Growth · Notes

Growth: A Note on Niche and Automation

A short entry on how to quickly capture growth hypotheses, relying on niche, automation, and a minimal set of metrics.

Introduction

Growth isn't about "magic channels." It's about the right leverage in a specific niche, amplified by automation.

If you look at companies that grew through speed, not budget, they almost always follow the same pattern:

  1. A clear niche with an understandable pain point.
  2. A small hypothesis, verifiable by a single number.
  3. Automation of one step → quick verification without overloading the team.

This note is a way to quickly record an experiment so that it's clear: what we're doing, why we're doing it, how we measure it, and what we decide after the data.

Basic Growth Note Template

1) Context

What did you notice? Why this niche? What micro-opportunity emerged?

Example: "For micro-tutors in languages, ~80% of leads disappear after the first touch. We can test a low-touch sequence that automatically re-engages these people."

2) Hypothesis

Short, specific, tied to a single metric.

Example: "If we launch an automated sequence of three messages, +15–20% of leads will re-engage."

3) Action

What exactly are we doing? Where does the change appear? What is the core of the action?

Example: "Adding three short Telegram messages: example of result, mini-benefit, trigger for dialogue."

4) Measurement

Metrics should be minimal—no more than three.

Example:

  1. Share of re-engaged leads
  2. CTR of the first step
  3. Those who reached payment

5) Review Window

When exactly do we look at the data?

Example: "The first 72 hours after launch."

6) Ready-made Decisions

To avoid getting stuck in an endless "it seems to be working."

Example:

  • more than 20% growth -> scale
  • < 5% → close
  • 5–20% → look for option B

Questions to refine the experiment

  1. Why this niche now, and not another?
  2. What micro-problem is truly blocking growth?
  3. What can be automated within 24 hours?
  4. What does minimal success look like?
  5. What conditions signify failure?
  6. Can the idea be explained in 30 seconds to someone "not in the know"?

My working approach

I take a segment with a frequent and similar pain, choose one channel where automation provides real leverage, and record in a note:

— where exactly the new step is inserted, — who will see it first, — what metrics determine the fate of the hypothesis, — what amount of data can be collected in the first window.

This format disciplines: any idea turns into a small operation that can be explained in a minute and tested in a couple of days.