Every investor has a thesis. Most of them are useless.
I say this with respect, because I have written a few useless ones myself. The typical investment thesis lives in a PDF somewhere, gets shared once during fundraising, and then sits untouched while the investor makes decisions based on gut instinct and FOMO.
A thesis that works is not a document. It is a decision-making filter that you apply to every opportunity, every day. It tells you what to say yes to, what to pass on, and most importantly, why.
This guide walks through building a thesis from scratch. By the end, you will have something you can actually use, not just something you can send to LPs.
Why Most Theses Fail
Before we build, let me diagnose the problem.
They are too broad. "We invest in early-stage B2B SaaS" is not a thesis. It is a category. It does not help you decide between two B2B SaaS companies competing for your last allocation.
They are too static. Markets move. A thesis written in 2024 may not hold in 2026. If your thesis does not evolve with the data, you are investing on autopilot.
They are not actionable. The best thesis in the world is worthless if it does not connect to your deal flow. If you cannot use your thesis to filter incoming opportunities in real time, it is decoration.
They lack conviction criteria. A thesis should tell you not just what sectors you like, but what specific attributes make a deal worth your capital. Without clear conviction criteria, every deal feels like it "could work."
The purpose of a thesis is not to describe what you invest in. It is to describe what you do NOT invest in. The sharper your "no" criteria, the more valuable your thesis becomes.
Step 1: Define Your Sectors
Start with sectors. Not industries. Sectors.
The difference matters. "Healthcare" is an industry. "Digital health for chronic disease management" is a sector thesis. "Fintech" is an industry. "Embedded finance infrastructure for vertical SaaS" is a sector thesis.
How to Choose
Start with what you know. Your professional background is a genuine edge. If you spent ten years in logistics, you understand supply chain pain points that a generalist never will. That domain knowledge translates to better deal evaluation and better board support.
Follow the data. Sector momentum is measurable. Capital flows, deal velocity, and exit multiples all point to where the market is heading. Do not chase what was hot last year. Look at what is accelerating now.
Pick two to four sectors, maximum. Spreading across too many sectors dilutes your expertise and your network. The best investors go deep in a few areas rather than shallow across many.
Validate with founders. Talk to ten founders in each sector you are considering. Ask them what problems they are solving, who their customers are, and what keeps them up at night. If the conversations consistently energize you, that is a signal.
The Sector Matrix
For each sector, document:
- Why this sector? The structural reason you believe it will grow.
- What is the timing catalyst? The specific change that makes now the right time.
- What is your edge? Why you (specifically) will find and support the best companies here.
- What are the risks? The biggest reasons this sector thesis could be wrong.
Step 2: Define Your Stages
Stage preferences matter more than most investors realize. The skills, networks, and capital required to add value at pre-seed are completely different from what matters at Series B.
Stage Spectrum
Pre-seed ($50K to $500K checks). You are betting on people and problems. Product may not exist yet. You need strong founder evaluation skills and comfort with high mortality rates.
Seed ($250K to $2M checks). Product exists, possibly with early traction. You are evaluating product-market fit signals and the team's ability to iterate. This is where conviction criteria become critical.
Series A ($1M to $5M checks). Product-market fit should be demonstrable. You are evaluating the scalability of the business model, the strength of unit economics, and the team's ability to execute a go-to-market strategy.
Growth ($5M+ checks). Metrics-driven stage. Revenue, growth rate, retention, and margin structure are all measurable. The question shifts from "can this work" to "how big can this get."
The Key Question
At which stage does your capital, expertise, and network add the most value? Be honest. If you cannot help a pre-seed founder hire their first engineer or land their first customer, pre-seed might not be your stage, even if the return multiples are attractive.
Most successful angel investors focus on one or two stages. Most successful emerging fund managers start with a single-stage strategy and expand later. Trying to play every stage from day one is a common mistake.
Step 3: Define Your Geography
Geography constrains your deal flow, your ability to support portfolio companies, and your exit opportunities. Be intentional about it.
Considerations
Where can you add value? If you have a strong network in the Southeast US, investing in companies based there gives you a genuine edge in making introductions, recruiting, and supporting the team.
Where is the market? Some sectors are concentrated in specific geographies. Fintech clusters in New York and London. Biotech in Boston and San Francisco. Climate tech in Scandinavia and Colorado. Go where the density is.
Remote versus local. The post-2020 world has made remote investing more common, but proximity still matters for early-stage companies. Board meetings, founder dinners, and recruiting events are harder from 3,000 miles away.
Emerging ecosystems. Some of the best risk-adjusted returns come from emerging startup ecosystems where valuations are lower and the competition for deals is thinner. But supporting companies in these ecosystems requires specific knowledge and networks.
