Article

AI for Product Strategies: From Insight to Execution

August 07, 2025

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Emily May

In product management, business as usual means falling behind. Lagging indicators and static planning won’t keep up in today’s rapidly changing markets. Your team needs to respond to shifts in customer needs, trends, and competitors faster than ever. 

Artificial intelligence has become an invaluable resource in product teams. AI tools complement human creativity and judgment, enabling you to make high-stakes product decisions that are effective and timely. 

In this article, we’ll explore four ways you can use AI to inform your product strategies–from gathering insights to maintaining team alignment toward product goals.

What Is a Product Strategy?

A product strategy is a plan that guides a product’s development, delivery, and growth. These strategies help align organizations with the product vision. Additionally, they build clarity around how the product team will deliver value to their customers.

Historically, developing and maintaining a product strategy required a significant time investment. Product leaders would manually analyze historical data to identify trends. 

However, since AI has hit the scene, the pace of building and updating product strategies has increased. Artificial intelligence tools can quickly analyze big data sets, identify new customer preferences, and even simulate outcomes of potential initiatives. 

The Benefits of AI for Product Strategies

AI can support human decision-making by surfacing insights faster and on a larger scale. We aren’t recommending that AI replace human intelligence in product strategy, but complement it.  For product leaders, this means:

  • Adaptability: Real-time analysis of customer feedback, market changes, and competitor decisions, so that your team can build a responsive strategy and adapt.
  • Data processing: AI can process large volumes of input at lightning speed, such as user data, support tickets, or competitor news.
  • Pattern identification: Data processing pulls out key insights, patterns, and trends that product teams can use to make informed decisions.
  • Predictive modeling: Product leaders can forecast how markets may shift or how customers might respond to different strategic moves.

As an active member of your product team, AI can expedite insights and decisions for a thoughtfully designed product strategy.

4 Ways AI Can Inform Your Product Strategy

Illustration of a person reviewing data on a screen to inform product strategy with AI-powered insights and trends.

AI can’t build and adapt your product strategy for you, but it can assist the process in countless ways. In this section, we’ll be focusing on how to use AI for gathering insights, identifying opportunities, planning initiatives, and maintaining team alignment toward product goals. 

1. Gather Insights

Competitive product strategies rely on large volumes of data to inform decision-making. Collecting insights from this data reveals patterns in customer behavior, changes in the market, and how your product stacks up against competitors. 

How can AI help your team gather insights?

  • Customer sentiment: Natural language processing tools can analyze customer feedback from surveys, reviews, user data, support tickets, and more. By identifying trends and recurring positive or negative sentiments, product teams can ensure their product meets user needs.
  • Market activity: AI can analyze competitor and consumer activities to ensure product direction meets external shifts.

Example: Product leaders are analyzing competitor data for their product strategy. To ensure their learning platform meets the target market’s needs, they utilize AI to analyze student reviews from competitors. 

At a glance, the data reveals growing frustration with platform performance, particularly with video buffering. These insights paint a clear picture of growing customer expectations for performance, prompting a decision to analyze more performance-related data.

2. Identify Opportunities

A person sits in front of a brainstorming board with sticky notes, symbolizing how AI helps identify and organize product opportunities.

You’ve gathered the insights, but how do you connect the dots? AI helps product teams turn raw data into concrete possibilities. As opportunities begin to surface, human decision-making plays a key role in what to do next.

How can AI help your team identify opportunities?

  • Clustering feedback: AI can segment customer feedback based on categories of your choosing. For example, you could decide to segment feedback based on target audience or based on problem areas that your product can address. 
  • Conducting a SWOT analysis: AI can assist in identifying product strengths, weaknesses, opportunities, and risks based on data inputs. Teams can then use this information to refine and prioritize ideas.

Example: Product leaders use AI to group customer feedback about their competitors. The insights reveal a rise in negative complaints around a lack of available integrations across competing products. 

This information prompts the product team to consider including integration opportunities in their product strategy to attract new users and enhance customer satisfaction.

3. Plan Initiatives

With exciting product opportunities in front of you, it’s time to design a plan that will deliver maximum value to your customers. Instead of relying on guesswork, AI can simulate the potential outcomes of initiatives. Now you can use your knowledge to narrow down and prioritize initiatives with the best probable outcomes for stakeholders.

How can AI help your team plan initiatives?

  • Simulate impact: AI models can be used to predict the outcome of different initiatives to highlight potential risks or return on investment. While simulations won’t have 100% accuracy, it does improve prioritization. 
  • Generative brainstorming: AI tools like ChatGPT can generate innovative ideas or build on existing ideas to accelerate ideation and prioritization.

Example: A product team is considering an initiative to build a new analytics dashboard for their health app. An AI simulation suggests that the initiative will boost engagement by 20% for regular app users. 

After comparing with other ideas on the table, the team decides to move forward with a new dashboard, fitting into their product strategy of consistently improving engagement.

4. Team Alignment

A team gathers around a large screen celebrating a product launch, showing how AI tools can support strategy and alignment across product teams.

You could have a winning product strategy, but if the product team isn’t on the same page, executing on the vision will fall short. AI can support internal communication to ensure all team members remain aligned with the vision.

How can AI help your team stay aligned?

  • Share strategy summaries: Generate short summaries or visualizations to help teams understand where they fit into product plans and why. Sharing these key takeaways can also help improve buy-in across the organization.
  • Identify KPIs: Leverage AI tools to connect initiatives to strategic goals and metrics, so that your team can see how their work connects to the bigger picture.

Example: After finalizing their new product strategy, a product manager uses AI to summarize the plan and how it fits in with changing customer needs and company goals. 

The summary helps others across the organization, like marketing and support teams, prepare for launch with campaigns and scripts.  

Continued Reading

Conclusion

Artificial intelligence has made developing and adapting product strategies faster and more effective. From pattern recognition to sharing high-level strategy summaries, AI has claimed a permanent spot on product teams. 

But at the heart of every great product strategy is human ability. Asking the right questions, weighing risks, and making decisions rooted in values, ethics, and empathy can never be replaced. When used appropriately, AI won’t lead your product strategy, but it will lend a helping hand.

Need an AI product strategy framework? In four hours or less, ICAgile’s AI for Product Strategy course will teach you how to:

  • Collect insight to spot trends and opportunities
  • Identify risks
  • Shape product strategy
  • Prioritize initiatives with confidence

Find a class to get started!

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TAGGED AS:
Value Delivery, Foundations of AI, Delivery Management, Agile Project and Delivery Management, Delivery at Scale, Product Ownership, Agile Product Ownership, Enterprise Product Ownership, Expert in Product Ownership, Agile Testing, Agile Testing, Agile Test Automation, Expert in Agile Testing, DevOps, Foundations of DevOps, Implementing DevOps, Expert in DevOps, Agile Engineering, Agile Programming, Agile Software Design, Expert in Agile Engineering, Product Strategy, Product Management

About the author

Emily May | ICAgile, Marketing Specialist
Emily May is a Marketing Specialist at ICAgile, where she helps educate learners on their agile journey through content. With an eclectic background in communications supporting small business marketing efforts, she hopes to inspire readers to initiate more empathy, productivity, and creativity in the workplace for improved internal and external outcomes.

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