---
name: marketing-go-see-protocol
description: "The go-see protocol's structured walk pointed at commercial data — verifying at the source systems, the customer relationship management (CRM) and enterprise resource planning (ERP) systems, that a visibility board or marketing key performance indicator (KPI) tree's numbers are actually true, not just true on the dashboard built from them. Use when: You want to verify that a visibility board or marketing KPI tree reflects what's actually true in the CRM or ERP, not just what a sync job reported. A data-sync issue has happened before and you want a real, repeatable check rather than trusting it's stayed fixed. You want to catch channel-attribution drift or reporting gaps before they shape a budget decision. Not for: The check is genuinely a one-off, not a repeatable practice — a work instruction adds structure a single check doesn't need. You'd be walking the data to catch someone doing something wrong rather than to verify the numbers themselves — that's not what a go-see walk is for."
---
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# Marketing go-see protocol

The go-see protocol's structured walk pointed at commercial data — verifying at the source systems, the customer relationship management (CRM) and enterprise resource planning (ERP) systems, that a visibility board or marketing key performance indicator (KPI) tree's numbers are actually true, not just true on the dashboard built from them.

Family: Visual management · Format: .xlsx · Domain: commercial

## What it is

A marketing go-see walk is a gemba walk with real technique behind it, pointed at commercial data instead of a shop floor — the same work instruction shape (major step, key point, reason) the core go-see protocol already applies to observation. Describe the walk roughly, and real steps get drafted: which numbers to re-check directly at the source system, how to sample real records rather than trust the dashboard, and why each technique matters.

## When to use it

Use it when:

- You want to verify that a visibility board or marketing KPI tree reflects what's actually true in the CRM or ERP, not just what a sync job reported.
- A data-sync issue has happened before and you want a real, repeatable check rather than trusting it's stayed fixed.
- You want to catch channel-attribution drift or reporting gaps before they shape a budget decision.

Not when:

- The check is genuinely a one-off, not a repeatable practice — a work instruction adds structure a single check doesn't need.
- You'd be walking the data to catch someone doing something wrong rather than to verify the numbers themselves — that's not what a go-see walk is for.

## How to fill it in

- **purpose** — What does this walk verify, and what would go unnoticed without it?
- **steps** — Drafted from your description of the walk — major steps, each with zero or more key points and, for every key point, the reason it matters.
- **narrative** — Drafted from the steps actually built.

## What good looks like

The example below checks Beacon Analytics' visibility board and marketing KPI tree against the real CRM and ERP records — three of four steps have a real key point tracing back to a genuine sync-job finding, and the fourth, channel misattribution, is honestly left flagged rather than padded.

Full worked example, on-screen and as a downloadable .xlsx: https://www.katafacts.com/katas/marketing-go-see-protocol

## Common mistakes

- **Re-reading the dashboard more carefully instead of checking the source system it's built from.** — A dashboard built from a broken sync can look internally consistent while being wrong — only checking the CRM or ERP directly catches that class of drift.
- **Asking the marketing ops analyst leading questions about the known sync issue instead of open ones.** — A leading question gets confirmation of what you already suspect, not a real, fresh answer about what's actually slow or manual right now.

## What it connects to

Upstream:

- **Marketing key performance indicator (KPI) tree** (`marketing-kpi-tree`) — A driver metric named there (like sync-data completeness) is exactly what this walk exists to verify at the source, not just trust as fixed.
- **Visibility board** (`visibility-board`) — A go-see walk exists to verify the board's own numbers against reality, the same relationship the core go-see protocol has with a visual board.

## Where AI helps

Judgement — stays with you:

- Deciding whether a step genuinely needs a key point or is simple enough not to
- Deciding what a drifted number actually means for the team

Analysis — AI helps:

- Drafting major steps, key points, and reasons from a description of the walk
- Drafting the narrative from the steps actually built

Drudgery — automated:

- Counting steps and key points
- Identifying which steps still have no key point
- Exporting to xlsx in the house format

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Marketing go-see protocol is licensed [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Attribution: Katafacts (katafacts.com).

## Using this skill

Apply this method as part of whatever broader task, instructions, or deliverable you're already working on -- it's a method to use, not a standalone conversation to start. There is no generation tool for this catalogue yet, so draft the artifact's actual content yourself, following the fields above, the same way a person filling this out by hand would. The canonical guide page and a downloadable worked example (.xlsx) are at https://www.katafacts.com/katas/marketing-go-see-protocol.
