This workflow is designed for customer success teams who need to prepare comprehensive quarterly business reviews (QBRs) for their customers. By automating the data gathering and report generation process, CSMs can focus more on strategic conversations and less on manual reporting tasks.
The workflow begins before scheduled QBR meetings by aggregating all relevant customer data from multiple sources. This includes product usage statistics, key performance indicators, support history, business outcomes, and benchmarks against similar customers. All this information is then fed into an AI that transforms raw data into an insightful narrative with clear trends, achievements, and areas for improvement.
With the narrative in place, the workflow automatically identifies growth opportunities and next steps, then compiles everything into a professionally designed report using pre-built templates. The draft report is sent to the Customer Success Manager for review, who can make any necessary adjustments before sharing it with the customer ahead of the QBR meeting. This automation saves significant preparation time while still delivering high-quality, data-driven QBR materials.
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Use this example as a starting point, not a fixed recipe.
Copy the flow above as a prompt, markdown, skill, or mermaid diagrom. Adjust the steps, tools, agent and human involvement to fit your real workflow. Then test where users actually get value or drop off.
Generate a comprehensive Quarterly Business Review (QBR) summary for {customerName} based on the following data:
Account Information:
- Customer: {customerName}
- Industry: {industry}
- Contract Value: {contractValue}
- Renewal Date: {renewalDate}
Usage Metrics:
- {usageMetrics}
Business Outcomes:
- {businessOutcomes}
Support History:
- {supportHistory}
Previous Goals:
- {previousGoals}
Benchmark Comparison:
- {benchmarkData}
Please structure the QBR summary with the following sections:
1. Executive Summary (2-3 paragraphs highlighting key wins and overall health)
2. Goals Recap (progress against previously set goals)
3. Usage Analysis (key patterns, adoption metrics, and trend analysis)
4. Business Impact (quantifiable outcomes and ROI where possible)
5. Support Summary (overview of issues and resolutions)
6. Benchmarking (how they compare to similar customers or industry standards)
The tone should be professional, data-driven, and focused on business value. Highlight both successes and areas for improvement with specific metrics where possible.