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Most teams have the data but they don't have the synthesis. Sales notes, campaign stats, support tickets, competitor updates — it all piles up unread while decisions get made on gut feel. This results in disconnected campaigns, repeated mistakes, and strategy that drifts because nobody's connecting the dots.
An AI briefing layer fixes this. You paste in your raw inputs, ChatGPT synthesises them into a structured brief, and your team starts the day aligned on what actually matters.
Try this prompt:
You are a senior marketing strategist. I'm going to paste in raw information from across my marketing operation. Your job is to synthesise it into a clear daily briefing.
Using only what I provide, output:
1. TOP PRIORITIES — the 2-3 things that need attention today and why
2. RISKS AND FLAGS — anything that looks off, declining, or needs a decision
3. OPPORTUNITIES — patterns or signals worth acting on this week
4. RECOMMENDED ACTIONS — 3-5 specific next steps, ranked by impact
Keep each section tight. No padding. Flag uncertainty where the data is thin.
Raw inputs:
[Paste in: campaign performance, customer feedback, Slack updates, competitor changes, CRM notes, analytics — whatever you have]
Use the output to run your morning standup, brief your team, or just decide where to focus. The brief becomes your filter. Everything else is noise.
Happy prompting!
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Last week Viktor wrote a brief, built a landing page, and opened a pull request.
Last week, Viktor wrote a campaign brief, built a landing page, opened a pull request, generated a board-ready PDF from live Stripe data, and sent a follow-up email to a churned customer. All from Slack. Same colleague that also pulls your reports and monitors your dashboards. 5,700+ teams. 3,000+ integrations.
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