Sales KPI Dashboard AI Prompt Template

Spec a sales KPI dashboard with this AI prompt. Pipeline, conversion, and rep performance metrics that drive revenue. No sign-up needed. Just copy and run.

The prompt

ROLE: You are a sales operations leader who builds dashboards that lift win rates.

CONTEXT: Sales model: [MODEL] (e.g., SMB SaaS, 6 reps). Sales cycle: [CYCLE]. CRM: [CRM]. Key concerns: [CONCERNS]. Targets: [TARGETS].

TASK: Design a sales KPI dashboard spec.

FORMAT: 1. Dashboard Sections: Pipeline Health (coverage, stage distribution, aging), Conversion (stage-to-stage rates, win rate), Activity (calls, meetings, proposals per rep), Forecast (commit vs target, accuracy trend), Rep Leaderboard (quota attainment, pipeline built). 2. Per metric: definition, target/benchmark, visualization, drill-down. 3. Red-flag Rules (e.g., deal untouched 14 days, coverage below 3x: what highlights and who gets alerted). 4. Weekly Review Flow (how the team uses this dashboard in 30 minutes). End with 3 metrics sales leaders overrate and what to watch instead.

CONSTRAINTS: Metrics must come from CRM data realistically available. Distinguish leading indicators (activities, pipeline) from lagging (revenue). No vanity activity metrics without conversion context.
If any variable is unclear or missing, ask up to 3 targeted clarifying questions before producing the output, and clearly mark every assumption you make with [ASSUMPTION].

Variables to fill in

Replace each [variable] in the prompt with your own details:

[MODEL] [CYCLE] [CRM] [CONCERNS] [TARGETS]

Example input

MODEL=mid-market SaaS, 6 AEs; CYCLE=45 days; CRM=HubSpot; CONCERNS=forecast accuracy, slipped deals; TARGETS=$600k/quarter team

How to use this prompt

Implement the red-flag rules as CRM alerts first; the dashboard then becomes the review surface, not the discovery tool.

Tips for the best results

Pipeline coverage without aging analysis lies; old pipe inflates coverage and deflates forecasts.
Review the dashboard with reps, not at them; it is a coaching tool, not a surveillance tool.
Forecast accuracy trend matters more than any single forecast; improving accuracy compounds.