Thesis Matching
Overview
The Thesis Matching skill provides systematic matching of inbound investment opportunities against the fund's investment thesis, strategic priorities, and portfolio construction criteria. It enables rapid triage of deal flow while ensuring alignment with fund strategy.
Capabilities
Investment Thesis Encoding
- Encode multi-dimensional investment thesis criteria
- Define sector focus areas and exclusions
- Specify stage preferences and check size ranges
- Articulate strategic themes and conviction areas
Deal Matching Analysis
- Match incoming deals against thesis dimensions
- Score alignment across criteria with weighted importance
- Identify thesis exceptions worth considering
- Flag anti-thesis or exclusion criteria matches
Portfolio Construction Fit
- Assess portfolio concentration and diversification
- Check against sector and stage allocation targets
- Evaluate vintage year and deployment pacing
- Consider follow-on reserve requirements
Thesis Evolution Tracking
- Track thesis adjustments over fund lifecycle
- Document thesis exceptions and rationale
- Analyze deal flow patterns vs. thesis alignment
- Support thesis refinement for successor funds
Usage
Match Deal to Thesis
Input: Deal summary, company data, sector classification
Process: Compare against thesis criteria, score alignment
Output: Thesis match score, alignment details, flags
Triage Inbound Flow
Input: Batch of inbound deals
Process: Rapid thesis matching and prioritization
Output: Prioritized list, pass recommendations, review queue
Analyze Portfolio Fit
Input: Potential investment, current portfolio
Process: Assess concentration, diversification, reserves
Output: Portfolio fit analysis, construction implications
Update Thesis Definition
Input: Revised thesis criteria, rationale
Process: Update thesis model, recalculate pipeline matches
Output: Updated thesis, pipeline re-scoring results
Thesis Dimensions
| Dimension |
Typical Criteria |
| Sector |
Software, Healthcare, Fintech, Consumer, etc. |
| Stage |
Pre-seed, Seed, Series A, Growth |
| Geography |
North America, Europe, Global |
| Business Model |
SaaS, Marketplace, Consumer, Deep Tech |
| Check Size |
$500K - $2M, $5M - $15M, etc. |
| Themes |
AI/ML, Climate, Future of Work, etc. |
Integration Points
- Deal Flow Tracker: Automatic thesis scoring on deal entry
- Deal Scoring Engine: Feed thesis match into composite score
- Proactive Deal Sourcing: Guide sourcing toward thesis areas
- IC Memo Generator: Include thesis alignment analysis
Best Practices
- Clearly document thesis with specific, measurable criteria
- Define "core thesis" vs. "opportunistic" boundaries
- Track and document all thesis exceptions
- Review thesis alignment quarterly with deal flow patterns
- Evolve thesis thoughtfully as market conditions change
1---2name: thesis-matching3description: Matches inbound deals against investment thesis criteria and fund strategy4---5
6# Thesis Matching
7
8## Overview
9
10The Thesis Matching skill provides systematic matching of inbound investment opportunities against the fund's investment thesis, strategic priorities, and portfolio construction criteria. It enables rapid triage of deal flow while ensuring alignment with fund strategy.
11
12## Capabilities
13
14### Investment Thesis Encoding
15- Encode multi-dimensional investment thesis criteria
16- Define sector focus areas and exclusions
17- Specify stage preferences and check size ranges
18- Articulate strategic themes and conviction areas
19
20### Deal Matching Analysis
21- Match incoming deals against thesis dimensions
22- Score alignment across criteria with weighted importance
23- Identify thesis exceptions worth considering
24- Flag anti-thesis or exclusion criteria matches
25
26### Portfolio Construction Fit
27- Assess portfolio concentration and diversification
28- Check against sector and stage allocation targets
29- Evaluate vintage year and deployment pacing
30- Consider follow-on reserve requirements
31
32### Thesis Evolution Tracking
33- Track thesis adjustments over fund lifecycle
34- Document thesis exceptions and rationale
35- Analyze deal flow patterns vs. thesis alignment
36- Support thesis refinement for successor funds
37
38## Usage
39
40### Match Deal to Thesis
41```
42Input: Deal summary, company data, sector classification
43Process: Compare against thesis criteria, score alignment
44Output: Thesis match score, alignment details, flags
45```
46
47### Triage Inbound Flow
48```
49Input: Batch of inbound deals
50Process: Rapid thesis matching and prioritization
51Output: Prioritized list, pass recommendations, review queue
52```
53
54### Analyze Portfolio Fit
55```
56Input: Potential investment, current portfolio
57Process: Assess concentration, diversification, reserves
58Output: Portfolio fit analysis, construction implications
59```
60
61### Update Thesis Definition
62```
63Input: Revised thesis criteria, rationale
64Process: Update thesis model, recalculate pipeline matches
65Output: Updated thesis, pipeline re-scoring results
66```
67
68## Thesis Dimensions
69
70| Dimension | Typical Criteria |
71|-----------|------------------|
72| Sector | Software, Healthcare, Fintech, Consumer, etc. |
73| Stage | Pre-seed, Seed, Series A, Growth |
74| Geography | North America, Europe, Global |
75| Business Model | SaaS, Marketplace, Consumer, Deep Tech |
76| Check Size | $500K - $2M, $5M - $15M, etc. |
77| Themes | AI/ML, Climate, Future of Work, etc. |
78
79## Integration Points
80
81- **Deal Flow Tracker**: Automatic thesis scoring on deal entry
82- **Deal Scoring Engine**: Feed thesis match into composite score
83- **Proactive Deal Sourcing**: Guide sourcing toward thesis areas
84- **IC Memo Generator**: Include thesis alignment analysis
85
86## Best Practices
87
881. Clearly document thesis with specific, measurable criteria
892. Define "core thesis" vs. "opportunistic" boundaries
903. Track and document all thesis exceptions
914. Review thesis alignment quarterly with deal flow patterns
925. Evolve thesis thoughtfully as market conditions change
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