Does Bottom-Up TAM Builder 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 Bottom-up market model into a workshop?

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

Core strategy instrument · Calculator

Bottom-Up TAM Builder

Q: What does Bottom-Up TAM Builder produce?

A versioned Bottom-up market model with visible reasoning, evidence status, next action, review date, and structured exports.

Replace top-down percentages with eligible accounts, contract ranges, evidence, and confidence.

Start with my inputs

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

Work locally. Structured inputs calculate in this browser. 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.

Serviceable value equals eligible accounts multiplied by expected annual contract value.
Eligible accounts equal counted accounts multiplied by the serviceable percentage.
Confidence-adjusted value equals serviceable value multiplied by evidence confidence.
Raw and confidence-adjusted ranges are shown separately.

Definition and worked example

See the method before entering your own evidence.

Who should use it: Build a defensible serviceable market from buyer groups and economics.

Decision basis: The model uses counted accounts, serviceability, buyer, trigger, contract range, source, and confidence instead of a top-down industry percentage. Serviceable value equals eligible accounts multiplied by expected annual contract value.

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

Clearly fictional input

Buyer segment: US professional firms with 100 to 1000 staff
Counted eligible universe: 1800
Actually serviceable (%): 35
Budget owner or buyer: Chief operating or risk officer
Buying trigger: Client-facing AI workflow moves from pilot to controlled use
Annual contract low: 40000

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

Structured work

Build the bottom-up market model

Every field affects the result or the working artifact. Add up to 15 records.

Ungated result

Your bottom-up market 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 model uses counted accounts, serviceability, buyer, trigger, contract range, source, and confidence instead of a top-down industry percentage. Serviceable value equals eligible accounts multiplied by expected annual contract value.

See the fields and decision basis

Buyer segment: required input used in the result and artifact.
Counted eligible universe: required input used in the result and artifact.
Actually serviceable (%): required input used in the result and artifact.
Budget owner or buyer: required input used in the result and artifact.
Buying trigger: required input used in the result and artifact.
Annual contract low: required input used in the result and artifact.
Annual contract high: required input used in the result and artifact.
Count or economics source: optional input used in the result and artifact.
Evidence confidence (%): required input used in the result and artifact.

Questions about Bottom-Up TAM Builder

What do I leave with?

A versioned bottom-up market 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.

Related decision instruments: Spend-at-Risk Calculator · Reach Reality · Denominator Decoder