Business PlanningMarket Intelligence

AI Market Research Planning Playbook: From Signal Collection to Decision Briefs

A market research planning system for startup and SMB teams that need faster insights, stronger evidence quality, and clearer strategic next steps.

Kona Business AI
Kona Team
Published 13 min read
AI market research planning process with demand signals, competitors, and insights

Market research planning creates leverage when teams separate signal collection from interpretation and then turn both into a decision brief. Without this structure, outputs become long summaries that do not change strategy.

This guide gives startup and SMB teams a repeatable market report process for segment prioritization, trend interpretation, and execution planning.

Updated February 2026. This guide is designed for practical planning execution and decision quality.

Who this is for and when to use it

The workflows below are designed for operators who want faster execution without sacrificing quality controls. Each block is built so a small team can run it quickly, audit assumptions, and adjust based on weekly signal.

Who this is for

  • Founders evaluating new market entry opportunities.
  • GTM leaders refining segment and messaging focus.
  • Product teams validating roadmap demand assumptions.
  • Operators needing faster research cycles with better evidence.

When to use it

  • The team lacks a current market view before planning cycles.
  • Segment decisions are based on anecdotal evidence.
  • Competitor movement is outpacing internal analysis cadence.
  • Leadership asks for sharper TAM, SAM, and SOM assumptions.

Step-by-step workflow

This workflow is intentionally linear: scope first, then build, then review, then operationalize. Keep each step focused on one clear decision before moving forward.

Step 1: Research question framing

Timebox: 45 min. Define target segment, geography, and decision horizon.

Step 2: Signal collection pass

Timebox: 80 min. Gather customer, demand, and competitor evidence quickly.

Step 3: Evidence normalization

Timebox: 55 min. Tag findings by confidence, recency, and source quality.

Step 4: Insight synthesis

Timebox: 60 min. Convert findings into ranked opportunities and risks.

Step 5: Decision brief drafting

Timebox: 40 min. Publish one concise recommendation with owner actions.

Step 6: Refresh cadence setup

Timebox: Recurring. Schedule monthly updates for fast-changing categories.

30-60-90 day execution cadence

A common reason playbooks fail is that teams stop at document creation. Treat this article as an operating rhythm, not a writing task. The first 30 days should focus on baseline quality and consistency, days 31-60 should focus on throughput and conversion quality, and days 61-90 should focus on compounding improvements through tighter signal loops.

Days 1-30: Baseline and alignment

  • Finalize one canonical version of the workflow and assign owners.
  • Run the process end to end at least once with real constraints.
  • Capture every major assumption and mark confidence levels.
  • Establish weekly review meeting with fixed agenda and outputs.

Days 31-60: Optimization and throughput

  • Reduce handoff friction between teams using shared definitions.
  • Retire low-value tasks and double down on high-signal actions.
  • Update templates based on what actually improves outcomes.
  • Report progress in a short weekly summary with owner accountability.

Days 61-90: Compounding and governance

  • Promote stable workflows into standard operating procedures.
  • Set monthly quality audits for assumptions and source freshness.
  • Document lessons learned and feed them into the next cycle.
  • Align leadership decisions to the metric and risk signals collected.

Internal resources and next steps

Each link below is selected to help you move from strategy to execution. The mix intentionally includes tool pages, adjacent guides, and a direct signup path to reduce friction between learning and action.

Turn market signal into strategy you can execute this quarter

Use Planning to generate market reports, rank insights, and assign next actions by owner.

Open Market Report planning

FAQ

Answers to keep your planning sprint moving

Quick explanations and definitions you can share with your team when reviewing the research.

How should teams scope AI market research before running prompts?
Define target segment, geography, decision horizon, and the exact planning decision the research must support.
What outputs matter most from a market research plan?
Decision-ready outputs include clear segment attractiveness, trend implications, competitor movement, and prioritized actions.
Can this workflow support both product and GTM planning?
Yes. The same research foundation can inform messaging, channel focus, roadmap priorities, and investment sequencing.
How often should market reports be refreshed?
Most teams should refresh monthly for fast-moving categories and quarterly for slower strategic planning cycles.

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