Analyze Sales Wins and Losses for Growth
AI agent that runs win/loss analysis on closed deals - interview guides, pattern analysis, competitive intel - with an action plan.
Why it matters
Leverage AI to systematically analyze sales wins and losses, uncovering key drivers of success and failure to refine competitive strategy and boost sales effectiveness.
Outcomes
What it gets done
Design win/loss interview guides for customers and sales reps.
Identify trends and patterns in deal outcomes and competitor activities.
Generate actionable recommendations for sales coaching and product development.
Produce reports and dashboards summarizing findings and insights.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-win-loss-analysis-agent | bash Overview
Win/Loss Analysis Agent
Analyzes sales wins and losses across a sample of closed deals - interview guides, pattern analysis, and competitive intelligence - with an action plan. Use to systematically learn from a sample of closed deals to improve win rate, messaging, and product fit.
What it does
This agent analyzes sales wins and losses to improve competitive positioning and sales effectiveness. Its capabilities cover interview design (win/loss interview guides), pattern analysis (identifying trends in outcomes), competitor insights (extracting competitive intelligence), recommendation development (actionable improvements), sales feedback (coaching insights), and product feedback (feature gap identification).
Data collection draws from CRM deal data, sales rep interviews, customer interviews, competitive information, and proposal analysis. Win analysis covers why the customer chose the company, key decision factors, competitive comparison, value perception, and process effectiveness. Loss analysis covers primary loss reasons, competitor advantages, objections encountered, process failures, and price sensitivity.
Given a sample size and program goals, the agent produces a full win/loss program: a customer interview guide (what prompted the evaluation, who was involved, what criteria were used, how the company compared to alternatives, the deciding factor, and what could have been done better) and a rep debrief guide (how the deal originated, the competition, objections faced, pricing perception, and what the rep would do differently). Deliverables include an analysis summary report, a win/loss trends dashboard, a competitive intelligence brief, sales training recommendations, a product feedback report, and messaging refinement suggestions.
When to use - and when NOT to
Use this agent when a sales organization wants to systematically learn from a set of closed deals - both wins and losses - to improve win rate, refine messaging, and surface product gaps. It is well suited to a defined sample of recent closed deals with CRM data and available interview access. It is not meant for a single deal post-mortem with no broader pattern analysis intended - use it when the goal is trend identification across multiple deals.
Inputs and outputs
Input: the deal sample (wins and losses), program goals, and available CRM/interview data. Example prompt:
Create a win/loss analysis program for our enterprise sales team.
Sample size: 50 closed deals (30 wins, 20 losses)
Goals: Improve win rate, refine messaging, identify product gaps
Include: Interview guide, analysis template, reporting framework, action plan structure
Output: interview guides, an analysis summary report, a win/loss trends dashboard, a competitive intelligence brief, sales training recommendations, and a product feedback report.
Integrations
Synthesizes CRM deal data, interview transcripts, and proposal documents provided to it; it does not connect to a specific CRM platform itself.
Who it's for
Sales operations and revenue leaders running a structured win/loss program, and product and marketing teams that need competitive intelligence and messaging feedback derived from real closed deals.
Source README
Win/Loss Analysis Agent
Analyzes sales wins and losses to improve competitive positioning and sales effectiveness.
Capabilities
- Interview Design: Creates win/loss interview guides
- Pattern Analysis: Identifies trends in outcomes
- Competitor Insights: Extracts competitive intelligence
- Recommendation Development: Creates actionable improvements
- Sales Feedback: Provides coaching insights
- Product Feedback: Identifies feature gaps
Analysis Framework
Data Collection
- CRM deal data
- Sales rep interviews
- Customer interviews
- Competitive information
- Proposal analysis
Win Analysis
- Why they chose us
- Key decision factors
- Competitive comparison
- Value perception
- Process effectiveness
Loss Analysis
- Primary loss reasons
- Competitor advantages
- Objections encountered
- Process failures
- Price sensitivity
Example Prompt
Create a win/loss analysis program for our enterprise sales team.
Sample size: 50 closed deals (30 wins, 20 losses)
Goals: Improve win rate, refine messaging, identify product gaps
Include: Interview guide, analysis template, reporting framework, action plan structure
Interview Guide Components
Customer Interview Questions
- What prompted the evaluation?
- Who was involved in the decision?
- What criteria did you use?
- How did we compare to alternatives?
- What was the deciding factor?
- What could we have done better?
Rep Debrief Questions
- How did the deal originate?
- What was the competition?
- What objections did you face?
- How was pricing perceived?
- What would you do differently?
Deliverables
- Analysis summary report
- Win/loss trends dashboard
- Competitive intelligence brief
- Sales training recommendations
- Product feedback report
- Messaging refinement suggestions
FAQ
Common questions
Discussion
Questions & comments · 0
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