AI Architect Program - Survey Insights

Sessions 1 & 2 (January 23 & 30, 2026) | Never Search Alone Community

20
Total Responses
95%
Satisfaction Rate
13
"Very Helpful" Ratings
65%
Response Rate

Rating Distribution

Session Comparison

Key Insights & Themes

What's Working Well

  • Real-world examples: Participants highly value seeing practical demonstrations and workflows in action, including when things fail
  • Interactive learning: Ability to ask questions in real-time and learn from practitioners is a major strength
  • Approachable explanations: Analogies and anthropomorphization help make complex AI concepts accessible
  • Step-by-step processes: Watching builds from start to finish (e.g., Lovable demo) is particularly effective
  • Diverse perspectives: Hearing both technical and non-technical viewpoints enriches the learning experience

Opportunities for Improvement

  • Technical accessibility: Some participants find content too jargon-heavy, particularly those from non-technical backgrounds
  • Pacing concerns: Notable learning curve jump between sessions; some feel they need to catch up
  • Slide complexity: Feedback suggests reducing words per slide and spending less time on dense content
  • Interaction clarity: Participants uncertain about when to use chat vs. raising hand for questions

⚠️ Critical Feedback (1 Response)

Actionable recommendations: (1) Have non-technical reviewers preview materials, (2) Reduce jargon and provide definitions, (3) Simplify flowcharts, (4) Less text-heavy slides

Recommendations for Final Session (Feb 13)

  • 1. Maintain the showcase format – Real examples and demonstrations are consistently rated as most valuable
  • 2. Balance technical depth – Consider parallel tracks or "101 vs. 201" framing for mixed audiences
  • 3. Clarify participation norms – Set clear expectations at the start for Q&A format
  • 4. Encourage peer learning – Create space for participants to share their own builds and insights
  • 5. Celebrate progress – Acknowledge the learning journey and varying entry points of participants