Fostering breakthrough AI innovation through customer-back engineering
📰 MIT Technology Review
Learn how customer-back engineering can drive breakthrough AI innovation by prioritizing customer needs over technological capabilities
Action Steps
- Identify customer pain points using feedback and surveys
- Work backward from customer needs to design AI solutions
- Prioritize customer-centricity over technological capabilities
- Develop fragmented solutions into integrated systems
- Apply customer-back engineering to existing digital investments
Who Needs to Know This
Product managers, engineers, and entrepreneurs can benefit from this approach to create more effective AI solutions that meet customer needs
Key Insight
💡 Customer-back engineering can help organizations capture more value from digital investments by focusing on customer needs
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💡 Prioritize customer needs over tech capabilities to drive AI innovation #AI #CustomerBackEngineering
Key Takeaways
Learn how customer-back engineering can drive breakthrough AI innovation by prioritizing customer needs over technological capabilities
Full Article
Despite years of digitization, organizations capture less than one-third of the value expected from digital investments, according to McKinsey research. That’s because most big companies begin with technological capabilities and bolt applications onto them, rather than starting with customer needs and working backward to technology solutions. Not prioritizing the customer can create fragmented solutions; disjointed…
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