All playbooks

Turn a market question into a recommendation.

Set the market and research objective. ML Clever finds the evidence, structures the analysis, and produces a report ready for the decision.

A repeatable research workflow, already structured.

Use the same playbook for market sizing, competitive analysis, and leadership-ready recommendations.

Market sizing research created with ML Clever

Size the opportunity

Define the market, assumptions, growth drivers, and boundaries behind the opportunity.

Competitive research organized in an ML Clever document

Map the competitive landscape

Compare positioning, market signals, and differentiation across the companies that matter.

A finished market research report from ML Clever

Make the recommendation

Turn the evidence into a clear point of view, supported by citations and next steps.

From open question to evidence-backed recommendation.

Parameterize the question without rewriting the prompt.

Change the research object, target market, timeframe, and framework while the workflow keeps the analysis consistent.

Editing market research variables in an ML Clever prompt

Keep the evidence attached to every claim.

ML Clever gathers current sources, compares the evidence, and keeps citations close to the conclusions they support.

Cited evidence inside a market research report

Leave with a report built for the decision.

Refine the argument, apply the visual direction, and share a structured report with charts and recommendations.

A polished market research report in ML Clever

Before you run the research playbook.

You can start with a research topic and target market. Add documents or datasets when you want the analysis grounded in internal context.

Yes. Set the framework variable to SWOT, PESTEL, 7Ps, or another structure that fits the question.

Yes. Edit the copy, prompt individual sections, change the theme, and prepare the result for sharing or export.

Run your next market research project.