competitive-intelligence

Analyze opportunity data and activity notes to generate competitive intelligence.

44|9|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/microsoft/dataverse-business-skills --skill competitive-intelligence-microsoft
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitive-intelligence
Source: https://github.com/microsoft/dataverse-business-skills/tree/main/skills/competitive-intelligence
Command: npx skills add https://github.com/microsoft/dataverse-business-skills --skill competitive-intelligence-microsoft

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill transforms raw opportunity data and activity notes into actionable competitive intelligence, helping you understand win/loss rates, identify patterns, and equip your sales team with effective talking points.

Core Features & Use Cases

  • Win/Loss Analysis: Quantify performance against specific competitors.
  • Pattern Identification: Discover trends in deal size, industry, and sales stage that correlate with wins or losses.
  • Battlecard Generation: Create rep-ready talking points, objection handling, and strategic guidance based on real deal data.
  • Use Case: When a sales rep asks, "How are we doing against Acme Corp?", this skill provides a detailed report on win rates, common objections, and effective strategies for that competitor.

Quick Start

Analyze our competitive performance against Acme Corp for the last six months.

Frequently Asked Questions about competitive-intelligence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze win/loss rates against specific competitors using Dataverse opportunity data?

Win/loss rate analysis is generated by querying Dataverse opportunity, opportunityclose, and competitor tables to quantify your performance against specific competitors and identify correlating deal patterns.

Can I automatically generate sales battlecards from past deal activity notes?

Yes, rep-ready battlecards are generated by analyzing historical activity notes and opportunity data to extract talking points, objection handling, and strategic guidance based on real deal outcomes.

What is the best way to identify deal patterns that correlate with competitive losses?

Competitive intelligence identifies loss patterns by analyzing historical opportunity data across variables like deal size, industry, and sales stage to pinpoint trends correlated with competitive losses.

Does competitive intelligence analysis require specific Dataverse tables to function?

Yes, this competitive analysis requires Dataverse tables specifically opportunity, opportunityclose, and competitor to process raw opportunity data and activity notes for comprehensive intelligence generation.

How do I equip my sales team with effective talking points for competing against a specific rival?

Equip your sales team by generating battlecards that provide rep-ready talking points and strategic guidance derived from analyzing real win/loss data and activity notes for that competitor.