Behavioural DD for founder teamsBehavioural DD

Reduce founder team execution risk
before you invest

Behavioural Due Diligence gives investors a layer of insight and data that the current venture assessment process cannot capture.

Why it matters

As AI commoditises building,
founder team behaviour becomes the moat.

What's assessed today

Interviews Background checks Personality tests

All static, at best behaviour, and mostly on the individual, not the team.

What we bring to light

Founder team behaviour and blind spots, causing execution risk.

Relationship foundation

trust, exposure, decision rights

Team + individual behaviour

how they execute, together and alone

Crisis navigation

under setback and conflict

And a deeper read on the buckets you already test, like founder-market fit.

What you get

Give your IC a clear read
on founder team risk, in one grid.

Founder Operating Scan ยท illustrative

Synca ยท founder team ยท Lisa + Tim

Seed ยท AI calendar coordination ยท 2 cofounders

Overall Watch ยท High confidence
Perspective
Team Lisa Tim

Signal grid

Overview (4) Granular (15)
4 CATEGORIES
2
Strong
1
Watch
1
Risk
01Risk

Cofounder relationship

Asked separately, the two describe who actually decides differently. One says it's shared, the other names himself. Neither flagged it as a problem.

02Watch

Team execution dynamic

Communication flow is the friction. The technical and non-technical cofounder lose detail translating between each other, more so as load rises.

03Strong

Crisis navigation

When a real setback landed, their language stayed specific and owned the call, no hedging or blaming the market. How they handle bad news, not how they say they would.

04Strong

Founder-market fit

Reaches for specific customer objections and edge cases unprompted, the texture of someone still in the problem, not a rehearsed pitch.

Deep-dive questions

For each Watch and Risk, a specific question to pressure-test it and guide mitigation.

Illustrative sample with a fictional founder team. Not a real assessment.

How it works

From answer to verdict.

Answer captured

Matched to rubric

Signal + evidence

Verdict

STRONG / WATCH / RISK

How we get the signal

Behaviour, not personality. 21 days under changing conditions, not a one-off test.

10 minutes a day. 5,000+ words of language data per founder to analyse, the equivalent of 2 to 3 investor interview calls.

Both founders, solo and as a team. Paired prompts surface the team dynamic from the comparison.

How we evaluate it

Anchored rubrics. Every score tied to observed markers, calibrated against venture research.

Confidence tier on each score. High, medium or low, by how much was observed and how consistent it was.

Pattern detection. Linguistic, drift and cluster signals tracked across the 21 days.

What the score is anchored to

Read against your bar and the market bar.

Lens 1

Your portfolio

Calibrated to your fund's reality, not a generic database.

portfolio rangemedian
Founder team position

Lens 2

The wider market

Calibrated against founders across stages and geographies.

market rangemedian
Founder team position

Each lens applies twice, once for the individual founder and once for the team.

For founders

Real behaviour, not a one-off test.

Each cofounder spends about ten minutes a day for 21 days, by voice or text, in the middle of real operating life. No prep, no test conditions.

app.leanonme.ai/lisa
SV Sandbox VC requires this as part of your diligence
Day 14 of 21

Today's session

about 10 minutes

One daily prompt

A short, specific scenario, by voice or text.

Adaptive follow-up

Adaptive follow-up

Follow-ups go deeper where the signal is, never the same script twice.

Record voice Type instead

What the founder gets

Team report + blind spots

Individual deep dive

Risks to mitigate

The data

Behavioural data on founders
you can't get anywhere else.

A bespoke dataset on founder and team behaviour, benchmarked against the market and your own portfolio or a selected peer group.

Structured knowledge base

Unique behaviour signal

Calibrated by practitioners

1,200+

research & practice sources

4

behavioural categories

15

scored dimensions

5,000+

words analysed per founder

2

benchmarks: portfolio + market

Structured data, not model output. Figures are approximate and updated continuously.

Underwrite the founder,
not just the deal.

Now onboarding pilot partners across Europe and Africa. VCs, accelerators, family offices and angel networks welcome.