A Practical Framework
Define your geography in concentric circles:
- Core markets (where you will actively source and lead deals)
- Opportunistic markets (where you will co-invest if the deal is strong)
- No-go markets (where you lack the networks and context to add value)
Step 4: Define Your Check Size and Portfolio Construction
Your check size determines your strategy more than most investors realize.
The Math
Check size drives portfolio size. If you have $1M to deploy and write $50K checks, you can build a 20-company portfolio. If you write $200K checks, you get five companies. Both strategies can work, but they are fundamentally different games.
Reserve allocation. Set aside 30% to 50% of your capital for follow-on investments in winners. The biggest mistake new investors make is deploying all their capital in first checks and having nothing left when their best companies raise again.
Target ownership. What percentage of a company do you want to own? At pre-seed, $100K might buy you 5% to 10%. At Series A, $1M might buy you 2% to 5%. Know what ownership level you need for the returns to justify your time and risk.
Step 5: Define Your Conviction Criteria
This is the step most investors skip, and it is the most important one.
Conviction criteria are the specific attributes that turn a "maybe" into a "yes." They are different from your sector and stage filters. Those tell you which deals to look at. Conviction criteria tell you which deals to fund.
Building Your Criteria
Here are the categories to define:
Team criteria. What founder attributes do you require? Domain expertise? Previous exit? Technical background? Be specific. "Great team" is not a criterion. "At least one founder with 5+ years of direct experience in the target industry" is a criterion.
Market criteria. What market characteristics do you require? Minimum TAM? Growth rate? Specific timing catalysts? "Large market" is vague. "Market growing at 20%+ annually driven by regulatory tailwinds" is specific.
Product criteria. What evidence of product-market fit do you need? Working product? Revenue? User engagement metrics? "Good product" is useless. "Net retention above 100% with at least 20 paying customers" is a standard you can measure.
Financial criteria. What financial benchmarks matter? Gross margins? Burn multiple? CAC payback period? Define the ranges you find acceptable at each stage.
Deal criteria. What deal terms do you require? Maximum valuation? Minimum ownership? Pro-rata rights? Board seat? Information rights?
The "Must Have" vs. "Nice to Have" Framework
For each criterion, classify it as either a must-have or a nice-to-have.
Must-haves are non-negotiable. If a deal does not meet every must-have, you pass. No exceptions. This is where discipline lives.
Nice-to-haves add conviction but are not required. The more nice-to-haves a deal hits, the stronger your conviction.
If you have zero must-haves, your thesis is too loose. If you have twenty must-haves, your thesis is too tight and you will never find a deal. Three to five must-haves is the sweet spot for most investors.
Step 6: Make It Actionable
A thesis document gathering dust is worthless. Here is how to activate it.
Connect Thesis to Deal Flow
Your thesis should be the first filter on every incoming opportunity. Before you read the deck, ask: does this match my sectors, stages, and geography? If not, pass immediately. Do not spend mental energy evaluating out-of-thesis deals "just in case."
Build a Scoring System
Assign weights to your conviction criteria. Score every deal you evaluate against this system. Over time, you will see patterns in which scores correlate with good outcomes.
A simple scoring system:
- Each must-have criterion: pass/fail
- Each nice-to-have criterion: 0 to 3 points
- Total score gives you a conviction ranking
Review and Update Quarterly
Set a quarterly review to update your thesis based on:
- Portfolio performance data
- Market shifts and new sector momentum
- Changes in your personal networks and expertise
- LP feedback (if running a fund)
From Document to Decision Engine
The shift from "thesis as document" to "thesis as active filter" is the single biggest upgrade most investors can make. When your thesis is embedded in your daily workflow, you make faster decisions, maintain consistency, and avoid the emotional traps that lead to bad investments.
This is exactly why we built thesis matching into the core of Brevoir. You define your sectors, stages, geographies, check sizes, and conviction criteria once. Our scoring algorithm then matches every startup and every market signal against your thesis in real time. Instead of evaluating every opportunity from scratch, you start with a score and focus your attention where it matters most.
See how Brevoir's thesis matching compares to traditional database filtering.→Your thesis is your edge. Build it with discipline, connect it to your deal flow, and let it evolve with the market. The investors who win consistently are not the ones with the flashiest theses. They are the ones who actually use theirs.
If you want to turn your thesis from a PDF into a working filter, Brevoir makes it possible. Set up your thesis in under five minutes and start seeing how every opportunity stacks up against what you are actually looking for.

Written by
Nabil A.
CEO and founder of Brevoir. Building the intelligence infrastructure for private markets. Previously obsessing over data, startups, and the future of investing.
@nabuhadReady to see it in action?
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