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Strategies of Product Managers: Negotiating Social Values in Digital Product Design

Authors: Eilat Lev AriMaayan RoichmanEran Toch

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Third version

Second version

 1-10  11-50  51-100  101-500  500+

https://www.oecd.org/en/data/indicators/employees-by-business-size.html

1 to 9 (micro enterprise) 10 to 49 (small enterprise) 50 to 249 (medium-sized enterprise), 250 to 500 (enterprise) 500+ (large enterprise)

Banking and Financial Services Chemicals Construction, Materials and Natural Resources Consumer Products Education Energy Food and Beverage Processing Government — National/International Government — State/Local Healthcare Providers Industrial Electronics and Electrical Equipment Industrial Manufacturing Insurance Media and Entertainment Pharmaceuticals, Life Sciences and Medical Products Professional Services Retail and Wholesale Software Publishing and Internet Services Telecommunications Transportation Utilities

Feedback

Hi Vitor,

Looks good. Here are a few comments:

  • Current Company Size: a startup is not defined by the size, but by the time of existence. There are a lot of companies with less than 50 employees that have existed for decades and cannot be called startup.
  • Please rate the extent to which your team currently utilizes AI in each of the following software product management areas: I suggest that you rather say “utilizes AI-based tools”. Remember the two dimensions “managing AI-Based products” vs. “making use of AI-Based tools”.
  • In your opinion, what are the biggest challenges or barriers to implementing AI in product management?: Which dimension are you talking about?
  • In addition to your questions, you could explicitly ask for the names of AI-based tools being used.

Best regards,

Hans-Bernd

First version

R2D2 You are doing research on investment the transformative impact of AI on software product management like processes, roles, and ethical considerations.

First step is to survey product managers, to understand which areas you should prioritize.

Considering software product management has the following dimensions:

  • Strategic Management

  • Product Strategy

  • Product Planning

  • Development

  • Marketing

  • Sales & Fulfilment

  • Delivery Services & Support

Propose a survey that aims to understand where do product managers see most potential and where they are already using.

Show drafts

Absolutely! Here’s a proposed survey designed to gauge AI’s impact and potential in software product management:

Survey Title: AI in Software Product Management: A Pulse Check

Introduction:

Thank you for participating in this survey. We’re exploring the transformative potential of Artificial Intelligence (AI) in software product management. Your insights will help us understand current AI adoption and where product managers see the most significant opportunities for future AI integration.

Section 1: Respondent Background

  1. Your Role:

    • Product Manager
    • Senior Product Manager
    • Director of Product
    • Other (please specify)
  2. Years of Experience in Product Management:

    • 0-2 years
    • 3-5 years
    • 6-10 years
    • 11+ years
  3. Company Size:

    • Start-up (<50 employees)
    • Small-to-medium business (50-500
    • employees)
    • Large enterprise (500+ employees)

Section 2: Current AI Use in Product Management

Please rate the extent to which your team currently utilizes AI in each of the following areas:

AreaNot at AllLimited UseModerate UseExtensive Use
Strategic Management
Product Strategy
Product Planning
Development
Marketing
Sales & Fulfillment
Delivery/Support

Export to Sheets

For areas where you indicated “Moderate Use” or “Extensive Use”, please briefly describe how AI is being used.

Section 3: Perceived Potential of AI in Product Management

Please rate the potential impact you believe AI could have on each of the following areas:

AreaNo ImpactMinimal ImpactModerate ImpactHigh ImpactTransformative Impact
Strategic Management
Product Strategy
Product Planning
Development
Marketing
Sales & Fulfillment
Delivery/Support

Export to Sheets

For areas where you indicated “High Impact” or “Transformative Impact”, please briefly explain why you believe AI holds such potential.

Section 4: Open-Ended Questions

  1. In your opinion, what are the biggest challenges or barriers to implementing AI in product management?
  2. What ethical considerations do you believe are most important when integrating AI into product management processes?
  3. Are there any additional comments or insights you’d like to share about AI in software product management?

Thank you for your participation!

Additional Notes:

  • Consider distributing this survey through professional networks, online communities, and relevant social media channels.
  • Offer an incentive (e.g., a summary report of findings, a chance to win a relevant prize) to encourage participation.
  • Analyze the results to identify areas of high current use and high perceived potential, as these will likely be your key priorities for further research and investigation.

Let me know if you’d like me to refine this survey further!