Why Observability Platforms Companies Need This
For observability platforms products, a well-crafted case study is essential. Your target buyers—SRE/Platform Engineers, Backend Engineers, VP Engineering—are evaluating multiple solutions and need to quickly understand why your product is the right choice.
The unique challenges of marketing observability platforms mean your case study needs to:
Key Components
Every effective case study for observability platforms should include:
- 1 Customer overview
- 2 Challenge/problem faced
- 3 Solution and implementation
- 4 Results and metrics
- 5 Customer quote
- 6 Key takeaways
Step 1: The Brief
Before creating your case study, document answers to these questions specific to your observability platforms product:
Product Questions
- → What specific log aggregation capabilities does your product offer?
- → How does your product differ from Datadog?
- → What metrics can you share about performance or results?
Persona Questions
SRE/Platform Engineers:
- → How does your product address: Tool sprawl across observability pillars?
- → How does your product address: High cardinality data costs?
Backend Engineers:
- → How does your product address: Debugging distributed systems?
- → How does your product address: Understanding performance bottlenecks?
Use Case Questions
- → How does your product support incident response?
- → How does your product support performance optimization?
Step 2: The Draft
With your brief complete, create your case study following this structure:
Case Study Outline
- 1. Customer overview
- 2. Challenge/problem faced
- 3. Solution and implementation
- 4. Results and metrics
- 5. Customer quote
- 6. Key takeaways
Tips for Observability Platforms
Common Mistakes to Avoid
When creating a case study for observability platforms, watch out for these pitfalls:
Step 3: Production
With your draft complete, focus on these production steps:
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