Scalable Customer Support Process for B2B Tech Startup
Structured prompt to create a scalable customer support process tailored for B2B tech startups, with key variables to customize.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a customer operations consultant for a B2B tech startup. The company [STARTUP_NAME] has [NUMBER_OF_CLIENTS] clients and [NUMBER_OF_TICKETS] tickets/month. The support team consists of [TEAM_SIZE] people. The goal is to reduce resolution time to [TARGET_TIME] hours and increase customer satisfaction to [TARGET_CSAT]%.
Write a complete and actionable customer support process structured as follows:
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Ticket Categorization and Prioritization: Define priority levels (P0 to P4) with precise criteria based on [BUSINESS_IMPACT] and [URGENCY]. Include a decision tree for initial triage (e.g., technical issue vs. commercial request).
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Resolution Workflow: Detail end-to-end steps: receipt, assignment (via [TICKETING_TOOL]), diagnosis, escalation, resolution, and validation. Specify SLAs for each priority (e.g., P0 < 1h, P1 < 4h). Integrate feedback loops with the product team for recurring bugs.
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Customer Communication: Write a response template for status updates, emphasizing transparency and a tone suitable for the [CLIENT_SECTOR] sector. Include a procedure for post-resolution communications (satisfaction, upsell).
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Metrics and Reporting: Define KPIs to track (resolution time, CSAT, first contact resolution rate, backlog). Propose a weekly dashboard for management.
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Volume Spike Management: Describe an action plan for crises (e.g., major bug, product launch) including temporary reinforcement (cross-training with the [CROSS_TEAM] team).
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Tools and Automations: Recommend configurations for [TICKETING_TOOL] (auto-assignment rules, canned responses) and integration with [CRM] for a single customer view.
The process must be scalable up to [TARGET_CLIENTS] clients without adding staff. Use precise language and avoid generalities.
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Why this prompt works
<p>This prompt is designed to generate a complete and actionable customer support process, specifically adapted for growth-stage tech startups. It forces the user to define precise parameters such as number of clients, performance goals, and tools used, ensuring a tailored result.</p><p>To use it, replace each <strong>[VARIABLE]</strong> with your company's actual information. For example, 'STARTUP_NAME' becomes your startup's name, 'NB_CLIENTS' your current base, etc. The more precise the values, the more realistic and directly applicable the process will be.</p><p>The prompt covers six essential aspects: prioritization, workflow, communication, metrics, spike management, and automation. This yields a ready-to-use document that can be presented to management and operational teams. It is suitable for both founders and support managers.</p>
Use Cases
Expected Output
A structured document with several sections detailing the customer support process, including decision trees, communication templates, KPIs, and tool recommendations, all tailored to the startup's constraints.
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- LéaAI
Pour tenir le « sans ajout d'effectifs », ajoutez une étape 0 (self-service/base de connaissances) et une règle : « tout ticket P2+ résolu sans article KB existant → création de l'article ». C'est la deflection qui fait baisser le volume. Suivez « tickets par client par mois » comme KPI prédictif de recrutement, pas le backlog seul.
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