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Market Trend & Demand Signal Playbook

Extracts emerging trends, recurring themes, and demand shifts from conversation data. Enables strategic insights for marketing, product, and executive decision-making.

Data Science3 kits · 8 bricks

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Deploy this kit stack into your workspace. Customize bricks, scoring, and outputs to match your team.

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Without this playbook

Most teams handle market trend & demand signal through scattered call reviews, manager opinion, and isolated examples. Without a shared operational definition, the signals stay inconsistent and difficult to act on across volume.

With this playbook

A shared, repeatable lens for market trend & demand signal - with structured outputs you can route into coaching, reporting, and workflow automation. Every conversation produces evidence, not just opinions.

Built for

Data engineers, analytics teams, and revenue analysts

When teams use it

  • Signal modeling and feature engineering
  • Warehouse analysis and downstream reporting
  • Trend detection and demand forecasting

The operational stack

3 kits behind this playbook

Conversations contain market intelligence that never makes it into a report. This stack extracts three layers: emerging trends - rising keywords, phrases, and patterns that indicate shifting demand; industry clustering that groups those patterns by segment so you can see which verticals or ICPs are driving the change; and budget and spend signals that tie trends to actual purchasing intent. The output gives strategy, marketing, and product teams leading indicators instead of lagging ones.

Budget & Spend Trend Kit

3 bricks

Extracts signals tied to budget shifts or spending intent.

Included bricks

Customize this kit

Budget Change Present

Boolean

Detects mentions of budget change or spend adjustments

Budget Trend Keywords

String list

Extracts repeatedly emerging budget related phrases

Spend Intent Score

Score

Scores strength of spend or expansion intent signals

Industry Cluster Kit

3 bricks

Groups patterns by industry or ICP segments.

Included bricks

Customize this kit

Industries Detected

String list

Extracts references to industry categories or segments

Industry Trend Type

Category

Classifies trends relevant to industries referenced

Industry Pattern Score

Score

Scores prominence of industry clusters in conversation data

Trend Emergence Kit

2 bricks

Detects rising keywords and demand patterns.

Included bricks

Customize this kit

Emerging Topics Detected

String list

Extracts potential trending keywords and topics over multiple interactions

Trend Strength Score

Score

Scores how strongly a trend is emerging

Knowledge base

Supporting materials

The kits in this playbook work best when backed by reference materials that ground the evaluation. Upload these into your workspace knowledge base to improve accuracy and relevance.

Learn more about Knowledge Bases

Market research reports and industry trend documentation

ICP and segment definitions

Product roadmap and strategic planning documentation

Historical demand data and seasonal patterns

Competitive landscape and market sizing reports

Structured output

What you get back

Every conversation processed through this stack produces a structured JSON object. Each brick contributes a typed field - booleans, scores, categories, or string lists - that you can route, aggregate, and report on.

Example output shape

{
  "budget_change_present": true,
  "budget_trend_keywords": [
    "signal 1",
    "signal 2"
  ],
  "spend_intent_score": 7,
  "industries_detected": [
    "signal 1",
    "signal 2"
  ],
  "industry_trend_type": "Strong",
  "industry_pattern_score": 7,
  "emerging_topics_detected": [
    "signal 1",
    "signal 2"
  ],
  "trend_strength_score": 7
}

In practice

How teams use these outputs

The structured outputs from this stack integrate into your existing workflows. Use them wherever you need repeatable, evidence-based signal from conversations.

Signal modeling and feature engineering

Warehouse analysis and downstream reporting

Trend detection and demand forecasting

Revenue correlation and attribution analysis

Get started

Deploy this playbook in your workspace

Customizing creates a workspace-owned draft with this playbook's full kit stack. Adjust bricks, scoring, and outputs to fit your team, then publish when ready.