We built a survey to find where AI helps devs and where it's just hype

• Adoption & Barriers

  What you'll learn from this section:

  • How often does your team actually use AI in their daily work?

  • Whether AI makes their work more or less enjoyable

  • The factors limiting adoption

  Example questions:

  • I use AI in my regular work - (Never / Weekly / Daily)

  • My AI usage is limited by (Skills / Trust / Policies)

• SDLC - Ideation & Validation

  What you'll learn from this section:

  • Where and how your team already uses AI to explore ideas, prototypes, or features

  • How teams rate the impact of AI in this phase

  Example question:

  • In this context, AI helps me to - (Generate ideas / Validate features / Create prototypes)

• SDLC - Requirement Preparation & Planning

  What you'll learn from this section:

  • Where and how your team already uses AI to turn ideas into clear requirements and tasks

  • How teams rate the impact of AI in this phase

  Example question:

  • In this context, AI helps me to - (Check requirement quality / Create PRDs / Estimate story complexity)

• SDLC - Code & Test Loop

  What you'll learn from this section:

  • If and how your team already uses AI coding and testing workflows

  • How teams rate the impact of AI in this phase

  Example question:

  • In this context, AI helps me to - (Generate code / Explain errors / Suggest algorithms)

• SDLC - Architect & Review

  What you'll learn from this section:

  • If and how your team already uses AI to support architecture, design, and quality assurance

  • How teams rate the impact of AI in this phase

  Example question:

  • In this context, AI helps me to - (Enforce standards / Suggest architecture patterns / Run security checks)

• SDLC - Deploy & Operate

  What you'll learn from this section:

  • If and how your team already uses AI to automate deployments and monitor systems

  • How teams rate the impact of AI in this phase

  Example question:

  • In this context, AI helps me to - (Plan deployments / Detect anomalies / Triage incidents)

• SDLC - Document & Communicate Changes

  What you'll learn from this section:

  • If and how your team already uses AI to summarize, document, and share their work

  • How teams rate the impact of AI in this phase

  Example question:

  • In this context, AI helps me to - (Summarize work / Create documentation / Generate updates)

• Learn & Improve

  What you'll learn from this section:

  • If and how your team already uses AI to reflect, learn, and continuously improve their work

  • How teams rate the impact of AI in this phase

  Example question:

  • In this context, AI helps me to - (Analyze retrospectives / Suggest improvements / Measure impact)

• Team & Process Changes

  What you'll learn from this section:

  • How AI has changed the way your team works day-to-day

  • How roles and responsibilities are evolving with AI

  Example question:

  • My team’s way of working has changed due to AI – (Select applicable changes)

• Impact on Developer Experience

  What you'll learn from this section:

  • How AI influences focus, confidence, and stress levels

  • If AI improves creativity, flow, and satisfaction in daily work

  • How attitudes toward AI shape the overall team experience

  Example question:

  • Since using AI, my cognitive load is lower – (Strongly disagree → Strongly agree)

2 week survey run-time starts when you hit send.

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