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Consistency audit

Consistency audit is licensed CC BY 4.0. Attribution: Katafacts (katafacts.com).

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1 · What it is

What it is

A message architecture written once and never checked again drifts, the same way any standard does — a rep rounds a number up, marketing gets ahead of the evidence, an unproven pillar quietly becomes a headline claim. This audit is the sustainment audit's exact shape, applied to a message architecture: restate what it was supposed to ensure, get a checklist of specific, verifiable practices, and see honestly which are still holding.

2 · When to use it

When to use it — and when not to

Use it when

  • A message architecture has been live long enough to check whether reps and channels are actually still using it consistently, not just whether it was written.
  • You want to catch message drift — a claim getting ahead of its actual proof, or each channel restating a number differently — before it becomes the norm.
  • You want to close a gap the message architecture itself flagged when it was first built (a pillar deliberately held back as unproven).

Not when

  • The message architecture was just published — give it real time in market before auditing it.

3 · How to fill it in

How to fill it in

Original objective
What was the message architecture supposed to ensure — which pillars, in what language?
Sustainment checks
Drafted from what the message architecture was supposed to ensure — verify what's actually still holding across reps and channels.
Narrative
Drafted from the checklist actually built.

4 · What good looks like

What good looks like

The example below audits the Beacon Analytics message architecture sixty days after it was published — including whether the pillar it deliberately held back as unproven has stayed out of real marketing claims, and finding a real drift where it hasn't.

Same example, as a downloadable xlsx workbook.

Download .xlsx

Sustainment audit

60-day audit — Beacon Analytics message architecture

Auditing: Beacon Analytics message architecture (message architecture)

Sam Cole, Sales Enablement · 2027-04-30 · 60 days since event

Original objective

Every rep and every marketing channel uses the same two proven pillars — the 48-hour deal-risk visibility target and the $310K quantified business-case reference figure — in the same substantiated language, with the unproven third pillar (trust over a familiar spreadsheet) deliberately kept out of claims until it's actually tested.

Sustainment checks

3 of 4 holding (75%)

  • Sales reps cite the 48-hour visibility target specifically, not a rounded or invented number
  • Case studies and the sales deck use the $310K figure as a cited reference result, not a guaranteed number for every buyer
  • Marketing site copy leads with the same two proven pillars as the message architecture, not the unproven third one
  • Customer success renewal messaging doesn't contradict the original pitch

At risk: Marketing site copy leads with the same two proven pillars as the message architecture, not the unproven third one

Narrative

Three of four practices are still holding: reps and case studies are both using the real, substantiated numbers rather than inventing rounder or bigger-sounding ones, and customer success hasn't drifted from the original pitch. The one gap is a real one — the homepage hero has jumped ahead of the evidence, leading with the exact spreadsheet-trust claim the message architecture named as unproven and explicitly held back. That's not a small copy-editing note; it's the specific failure mode a message architecture exists to prevent, showing up in production.

5 · Common mistakes

Common mistakes

  • Auditing a message architecture that was never actually rolled out to reps or channels.

    This audit checks whether real usage has drifted from a real standard — there's nothing to check if the message was never actually put into use.

  • Marking a practice as holding without actually checking the live sales deck, site copy, or a real call.

    The audit only has value if it reflects what's actually being said, not a hopeful assumption that the message architecture is being followed.

6 · What it connects to

What it connects to

upstream

  • Message architecture

    The architecture's own pillars and proof points are exactly what this audit checks against reality — including whether an unproven pillar has quietly crept into claims anyway.

downstream

    7 · Where AI helps

    Where AI helps

    Judgement — stays yours

    • Deciding how much time to give a message architecture in market before auditing it
    • Deciding what to do about a pillar that's drifted from its proven language

    Analysis — AI helps

    • Drafting specific, verifiable checks from a description of what the message architecture was supposed to ensure
    • Drafting the narrative from the checklist actually built

    Drudgery — automated

    • Tallying how many practices are still holding
    • Identifying which practices are at risk
    • Exporting to xlsx in the house format

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