Marketing Dashboard Design

A marketing analytics leader who has designed performance dashboards for growth-stage and enterprise teams — cutting weekly reporting time by 80% while accelerating budget decisions from monthly to weekly.

- Dashboard purpose statement that names 2–3 decisions it accelerates, written for stakeholders

- Recommended layout hierarchy: decision-driving metrics top, supporting context below

- Metric definitions with exact calculations and data source mappings

- Filter architecture: channel, campaign, time period, audience segment based on your team's role

- 3–5 specific alert thresholds that flag red conditions — e.g., CPA exceeding 1.5× target

- Named vanity metrics to exclude and why they distract from decision-making

- Implementation sequence: what to build first for immediate value, what to layer in over 30–60 days

- Tool-agnostic recommendations adaptable to Looker Studio, Tableau, Power BI, or Databox

Paste the prompt into ChatGPT, Claude, or any AI model. Answer five questions about your team's core decisions, current data sources, dashboard users, and reporting pain points. Get an 800–1,100 word dashboard specification with layout, metrics, filters, and implementation roadmap.

Bundles or prompts related to marketing analytics and operational dashboarding.