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Empowering Product Management with AI

Transforming Product Management with AI

Product Camp Conference - Austin #PCATX30

Amit Navare

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    • Passionate Product Leader/Manager
    • Developer turned Product
    • Life-long Learner
    • 2 time PCA Volunteer turned Speaker

Current: Fractional Product Manager Consultant, learning about AI and GenAI while deciding on next venture

Recently:

    • Product Lead, Kaiser Permanente
    • Product Manager at CVS, Staples...

About me...

#PCATX30

Amit Navare

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Build Products and improve internal processes

Toolbox

2 Ways to think

Build AI Powered Features into your Product

Capability

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Amit Navare

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AI in Building Products

Recognize Patterns and Trends

Data Analysis

Learn what’s working

& implement changes quickly

Experimentation

Automate creation of Product Documentation

Communication

Amit Navare

#PCATX30

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New approach to building products...

What needs to change?

Areas Product Changes

What will remain?

Areas Product Remains

What new additions are now possible?

New Additions

Amit Navare

#PCATX30

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Levels of AI

Amit Navare

#PCATX30

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What makes the Product Manager crucial for the success of AI features?

    • Moving from level two to level three is a product question, not a machine learning question.
    • Great AI does not necessarily equal a great product.
      • Be Transparent
      • Allow users to intervene
      • Leverage Feedback loops
    • In the end, the product manager controls the roadmap
      • Think about balanced Roadmaps
      • Ready to be surprised
      • Foster a culture of innovation (Working Groups)

Amit Navare

#PCATX30

Slido: 2845437

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What is Product-Led Organization and it’s characteristics?

    • A business that rallies entire company around the Product so each team can leverage it to achieve most important outcomes like growth and scale.

Product at Center

Data Driven Decisions

Product as Marketing Channel

Amazing Onboarding

User Self-Service

Collect and Use Feedback

Amit Navare

#PCATX30

Slido: 2845437

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Benefits of AI in Product Led Org..

Getting Smarter

Help Humans be more effective

Improved Product Delivery

Amit Navare

#PCATX30

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Examples of AI across product-led

#PCATX30

• AI and machine learning tools can better process and organize data, enabling teams to make more—and faster—data-driven decisions.

• AI can analyze user behavior in the product to identify engagement patterns and proactively suggest features or content to highlight during onboarding.

• In-product chatbots can interact with users to address pain points, offer recommendations to encourage ideal usage, and provide personalized support at scale.

Amit Navare

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Product-led growth characteristics

Free User Experiences

“Aha” moment

ASAP

Best-in Class Usability

A go-to-market business strategy that places a company’s software product at the center of the buying journey.

Customer Delight to encourage stickiness

Make Purchase natural next step

Virality at every turn

Amit Navare

#PCATX30

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    • Analyzing product usage and conversion data to identify aha moments

    • Creating hyper-personalized onboarding experiences and pricing strategies

    • Extracting themes from feedback to ensure you’re building sticky features

    • Generating in-app content to prompt users to share and collaborate

Examples of applying AI to six PLG principles

Amit Navare

#PCATX30

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Making Products smarter...

Product Management Life Cycle: A cyclical framework for how great products

are built and improved.

Amit Navare

#PCATX30

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AI in Business Outcome and Discover

SYNTHESIZE AND IDENTIFY PATTERNS

DISCOVER

Amit Navare

#PCATX30

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Quick Analysis of Data Points for Themes

Validate

AI in Validate and Build

Faster and Easier

Multiple Prototypes

Support for Product Documentation

Build

Amit Navare

#PCATX30

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Controlled Rollout based on usage and feedback

Launch- Smart Releases

AI in Launch, Evaluate and Iterate

Auto-determine what’s working and not, make recommendations

Evaluate

Did it met the Business Outcome?

Iterate

Amit Navare

#PCATX30

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    • By having well-connected data, Product Managers can be assessed for business outcomes over shipped features.
    • AI is not meant to replace Product Managers but to enhance their ability to analyze data, generate recommendations, and make decisions.
    • Product Managers would have more time to focus on creative tasks, enabling them to develop faster and better products, leading to a significant business impact.

Summary...

Amit Navare

#PCATX30

Think of AI as Partner

not as a Threat

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Questions?

Amit Navare

#PCATX30

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Grateful for attending

Empowering Product Management with AI

Amit Navare

#PCATX30

You can reach out to me on LinkedIn: (personalize invite saying PCA30 please!)

Amit Navare

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