Prompt

building a market intel process that non-analysts can use

Marketing Services / Market Research1 observationLast seen Oct 7, 2026

Latest observation

Oct 7, 2026OpenAI APIWeb search: off

Here’s a practical way to build a market intelligence process that non-analysts can actually use: make it structured, lightweight, repeatable, and decision-oriented.

1) Start with the decisions, not the data

Define what the process is meant to support, for example:

  • Enter/exit a market
  • Prioritize segments
  • Track competitors
  • Spot customer needs
  • Inform pricing, positioning, or partnerships

If the team can’t answer: “What decision will this intelligence change?” then the process is too broad.

2) Keep the scope narrow

Non-analysts do best with a limited set of questions, such as:

  • What changed in our market this week/month?
  • Which competitors made a meaningful move?
  • What new customer pain points are emerging?
  • What regulatory or macro changes matter?
  • What signals suggest opportunity or risk?

A good rule: 5–7 recurring questions max.

3) Standardize the intake

Create a simple template for anyone submitting market intel:

Intel submission template

  • What happened?
  • Who is affected?
  • Why does it matter?
  • Source/link
  • Confidence level: low/medium/high
  • Suggested action or implication

This avoids vague “FYI” submissions.

4) Use a shared source list

Non-analysts need a pre-approved set of sources so they’re not starting from scratch.

Examples:

  • Competitor websites and press releases
  • Industry newsletters
  • Customer support logs / sales call notes
  • Trade publications
  • Regulatory updates
  • Social media / community forums
  • Review sites
  • Analyst reports, if available

Label sources by reliability and frequency.

5) Build a simple triage process

Not every signal deserves attention. Route inputs through a basic filter:

Triage categories

  • Noise: interesting but not actionable
  • Watch: monitor for patterns
  • Alert: likely meaningful change
  • Action: requires decision or response

You can make this easy with a scoring model:

  • Relevance to our business
  • Size of impact
  • Confidence in the source
  • Urgency
  • Novelty

6) Create a weekly/monthly cadence

A process works when it has a rhythm.

Weekly

  • Collect inputs
  • Triage
  • Highlight 3–5 key developments

Monthly

  • Synthesize trends
  • Compare against prior month
  • Recommend actions

Quarterly

  • Refresh priorities, competitors, and market questions

7) Make output dead simple

Non-analysts need concise, consistent outputs.

Use a one-page format:

  • What happened
  • Why it matters
  • What to watch next
  • Recommended action
  • Owner

If people have to read a long deck every time, they won’t use it.

8) Assign clear roles

Avoid “everyone owns it,” which usually means no one does.

Suggested roles:

  • Collectors: gather signals
  • Triage lead: filters and prioritizes
  • Synthesizer: turns signals into insights
  • Decision owner: acts on recommendations

In smaller teams, one person can play multiple roles.

9) Use templates and examples

Non-analysts need guardrails more than freedom.

Provide:

  • Example intel submissions
  • Example good/bad insights
  • A sample weekly summary
  • A glossary of key terms
  • A checklist for “is this worth sharing?”

10) Close the loop

The process improves only if users see outcomes.

For every important intel item:

  • What decision was made?
  • Was the signal useful?
  • What should we do differently next time?

This builds trust and keeps the process from becoming a reporting exercise.


A simple operating model

Inputs

  • Sales
  • Customer success
  • Product
  • Support
  • Marketing
  • Public sources

Process

  1. Capture signal
  2. Triage
  3. Validate
  4. Summarize
  5. Share
  6. Decide
  7. Track outcome

Outputs

  • Weekly market pulse
  • Competitor updates
  • Opportunity/risk alerts
  • Monthly trends summary

Tools that help non-analysts

Keep tooling simple:

  • Shared form for submissions
  • Shared spreadsheet or Airtable
  • Slack/Teams channel for alerts
  • One dashboard for tracked themes
  • Document repository for source links

Avoid overbuilding with complex BI tools unless needed.


Common mistakes to avoid

  • Asking people to “be strategic” without a framework
  • Collecting too much, then synthesizing too late
  • Mixing raw facts with interpretations
  • No owner for follow-up
  • No definition of what “good intel” looks like
  • Making it a reporting burden instead of a decision tool

If you want, I can also help you with one of these:

  1. A one-page market intel workflow
  2. A submission template
  3. A weekly market intel meeting agenda
  4. A scoring rubric for triage
  5. A simple operating model for a small team

If you tell me your team size and who the non-analysts are, I can tailor the process.

Observation history

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