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OpenBlock Labs: Launch strategy, and the instrumentation to know if it worked.

Early-stage companies usually instrument last, which makes the first year of growth data unrecoverable. We did it in the other order: define the motion, then build the analytics framework underneath it, so the launch produced evidence instead of anecdotes.

Nav Singh

Former a16z Partner · Head of RevOps at HeyGen and Semgrep

Client
OpenBlock Labs
Role
Growth advisory: launch strategy and analytics
Years
2026
Category
Onchain data · Early stage
0 → 1
Growth analytics framework
Pre-launch
Instrumented, not retrofitted
Defined
Go-to-market motion and ICP
Launch
Strategy and sequencing
Artifact 01Foundation, built in stepsStylized · figures obfuscated
0 → 1
Pre-launch: instrumented, not retrofitted. The shape is stylized. It shows the kind of result, not client data.

The problem with instrumenting last

Almost every early-stage company builds its analytics after it needs them. The launch happens, traction arrives or does not, and six months later someone asks which channel drove it and finds out the answer is unrecoverable. You cannot backfill events that were never sent.

OpenBlock Labs was heading into a product launch with the chance to do it the other way around.

Motion first, then measurement

We started with the go-to-market motion, because you cannot instrument a funnel you have not defined. Who the product is for, what the first valuable action is, what a good week looks like, and which of those are worth an event.

Then the data infrastructure to track exactly those things, built before the launch instead of bolted on after it. The framework covered the path from first touch through to activation, so the questions people ask after a launch had answers waiting for them.

The payoff is speed. When launch data arrives already structured, the team spends its time deciding what to do next instead of reconstructing what happened.

01

Motion defined first

ICP, positioning and launch sequence agreed before a single event was specified.

02

Instrumented before launch

Data infrastructure built ahead of the moment it was needed, so nothing had to be reconstructed later.

03

Insight, not dashboards

Built to answer the specific questions the team would ask after launch, rather than to fill a dashboard.

Questions people ask about this work

How early should a startup build growth analytics?

Before the launch you want to measure. Events cannot be backfilled, so waiting leaves a permanent hole in your history at exactly the moment the data is most valuable. It does not need to be elaborate either: a defined activation event, clean identity, and channel attribution will answer most of the questions a seed-stage team actually has.

What does a growth advisor do for a pre-launch company?

Force the decisions that are easy to defer. Who this is for, what the first valuable action is, and how you will know whether the launch worked. Those answers determine the instrumentation, and the instrumentation determines whether the next six months run on evidence or on opinion.

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