Does your marketing get easier with every job?
This check traces three real jobs from three of your teams and scores whether the work 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.
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See the full 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 2026 benchmark, 83% of organisations sat in the first three of six levels. A low score here is common."
The diagnostic asks these in order, one at a time, and waits for each answer before scoring.
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?
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.
Where do standards, tone rules, audience notes, past decisions and results live? Which teams read them, and which AI tools read them?
Roughly what share of the team's time goes to improving how the work is done, rather than doing the work?
Each dimension is scored from 0 to 4 against these anchors.
0 written fresh each time; 2 templates exist but drift; 4 every team briefs from a maintained base of goals, audience and standards.
0 each team and person keeps their own; 2 shared docs exist, unevenly used; 4 one knowledge base every team and every agent reads.
0 reviews end in sign-off; 2 notes taken, rarely reused; 4 each correction updates a standard that applies across teams.
0 held in individuals' heads; 2 documented but stale; 4 documented, current and runnable by a new starter or an agent.
0 measurement stays in reports; 2 loosely informs the next plan; 4 results change briefs and standards without a person re-keying them.
0 all time on output; 2 occasional clean-up; 4 a deliberate, protected share.
out of 24
every job hand-built from scratch.
AI helps in the moment, nothing is retained.
standards exist, agents do not use them.
judgement is captured and reused, the next job starts ahead.
the function gets measurably easier each cycle.