"Factor Generative AI into Tech Product Strategy: Leveraging Customer Insights and Shifting Preferences"

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Glasp

Jul 16, 20233 min read

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"Factor Generative AI into Tech Product Strategy: Leveraging Customer Insights and Shifting Preferences"

In today's rapidly evolving technological landscape, it is crucial for businesses to stay ahead of the curve and incorporate cutting-edge advancements into their product strategies. Generative AI, with its ability to create new and innovative solutions, has the potential to revolutionize various industries. However, to effectively harness the power of generative AI, businesses must consider two key factors: understanding their customers' needs and anticipating how customer preferences will shift.

First and foremost, it is essential to deeply understand your customers' Jobs to be Done. By focusing on the activities that mobile electronics excel at and identifying the various customer types and use cases, businesses can gain critical insights that will shape how generative AI can have the most impact on fulfilling those Jobs. Taking an open-ended yet rigorous approach to inquiry, utilizing Jobs to be Done methodology, can unveil revolutionary possibilities. For example, instead of solely focusing on how AI can assist media planners in allocating ad budgets, businesses can explore how generative AI can suggest the most effective ad creatives for different platforms, set appropriate budgets, and model the ROI of ad campaigns. This approach can lead to the creation of highly tailored and distinctive digital ad content.

Secondly, it is vital to understand how customer preferences will inevitably shift as generative AI becomes more prevalent. While the solution set may change, the underlying Jobs to be Done are likely to remain relatively constant. Businesses can leverage their Jobs to be Done analysis to anticipate these shifts and adapt their strategies accordingly. For instance, businesses can explore how generative AI can suggest new actions that users may not have considered and provide a preview of the potential outcomes of those actions. On the flip side, organizations should also consider how their existing systems can enhance the capabilities of generative AI. By obtaining and creating proprietary data, businesses can personalize experiences and optimize problem-solving with more precise information about the value of outcomes. The true potential of generative AI lies in transforming customer interactions with software, and by aligning with the insights gained from Jobs to be Done, detailed design criteria for impactful solutions can be determined.

To effectively incorporate generative AI into tech product strategy, here are three actionable pieces of advice:

  • 1. Conduct thorough Jobs to be Done analysis: Dive deep into understanding your customers' needs and the specific activities where generative AI can make the most impact. Stay open-minded and rigorous in your inquiries to uncover revolutionary possibilities.
  • 2. Anticipate shifting customer preferences: Consider how generative AI will alter expectations and interactions between humans and machines. Leverage your Jobs to be Done analysis to anticipate these shifts and adapt your strategies accordingly.
  • 3. Enhance generative AI with existing systems: Explore how your organization's existing systems can provide an unfair advantage by obtaining and creating proprietary data. Utilize this data to personalize experiences and optimize problem-solving with more precise information about outcomes.

In conclusion, integrating generative AI into tech product strategy requires a deep understanding of customer needs, anticipation of shifting preferences, and leveraging existing systems for enhanced capabilities. By following these principles, businesses can harness the transformative power of generative AI to create innovative solutions and stay ahead in the ever-evolving technological landscape.

Resource:

  1. "5 Ways To Factor Generative AI Into Tech Product Strategy", https://www.forbes.com/sites/stephenwunker/2023/03/06/five-ways-to-factor-generative-ai-into-tech-product-strategy/?sh=3587e57f5500 (Glasp)
  2. "スケールする問題を定義せよ。スマートニュースに学ぶ、プロダクトマネージャーの責任 | SELECK [セレック]", https://seleck.cc/1213 (Glasp)

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