Building in public is often mistaken for a highlight reel. Most founders share the growth charts, the successful fundraises, and the product launches that trend. At Total Ventures, we take a different approach. We view our portfolio as a series of experiments. For an experiment to be useful, the results must be documented regardless of the outcome.
When a portfolio company hits a significant threshold—or fails to meet a projected target—we conduct a startup milestone post mortem. This is not a performative exercise for social media engagement. It is a factual, understated analysis of what happened, why it happened, and what we are changing as a result.
The Purpose of the Post Mortem
A startup milestone post mortem serves two primary functions within our team. First, it forces the lead operator to move past the emotional response of a win or a loss. Second, it creates a searchable record of institutional knowledge that other projects in the portfolio can reference.
We do not post filler. We do not participate in trending threads. We write these post mortems because they are the most efficient way to transfer lessons across a distributed team. If one product update fails because of a specific friction point in the onboarding flow, every other product in the portfolio should know about it before they ship their next update.
Structuring the Analysis
We follow a specific template for every startup milestone post mortem. By keeping the format consistent, we make it easier for our team and our audience to extract the signal from the noise.
The Objective Data
We start with the facts. We look at the metrics that were tracked leading up to the milestone. If a launch did not result in the expected user acquisition, we list the actual numbers against the internal projections. We avoid qualitative descriptors like "disappointing" or "surprising" in this section. We focus on the delta between the expectation and the reality.
The Hypothesis Review
Every product update we ship is based on a hypothesis. For example, we might believe that moving a specific feature behind a login wall will increase account creation. In the post mortem, we revisit that original hypothesis. We ask if the logic was sound but the execution was flawed, or if the hypothesis itself was based on a misunderstanding of user behavior.
The Operational Delta
This is where we identify the specific actions that led to the outcome. If a milestone was cleared ahead of schedule, we look for the leverage points. Did a change in the data layer improve performance enough to reduce churn? Did a shift in the messaging on the landing page improve the conversion rate? We look for the specific, technical, or operational changes that moved the needle.