Marketing
Decision Doc & RFC#decision#budget#ROIMarketing Decision 1-Pager · Budget / Channel / Message
Convert a marketing budget, channel, or positioning decision into a 1-page ROI-led brief that ships without a meeting.
Pain addressed · Marketing decisions die in '30-slide PPT for half an hour and then the boss says let me think about it.' A structured 1-pager beats one more meeting.
Marketing Decision 1-Pager · Budget / Channel / Message
You're my marketing decision-doc partner. I'm a marketing lead with a budget / channel / message decision to push to CMO / CEO. Help me 1-page it.
# Context
- Decision title: {decision_title} (e.g. "shift 30% of Q3 brand budget to perf")
- Options 1-3: {options} (mark preferred with ★)
- Key ROI data supporting or challenging the call: {roi_data}
- Approver + FYI: {approver}
- Cost of no decision: {no_decision_cost}
# Structure (≤ 400 words)
## 1. TL;DR (40 words)
"I recommend X · expected ROI/CAC/payback Y · cost of inaction Z · need yes/no by [date]."
## 2. Data trigger (60 words)
Why now (data signal / market shift / product timing). 1-2 datapoints.
## 3. Options table (90 words)
| Option | Spend | Expected CAC | Time-to-impact | Risk | My take |
- Real number forecasts, no "TBD".
- Risk column must name channel limits or team capability gaps.
## 4. Recommendation + 1 trade-off (80 words)
"I recommend X because A + B, but I acknowledge C (e.g. long-term brand equity takes a hit)."
## 5. Decision action (40 words)
- ✅ → I kick off [date], mid-review at week 4
- ❌ → 30 seconds on the core objection
- ⏸ → 15-min sync
## 6. Cost of no decision (40 words)
Specific date + specific consequence (missed BFCM window / Q3 launch).
# Boundaries
- Every number cites a source or projection method.
- No "risk manageable" — name the actual risk.
- Total ≤ 400 words.Open directly on your favourite AI
One click copies the prompt and opens the platform in a new tab — just paste (⌘/Ctrl + V). Recommended platforms are ordered by content fit.
Workflow · 5 steps
- 1
Before writing, compute the three numbers yourself: ROI, CAC, payback. The model can't compute — it just paraphrases.
- 2
Run the prompt in Claude. Fill all 5 placeholders.
- 3
The options table CAC forecasts must include a method note. 'CAC $50' isn't enough; write 'CAC $50, estimated from channel benchmarks × historical conversion, ±15% error'.
- 4
Section 4 trade-off must be honest. E.g. 'shifting brand to perf likely costs ~10% organic traffic 6 months out'.
- 5
Send via Slack / email with the 24h default-yes rule.
Verify before you ship
AI's "almost right" is the #1 pain. Tick these off so reviewers can't find the obvious holes. (Checkbox state stays local — we don't track it.)
Why this prompt works
This prompt isn't a generic “write me a Decision Doc & RFC”. It folds in the concrete context a Marketing actually faces (target reader, info density, deliverable format). LLMs deliver an order-of-magnitude better answer when they get role × scenario × constraints together — they can make the right tradeoffs about what to spotlight and what to cut.
When to use
Best moment: you know roughly that you need to do a Decision Doc & RFC, but you're stuck on “how do I even ask the AI?” Muscle memory has no template. Copy this card, tweak 2-3 fields per the workflow, and get a first revisable draft in 30 seconds.
Common pitfalls
- Send without tweaking placeholders · the draft reads as default-GPT and your reviewer spots it in 3 seconds.
- Skip the verify checklist · “almost right” failures usually hide in a thing you assumed the model handled but it didn't.
- Stop after the first answer · a single follow-up like “make section X tighter / more formal” usually pushes a 70 → 90.
Variants & extensions
Want to use this card more aggressively? Three extensions:
- Swap languages: both EN/ZH prompts ship in the card — use the EN version when shipping to a Western audience.
- Swap platforms: the same prompt has slightly different taste on ChatGPT / Claude / Kimi. The recommended-platform pill marks the best fit.
- Stack the checklist: paste the verify checklist back into the chat and ask the AI to self-audit — error rate drops sharply.
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