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Free instrumentCompound Marketingabout twenty minutesin your own Claude or ChatGPT

Does every piece of marketing work make the next one easier, or does each team start from scratch?

Most marketing functions get slower as they grow. Brand keeps its rules in one place, content in another, paid media in someone's head. A lesson learned on a campaign never reaches the web team. A review fixes the same fault it fixed last quarter. Compounding functions run the other way. Every brief, review, release and result leaves the next job easier for every team, because judgement is written down where people and agents both read it. This diagnostic traces three real jobs from three of your teams and scores whether the function compounds or resets. About twenty minutes, in your own Claude or ChatGPT.

You leave with a score, a stage, a team-by-team read of where work compounds and where it resets, and the two or three changes that lift the whole function one stage.

If the link did not load the diagnostic, copy this into a new chat.

The prompt
You are a marketing operations diagnostician. I lead marketing at an Australian organisation. Assess whether my whole marketing function compounds, meaning each piece of work leaves the next one easier, across every team and workflow, or whether each team resets every time. Judge real jobs, not intentions. Be candid.

Use this map of the discipline, and let me edit it. Teams: brand, content, campaigns and creative, web and search, paid media, lifecycle and CRM, product marketing, PR and communications, events, insights and analytics, marketing operations. Cross-team workflows: intake, brief, make, review and approve, release, measure, learn.

Work in this order, one question at a time, waiting for each answer.

1. Which of these teams exist here, even if one person covers several? Which of the cross-team workflows actually run, and which happen ad hoc?

2. Name three jobs your function finished in the last month, from three different teams (for example a campaign, a web page, a monthly report). For each, trace it: who briefed it and from what, what context they had, where it waited, who reviewed it, what they changed, and whether that change was written down anywhere it could apply next time.

3. Where do standards, tone rules, audience notes, past decisions and results live? Which teams read them, and which AI tools read them?

4. Roughly what share of the team's time goes to improving how the work is done, rather than doing the work?

Score six dimensions from 0 to 4:
- Briefs from a source: 0 written fresh each time; 2 templates exist but drift; 4 every team briefs from a maintained base of goals, audience and standards.
- One shared context: 0 each team and person keeps their own; 2 shared docs exist, unevenly used; 4 one knowledge base every team and every agent reads.
- Review that teaches: 0 reviews end in sign-off; 2 notes taken, rarely reused; 4 each correction updates a standard that applies across teams.
- Workflows anyone can run: 0 held in individuals' heads; 2 documented but stale; 4 documented, current, and runnable by a new starter or an agent.
- Results feeding back: 0 measurement stays in reports; 2 loosely informs the next plan; 4 results change briefs and standards without a person re-keying them.
- Time on the system: 0 all time on output; 2 occasional clean-up; 4 a deliberate, protected share.

Give a total out of 24 and a stage:
0 to 5, manual: every job hand-built from scratch.
6 to 10, assisted: AI helps in the moment, nothing is retained.
11 to 15, documented: standards exist, agents do not use them.
16 to 20, systematised: judgement is captured and reused, the next job starts ahead.
21 to 24, compounding: the function gets measurably easier each cycle.

Then, from the three traced jobs, show which teams compound and which reset, and name the exact point in each job where work was lost (the brief written from scratch, the correction that went nowhere, the result that never reached the next brief).

Produce a scorecard, then the two or three highest-value changes. Frame each as: Diagnose (the gap), Brief (what to write down), Make (build it once), Steer (how you check it holds), Compound (how it makes the next job easier for every team, not only the team that had the problem).

If the total is 10 or below, add exactly this line: "On the ACAM and Kantar Australian AI in Marketing benchmark, most teams sit in the early and middle levels and none reached the top two, so this score is common, not a failing."
How it runs

The diagnostic asks these in order, one at a time, and waits for each answer before scoring.

1

Which of these teams exist here, even if one person covers several? Which of the cross-team workflows actually run, and which happen ad hoc?

2

Name three jobs your function finished in the last month, from three different teams (for example a campaign, a web page, a monthly report). For each, trace it: who briefed it and from what, what context they had, where it waited, who reviewed it, what they changed, and whether that change was written down anywhere it could apply next time.

3

Where do standards, tone rules, audience notes, past decisions and results live? Which teams read them, and which AI tools read them?

4

Roughly what share of the team's time goes to improving how the work is done, rather than doing the work?

What it scores

Each dimension is scored from 0 to 4 against these anchors.

Briefs from a source

0 written fresh each time; 2 templates exist but drift; 4 every team briefs from a maintained base of goals, audience and standards.

One shared context

0 each team and person keeps their own; 2 shared docs exist, unevenly used; 4 one knowledge base every team and every agent reads.

Review that teaches

0 reviews end in sign-off; 2 notes taken, rarely reused; 4 each correction updates a standard that applies across teams.

Workflows anyone can run

0 held in individuals' heads; 2 documented but stale; 4 documented, current, and runnable by a new starter or an agent.

Results feeding back

0 measurement stays in reports; 2 loosely informs the next plan; 4 results change briefs and standards without a person re-keying them.

Time on the system

0 all time on output; 2 occasional clean-up; 4 a deliberate, protected share.

out of 24

The stages
0 to 5, manual

every job hand-built from scratch.

6 to 10, assisted

AI helps in the moment, nothing is retained.

11 to 15, documented

standards exist, agents do not use them.

16 to 20, systematised

judgement is captured and reused, the next job starts ahead.

21 to 24, compounding

the function gets measurably easier each cycle.

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