Develop a structured list of targeted questions for recorded interviews with key project stakeholders—including engagement managers, consultants, and engineers—who directly contributed to delivering AWS-based solutions. The goal is to extract precise, actionable insights to facilitate the automated generation of compelling customer case studies.
A review of AWS and Stelligent case studies reveals distinct archetypes, structural formats, and storytelling approaches. Understanding these patterns will ensure that the questions elicit the right level of detail and depth for compelling narratives.
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Transformation Stories – Focus on major shifts in efficiency, scalability, or innovation.
- Example: 3M Health Information Systems automated pipeline provisioning using AWS Service Catalog, reducing setup time from days to minutes.
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Technical Deep Dives – Provide in-depth technical insights into implementation and architecture.
- Example: Stelligent enabled self-service AWS deployments for Advent engineers using AWS CloudFormation and Amazon EC2.
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Business Impact Narratives – Highlight measurable business benefits, such as cost savings or compliance improvements.
- Example: Verizon’s Development-Security-Operations Pipeline (DSOP) enhanced security validation, preventing insecure deployments.
Each case study typically includes:
- Introduction – Overview of the company and industry.
- Challenge – Clearly defined problem or opportunity.
- Solution – Detailed explanation, including AWS services and methodologies.
- Results – Measurable business and technical outcomes.
- Customer Quotes – Authentic testimonials reinforcing impact.
- Architecture Diagrams – Visual representation of the solution.
- AWS Case Studies – High-level, business outcome-focused, concise, with customer quotes.
- Stelligent Case Studies – In-depth, technical, detailed architectures, and AWS service breakdowns.
Develop a structured set of interview questions designed to extract key insights aligned with the above archetypes and structures. The questions should:
- Elicit detailed problem statements that resonate with the target audience.
- Capture granular technical details of AWS services and methodologies used.
- Surface measurable results (e.g., time savings, cost reduction, security improvements).
- Encourage storytelling with real-world examples and stakeholder testimonials.
- Support automation by structuring responses in a way that enables AI-driven case study generation.