Does Revenue Story use a benchmark or AI?

No. The result uses visible deterministic rules and only the user's inputs. It is not compared with other customers.

When should I take the Revenue dependency model into a workshop?

When the unresolved work requires team challenge, evidence reconciliation, ownership, and a committed organizational decision.

Core strategy instrument · Calculator

Revenue Story

Q: What does Revenue Story produce?

A versioned Revenue dependency model with visible reasoning, evidence status, next action, review date, and structured exports.

Make concentration, repeatability, forecast variance, and attribution confidence visible.

Start with my inputs

No account. No email gate. The primary result and exports are free.

Work locally. Strategic working text stays in this browser by default. Do not enter confidential, regulated, privileged, customer-identifying, or personal information.

Visible formula and sensitivity

Change an assumption. See the model move.

After the first complete result, changing a numeric input recalculates the model. Ranges and answer-changing assumptions stay visible in the artifact.

Forecast variance equals actual minus forecast, divided by forecast.
A dependency is fragile when channel share is at least 40%, recurring share is below 50%, absolute forecast variance is at least 20%, or attribution confidence is below 50%.
Estimated repeatable share sums each revenue share multiplied by its recurring share.

Definition and worked example

See the method before entering your own evidence.

Who should use it: Reconcile the growth narrative with the mechanics producing revenue.

Decision basis: The revenue dependency model compares concentration, recurring share, forecast variance, attribution confidence, retention, and the narrative claim. Forecast variance equals actual minus forecast, divided by forecast.

Read the complete versioned method · Read the highest-intent answer

Clearly fictional input

Channel or segment: Founder-led referrals
Revenue share (%): 46
Recurring share (%): 35
Forecast amount or range midpoint: 850000
Actual amount or range midpoint: 620000
Attribution confidence (%): 80

This sample runs through the same method and artifact structure as your own work.

Structured work

Build the revenue dependency model

Every field affects the result or the working artifact. Add up to 12 records.

Ungated result

Your revenue dependency model

Method 1.0.0 · Input schema 1.0.0
Artifact · Due · Review

Decision state

Input confidence

Strongest evidence

Riskiest input

Do within seven days

Limits

Import a prior JSON Download blank template Watch the 90-second walkthrough

Carry the work forward

Create a Workshop Pre-Read

The default pre-read includes versions, result, open questions, and requested outcome. Your raw working text stays out unless you deliberately include it.

Include my strategic working text

Where the free tool stops

The artifact makes the issue visible. The engagement resolves the organizational decision.

Petrichor helps the team reconcile disagreement, challenge evidence, assign ownership, and leave with a committed decision. You will not be asked to recreate this artifact.

Take this into the matching Petrichor work

Self-serve

Run this on your own company

This scored you once. The kit is the full rubric, built to paste straight into your LLM. Feed it to Claude or ChatGPT and score everything, on your own data. Includes the paste-ready file plus the designed PDF.

Get the kit for $499

Transparent method

How this instrument reaches a result

The revenue dependency model compares concentration, recurring share, forecast variance, attribution confidence, retention, and the narrative claim. Forecast variance equals actual minus forecast, divided by forecast.

See the fields and decision basis

Channel or segment: required input used in the result and artifact.
Revenue share (%): required input used in the result and artifact.
Recurring share (%): required input used in the result and artifact.
Forecast amount or range midpoint: required input used in the result and artifact.
Actual amount or range midpoint: required input used in the result and artifact.
Attribution confidence (%): required input used in the result and artifact.
Retention evidence: optional input used in the result and artifact.
Narrative claim: required input used in the result and artifact.

Questions about Revenue Story

What do I leave with?

A versioned revenue dependency model with visible reasoning, evidence status, next action, review date, and structured exports.

Does the result use a benchmark or AI?

No. The result uses the visible deterministic rules for this instrument and only the inputs you provide. It is not compared with other customers.

When does the paid work begin?

After the artifact. Petrichor helps the team challenge evidence, reconcile disagreement, assign ownership, and commit to the organizational decision without making you repeat the free work.

The method is versioned. No cross-customer benchmark is used. Review the full method and change history, the relevant plain-language answer, or the permanent Tool Trust Charter.

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