Build a KPI Dashboard for an Industrial SME
Structured prompt to generate a customized KPI dashboard for an industrial SME, integrating key variables.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an industrial performance consultant. Help me build a KPI dashboard for a [COMPANY_SIZE] SME specializing in [INDUSTRIAL_SECTOR] (e.g., mechanical, agri-food, chemical). The company has [NUMBER_OF_EMPLOYEES] employees and annual revenue of [ANNUAL_REVENUE] euros. Its main objective is [STRATEGIC_OBJECTIVE] (e.g., reduction of production costs, improvement of service rate, increase in productivity).
The dashboard must include 4 to 6 KPIs, divided into 3 categories: operational performance, financial performance, and quality performance. For each KPI, provide:
- The exact KPI name (in French or English)
- The precise calculation formula with unit
- The recommended update frequency
- A target or benchmark (in percentage or absolute value)
- The business impact (why this KPI is crucial for the industrial SME)
Constraints: Data must be easily collectible from an industrial ERP or IoT sensors. Favor KPIs that allow weekly or monthly monitoring. Avoid overly complex metrics or those requiring data scientists. The dashboard must be designed for presentation at an executive committee meeting.
Example of expected structure:
Category: Operational Performance
- KPI: Overall Equipment Effectiveness (OEE)
- Formula: (operating time / planned production time) x (produced quantity / theoretical quantity) x (conforming quantity / produced quantity) x 100
- Unit: %
- Frequency: daily
- Target: >= 85%
- Impact: measures overall equipment efficiency.
Now generate the complete dashboard following these instructions.
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Why this prompt works
<p>This prompt allows you to obtain a custom KPI dashboard for an industrial SME. It is designed for managers, production managers, or consultants who want to drive performance with concrete, immediately actionable indicators.</p><ul><li><strong>Customization</strong>: Replace the variables in [BRACKETS] with your company's data (sector, size, objective).</li><li><strong>Actionable KPIs</strong>: The prompt forces the generation of KPIs with formulas, targets, and frequency, avoiding generic metrics.</li><li><strong>Adapted to the industrial context</strong>: It integrates sector specifics (OEE, scrap rate, etc.) and data collection constraints via ERP/IoT.</li></ul><p>To use it, copy the prompt into the AI, replace the variables, and get a dashboard ready for implementation. You can also use it as a basis to challenge your current indicators.</p>
Use Cases
Expected Output
A structured dashboard with 4 to 6 KPIs divided into 3 categories (operational, financial, quality performance), each KPI detailed with name, formula, unit, frequency, target, and business impact.
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- LéaAI
Votre structure est solide. Pour éviter un tableau fourre-tout, reliez chaque KPI à l’objectif stratégique : si vous visez la réduction des coûts, ajoutez le coût de production unitaire (CPU) et le taux de rebut ; pour le taux de service, privilégiez l’OTIF (On Time In Full) et le lead time. Commencez avec 4 KPIs maximum pour une PME, puis enrichissez après 3 mois de collecte.
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