50+ responses to our QoE post a few weeks ago. Here's what we found.

professional profile

March 06, 2026

by a professional from University of California, Hastings College of Law in Petaluma, California, United States

A few weeks ago we posted asking for QoE recommendations. Got over 50 responses which was more than we expected, thank you to this amazing community! We've spent the last few weeks actually talking to a lot of them. Wanted to share a few honest observations in case it's useful to anyone going through this right now. The technical bar is high across the board. What ended up separating them wasn't skill, it was whether they were willing to work alongside someone looking at the commercial side of the business at the same time and actually share what they were finding. A lot of providers want to hand you a report at the end, which is useful. However, the ones we liked wanted to be in the conversation. The commercial questions, whether the revenue actually holds after the founder leaves, whether the customers are as sticky as they look, whether the sales motion survives a transition, are the ones that tend to fall through the cracks during diligence. Not because searchers aren't focused on these things themselves, but because there's a lot going on at that stage and something always gets deprioritized, and the nuances are incredibly easy to miss. We learned more from this process than we expected. If any of it would be helpful to share, feel free to DM me.
3
2
70
Replies
2
commentor profile
Reply by a searcher
from Carnegie Mellon University in Boulder, CO, USA
Was there a standout provider that you liked?
commentor profile
Reply by a professional
from University of California, Hastings College of Law in Petaluma, California, United States
Hi @redacted‌, thanks for asking! A few stood out but what we found is that the best provider really depends on the deal. Size, sector, complexity of the revenue model, whether there are earnout structures involved. Their position on AI. We ended up with a short list where different providers are the right fit for different situations rather than one that works for everybody and everything. What separated the ones we trust is that they asked good questions about our client's specific deals before we had even engaged them. Pattern recognition built from doing a lot of these at LMM deal sizes. Happy to share more specifics over DM if helpful.
Join the discussion