Big Data Staging Academy
Tagline: Turn raw data into reliable pipelines
Effective Date: [DATE]
To establish a structured and efficient customer service process for Big Data Staging Academy ([WEBSITE_URL]), ensuring timely and high-quality support for customers, minimizing downtime for learners, and maintaining a high level of customer satisfaction in the data staging education niche.
This SOP applies to all customer service operations, including support via email, phone, and chat, ticket classification, response time SLAs, escalation procedures, knowledge base management, customer satisfaction measurement, complaint resolution, and proactive outreach. It is designed to address the unique needs of customers in the data staging and pipeline development education sector.
| Priority Level | Description | Examples | Response SLA | Resolution SLA |
|---|---|---|---|---|
| Critical | Platform-wide outages or issues preventing all users from accessing courses. | "The course platform is down." | 15 minutes | 4 hours |
| High | Issues affecting a single user’s ability to access critical features. | "I can’t access my purchased course." | 1 hour | 8 hours |
| Medium | Non-urgent technical issues or general inquiries. | "How do I reset my password?" | 4 hours | 24 hours |
| Low | Feature requests, feedback, or minor issues with no immediate impact. | "Can you add a new course on Apache Kafka?" | 24 hours | 5 business days |
Tier 1: Customer Support Representatives (CSRs)
- Handle general inquiries, basic troubleshooting, and account-related issues.
- Escalate unresolved technical issues or policy exceptions to Tier 2.
Tier 2: Technical Support Specialist
- Address advanced technical issues related to course platforms, integrations, or data tools.
- Escalate unresolved platform-wide issues to Tier 3.
Tier 3: Customer Support Manager (CSM)
- Handle escalations requiring managerial intervention, including SLA breaches or customer dissatisfaction.
- Coordinate with the IT team for platform-wide issues.
Escalation Process:
- Document the issue in the ticketing system with detailed notes.
- Notify the next tier via [TOOL_NAME] (e.g., Slack, email).
- Monitor the ticket until resolution.
Content Creation:
- Develop articles for common issues, FAQs, and how-to guides.
- Use screenshots and step-by-step instructions tailored to data staging tools (e.g., Apache Airflow, Talend).
Content Review:
- Review and update articles quarterly or after major platform updates.
- Assign the Content Manager to oversee accuracy and relevance.
Customer Feedback Integration:
- Use customer feedback to identify gaps in the knowledge base.
- Add new articles based on recurring ticket themes.
CSAT Surveys:
- Send a survey after ticket resolution with a 1-5 rating scale.
- Goal: Maintain an average CSAT score of 4.5 or higher.
NPS Surveys:
- Send quarterly surveys asking, "How likely are you to recommend Big Data Staging Academy?"
- Goal: Maintain an NPS score of 70 or higher.
Reporting:
- Generate monthly reports on CSAT and NPS trends.
- Share insights with the leadership team to inform service improvements.
Acknowledge:
- Respond to the customer within the SLA timeframe.
- Apologize for the inconvenience and confirm receipt of the complaint.
Investigate:
- Gather all relevant details from the customer and internal systems.
- Assign the ticket to the appropriate team for resolution.
Resolve:
- Provide a clear and actionable resolution.
- Offer compensation (e.g., free course access) if applicable.
Follow-Up:
- Confirm resolution satisfaction with the customer.
- Document the resolution process for future reference.
Course Completion Milestones:
- Send congratulatory emails and suggest advanced courses.
Abandoned Cart Follow-Ups:
- Reach out to users who added courses to their cart but did not complete the purchase.
Inactive Users:
- Contact users who have not logged in for 30 days to re-engage them.
Recurring Issues:
- Notify affected users proactively if a known issue is being resolved.
Key Metrics:
- First Response Time (FRT): Goal of under 1 hour for all tickets.
- Ticket Resolution Time: Goal of meeting SLAs 95% of the time.
- CSAT Score: Goal of 4.5 or higher.
- NPS Score: Goal of 70 or higher.
Review Cadence:
- Weekly team meetings to review ticket trends and SLA adherence.
- Monthly reports on CSAT, NPS, and resolution times.
- Quarterly review of the knowledge base and proactive outreach effectiveness.
This SOP ensures that Big Data Staging Academy delivers consistent, high-quality customer service tailored to the needs of its learners and professionals in the data staging field.
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