Use ChatGPT for Early Investment Screening

The Screening Problem

Investment teasers are designed to create interest. Screening is different. The question is not whether the company sounds attractive. The question is whether it deserves more time.

Good screening requires:

• A clear investment thesis.
• The ability to cut through promotional language.
• Fast extraction of decision-critical facts.
• Consistent documentation of rationale.

Upload the Material With a Role

Start by giving ChatGPT the document and a clear role.

Example prompt:

This is an investment teaser from a company we are considering. You are an investment analyst. Guide me through the decision-making process. Recommend whether to explore further and explain your reasoning.

This shifts the model from summarizer to structured reviewer.

Add the Investment Thesis

Generic recommendations are rarely useful. Add your actual criteria.

Example:

We invest in mid-cap, high-growth food and retail brands in Europe. We avoid capex-heavy models and look for strong unit economics from day one. How does this change your recommendation?

This makes the analysis more relevant and exposes misalignment faster.

Verify the Source

Even when the answer sounds credible, ask the model to point back to the document.

Useful follow-ups:

• Where is this assumption stated?
• Quote the line that supports this projection.
• Which metrics are missing?
• What would a skeptical partner challenge?
• What follow-up questions should we ask the founders?

Why It Works

The workflow does not automate investment decisions. It accelerates extraction and gives the analyst more time to think.

It can help maintain a consistent screening process, document rationale faster, and identify the next questions before a team discussion.

Watch the Failure Modes

AI can hallucinate, overstate confidence, or produce generic recommendations if the thesis is unclear.

Use it as a co-reviewer, not as the decision-maker.