatory tailwinds, and the biggest failure patterns in this vertical.

Prepare a competitive landscape update for my board meeting. What has Google done in AI search APIs in the last 90 days? Is Perplexity signaling an enterprise pivot? What is the AI agent infrastructure market size for 2026?

I am a PE firm evaluating acquisition of a mid-market cybersecurity company. Research the cybersecurity M&A landscape: recent comparable transactions, valuation multiples, integration patterns, and what acquirers typically get wrong.

Build investment theses and run due diligence frameworks.
The question: Why do people behave the way they do in this market?Behavioral research requires triangulating quantitative data (surveys, market reports) with qualitative signals (reviews, social media, forums). Solve covers different evidence types in parallel and synthesizes a unified behavioral model.Example prompts:
Top 10 reasons people do not opt for home loans from co-operative banks in India.

Why are enterprise buyers in APAC slower to adopt cloud-native databases compared to North America? Research cultural, regulatory, infrastructure, and vendor-ecosystem factors.

Gen Z spending patterns on subscription services: what are they subscribing to, what are they canceling, and what triggers churn? Pull from recent survey data, analyst reports, and social sentiment.

Size the market and identify trends behind the behavior.
The question: How should you present yourself or your company to the world?Brand strategy requires understanding competitor positioning, audience perception, platform dynamics, and creative best practices simultaneously. The report needs to be both analytical and prescriptive.Example prompts:
I am head of Marketing at a VC firm. Our website is dated. Research the best VC websites (Mayfield, Sequoia, Greylock, Atomico, Bond) and give me a brand strategy and website redesign recommendation that positions us as an AI-native VC.

I want to become a thought leader in AI governance. Research the current landscape: who is publishing, on which platforms, what formats work, what topics are saturated vs. underserved. Give me a differentiation strategy and 90-day content plan.

We are rebranding from a services company to a product company. Research how Accenture, Infosys, and Wipro have attempted product pivots: what worked, what failed, and how the market perceived the transitions. Give me lessons and a positioning framework.
The question: Help me understand a complex domain deeply enough to make an architectural or operational decision.Technical deep dives go beyond surface comparisons into real world evidence: user experiences, failure case studies, hidden cost structures. Solve pulls from diverse sources and synthesizes a decision framework. You can attach internal documents for added context.Example prompts:
We are evaluating migration from a monolith to microservices. Research failure patterns of enterprise migrations at our scale (\$50M+ revenue, 200+ engineers). What went wrong at companies that failed? What did successful migrations have in common? Give me a risk framework.

Compare the total cost of ownership for running ML inference on AWS Sagemaker vs. GCP Vertex AI vs. self-hosted on-prem for our workload profile: 10M inferences per day, 500ms latency requirement, multi-region.

We are choosing between Snowflake, Databricks, and BigQuery for our data platform. Research beyond marketing claims: actual enterprise user experiences at scale, hidden costs, migration complexity, and vendor lock-in risk.
The question: How do you build and launch a public initiative or campaign?Public initiative design requires blending research (what exists, what works), strategy (how to position, how to execute), and communication (how to reach the audience) at once.Example prompts:
I am launching a nonprofit focused on AI literacy in rural communities. Research existing initiatives, funding sources, partnership opportunities with state governments, and successful models from other countries.

Help me design a policy brief on open-source AI regulation for submission to a parliamentary committee. Research current global positions, industry arguments, academic perspectives, and draft an evidence-based recommendation framework.

I want to push the agenda of rebuilding India's government app layer. Give me a 3-month campaign strategy across X and LinkedIn, a list of government apps to reimagine, and a stakeholder map of who to engage first.

​
What’s next

Best practices

Frame questions for sharper, more actionable results.

Quick start

Get your first report in under 5 minutes.

Work with reports

Understand report structure, exporting, and sharing.