For investors buying
A product review covering real usage data, direct customer conversations, and hands-on use of the product itself, so you know what you're actually buying, and what to do with it after.
A top-line adoption number can hide real concentration underneath it. That's the kind of thing that only shows up once someone checks who's actually using the product, not just how many logins there were.
A completeness number can cover a fraction of what it claims to represent, enough to look like solid evidence, not enough to actually be it. Knowing the difference matters before anyone treats the number as settled fact.
AI has made it easy to build something that looks impressive in an afternoon. What's harder to fake is whether real users keep coming back to it, get genuine value from it, and would notice if it disappeared. We check for that evidence, not just how good it looks on a call.
A product that was defensible two years ago isn't necessarily defensible now. Every review checks how much of the current advantage is genuinely hard to replicate, and how much of it is just a head start.
Not a slide deck. A report built from real usage data, direct customer conversations, and hands-on use of the product itself, so you know exactly what you're buying, not just what the deck says you're buying.
Product readiness
Needs work
What to improve
Simplify onboarding
Cut first-session drop-off by trimming setup down to three steps.
Ship an AI differentiator
Close the gap before AI-native entrants define the category for buyers.
Pay down feature debt
Retire the modules nobody touches before they become a diligence red flag.
Experience, Voice, and Data, combined so a finding isn't an opinion, it's proof.
See how we work →
How it works
Step 1
Talk and scope
A working session on what your own diligence team will actually scrutinise, and what to focus on, then we agree access to the data, roadmap, and customers.
Step 2
Assess
We use the product ourselves, dig into the usage data, and talk directly to real customers, not just the ones the founder will say nice things to. Every assessment also covers how exposed the product is to AI-native competitors, and where AI could add value after you buy.
Step 3
Report & debrief
Findings, risks and strengths alike, go into a draft you see first, then your full set of reports, walked through with you once you've read them.
Common questions
Why we built this
We've worked inside PE-backed companies, assessed the product side of acquisition targets, and helped founders prepare to raise or sell. We've seen financial, legal, and technical diligence be rigorous, every time. The product read almost never is. That's the gap we built Lean Otter to close.
Learn more about us
Your product, your product-market fit, and how you land your proposition sit at the heart of any business's value. We brought in Lean Otter to look at our product the way a buyer would, and they found opportunities for growth we'd missed from the inside.
CEO & Founder at OpenBlend & Vokser
