Draft a Customer Support Process for an Industrial SME (B2B)
This prompt generates a complete customer support process adapted to the constraints of an industrial SME, with SLAs, channels, and escalation.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Draft a customer support process for an industrial SME (B2B) specializing in [industry_sector, e.g., machining, precision mechanics, metalworking]. The process must cover the following steps:
- Request Reception: specify channels (phone, email, web form, client portal), hours (define [business_hours, e.g., 8am-6pm weekday]), and first acknowledgment deadline (e.g., 1 business hour).
- Qualification and Categorization: describe how to sort requests by criticality (critical, high, normal) and type (technical, commercial, after-sales service) based on [products_services, e.g., CNC machines, spare parts, maintenance].
- Resolution: detail the diagnostic steps, escalation to [technical_team, e.g., engineering department] and use of [tools, e.g., CRM, ERP, knowledge base]. Include precise SLAs for each criticality (e.g., critical < 4h, high < 24h, normal < 48h).
- Closure: customer confirmation process, NPS satisfaction survey, and knowledge base update.
- Escalation Rules: if unresolved within SLA, escalate to [manager, e.g., workshop manager] after [escalation_delay, e.g., 2h].
SME constraints: simple process, limited resources, priority on responsiveness. Use precise industrial vocabulary (MTTR, MTBF, wear parts, maintenance schedule). Provide a summary table of SLAs and a checklist for the operator.
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Why this prompt works
<p>This prompt is designed to obtain a customer support process tailored to industry. It integrates sector specifics: technical vocabulary (MTTR, MTBF), production constraints, and limited resources typical of SMEs. The user must replace the variables in square brackets with their company's actual data.</p><p>For optimal results, prepare the following information in advance: industry sector, business hours, product types, target technical team, and tools used. The prompt generates realistic SLAs and an adapted escalation procedure.</p><p>Use this prompt in a conversational AI agent or text generator. The result can be exported to a document to train teams or integrated into a CRM. Test it with your SME's data and adjust if necessary.</p>
Use Cases
Expected Output
A structured process with 5 steps, SLA table, operator checklist, and escalation rules. The text uses industrial vocabulary and takes SME constraints into account.
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