What Entrepreneurs Can Learn from The Signal and the Noise
Marisol Fenn had built three product dashboards in eighteen months, each one promising to finally show her which growth experiment was working. Every morning she opened a spreadsheet crowded with sign-up spikes, churn dips, and social mentions, and every morning she felt slightly more confident and slightly more lost. Investors wanted a story: which channel was the breakout, which feature was the killer one. Her cofounder wanted certainty before the next funding conversation. But when Marisol traced last quarter's best week back to its cause, she found a single unremarkable email that happened to land on a slow Tuesday, buried under a dozen metrics that looked busier and meant nothing. She began to wonder whether the dashboards were helping her see the business or just giving her more numbers to be wrong about with confidence.
The whole book, compressed
This edition works through 4 core lessons — take them one at a time, not all at once.
What's different for your conditions
Tap whichever ones sound like you. Nothing here is sent or saved — it's just for your own noticing.
0 of 5 selected
The core lessons, applied to you
Reading the dashboard instead of the mood
Marisol's instinct was to chase whatever metric moved most that week. A steadier approach treats most daily swings as noise and asks which handful of indicators have actually predicted retention or revenue before, then watches only those closely.
Sometimes an early, quiet indicator really is the first sign of something new, and no historical pattern will flag it in time. Practice: before reacting to any metric, ask whether it has predicted an outcome at least twice before.
Before reacting to any metric, ask whether it has predicted an outcome at least twice before.
Treating the plan as a moving estimate
Instead of locking into one version of the business plan and declaring it right or wrong at the next board meeting, Marisol can treat her growth forecast as an estimate that shifts a little with each week's evidence, neither abandoned at the first bad number nor defended past the point of usefulness.
Investors and teams sometimes need a fixed target to coordinate around, and constant revision can look like indecision. Practice: state the current forecast as a range, and note explicitly what evidence would move it up or down.
State the current forecast as a range, and note explicitly what evidence would move it up or down.
Judging pitches by accuracy, not swagger
The founders and advisors who sound most certain in a pitch meeting are not necessarily the ones whose predictions hold up later, since confident delivery is often rewarded by investors and press regardless of a track record. Marisol can learn to separate a compelling narrative from a demonstrated forecasting record.
Some genuine expertise really does come across as calm confidence, so tone alone cannot fully sort signal from noise. Practice: ask any confident forecaster, including yourself, for one past prediction and how it actually turned out.
Ask any confident forecaster, including yourself, for one past prediction and how it actually turned out.
Building a company that can be wrong in public
The steadiest founders hold their roadmap loosely, treat each quarter as new evidence rather than a verdict on their worth, and stay genuinely curious about the ways their assumptions might be missing something. For Marisol, this means fewer sweeping pronouncements to the team and more small, honest corrections made early, before a shaky assumption has shaped a year of decisions.
The tension for Marisol sits between updating gradually and reading incentives correctly: investors reward decisive, confident-sounding pivots, but disciplined updating often looks slow and hedged from the outside. The way through is to separate the internal process from the external message: keep the honest, incremental forecast for herself and her team, while communicating decisions to outsiders with clear reasoning rather than manufactured certainty.
Name one thing, honestly
- Which metric in your business have you been treating as a strong signal without ever checking whether it predicted anything before? - Where have you rewarded confident-sounding advice over a track record of being right?
Good. Now look back at the "Try this" line under whichever lesson feels most connected to what you just wrote, and treat that as this week's actual assignment — not all 4 at once.
The practices from this edition
0 of 3 selected
Run this for seven days
Ask any confident forecaster, including yourself, for one past prediction and how it actually turned out.