Investment Thesis Development
From a hunch to a falsifiable, evidence-ranked thesis with a research and monitoring plan.
Ideas are cheap; theses are engineered. We take an investment intuition and build it into a structured thesis: explicit causal claims, base rates for the outcome class, the evidence for and against, and a pre-registered plan for what would strengthen, weaken, or kill it.
Who this is for
Investors converting pattern recognition into a disciplined, repeatable position of view.
How the work is done
Structure the claim
The thesis decomposed into a hypothesis tree: the causal chain that must hold, each link stated so evidence can bear on it. Vague optimism does not survive this step, which is the point.
Consult the base rates
Reference classes for this type of bet, how often do situations like this resolve favorably, over what horizon, with what dispersion? The outside view disciplines the inside story before the inside story gets expensive.
Weigh and rank the evidence
Existing evidence mapped to each link and graded; the gaps ranked by expected value of information. The result is a research plan ordered by what would actually change conviction per dollar and week spent.
Pre-register the discipline
Signposts, tripwires, and review cadence: what observations upgrade conviction, what triggers exit from the view, and how the thesis will be scored later, the raw material of a genuinely improving process.
How the Investment Thesis Development engagement runs
We begin with the decision, use the evidence that can genuinely change it, and make the reasoning reviewable from first input to final handover.
What we need to begin
- The thesis in whatever form it exists, even a paragraph.
- The fund's mandate, hold period, check size, and concentration limits.
- Prior theses that worked and failed, which supply the base rates.
- The universe the thesis would be applied to, and how many opportunities it must generate.
If an input is unavailable, we state the gap, its effect on confidence, and the agreed workaround. It is never quietly ignored.
Your four-phase engagement map
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Phase 1
Structure the claim
Decompose the thesis into a hypothesis tree: the causal chain that must hold, each link stated so evidence can bear on it.
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Phase 2
Consult the base rates
Reference classes for this type of bet: how often such situations resolve favorably, over what horizon, with what dispersion.
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Phase 3
Weigh and rank the evidence
Map existing evidence to each link and grade it; rank the gaps by expected value of information into a research plan.
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Phase 4
Pre-register the discipline
Signposts, tripwires, and review cadence: what upgrades conviction, what triggers exit, and how the thesis will be scored later.
Methods and models we draw on
- Hypothesis trees
- Reference-class base rates
- Bayesian evidence grading
- EVPI-ranked research planning
- Premortem analysis
- Signpost & tripwire design
- Thesis scoring / calibration
Methods are chosen for the problem, not the brochure, expect a subset of these, applied properly, plus whatever the evidence demands.
The decision this enables
A thesis that earns conviction through structure, and tells you, in advance, how it dies.
Research, not investment advice
Jagdeep Ventures produces independent research and analysis for informational and educational purposes. To keep that boundary clear and professional:
- No recommendations. Nothing we deliver constitutes a recommendation, offer, or solicitation to buy, sell, or hold any security or financial instrument, or to pursue any investment strategy.
- No advisory registration. Jagdeep Ventures LLC is not registered as an investment adviser, broker-dealer, or research analyst with the SEC, SEBI, or any other regulator, and does not provide personalized investment advice. No fiduciary or advisory relationship is created by an engagement.
- Scope. Our work evaluates businesses, markets, and evidence quality. Decisions about whether and how to invest, including suitability, sizing, and timing, remain solely with the client and their licensed advisers.
- Conflicts. We disclose any material conflict of interest before accepting an engagement and do not trade in securities of companies under active coverage during an engagement.
- Jurisdiction. Clients are responsible for ensuring that use of our research complies with the laws and regulations applicable to them. Where an engagement touches regulated activity, we will say so and step back.
Analysis involves judgment under uncertainty; estimates can be wrong, and past results do not guarantee future outcomes.