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96: Using Predictive Analytics in Product Prioritization Decisions
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Manage episode 375643065 series 2930898
Get involved with The Product Management Center. Learn more at https://ipma.info.foster.uw.edu/
In this episode of the How to Succeed in Product Management Podcast, marketing professor Jeff Shulman and The Product Management Center advisory board members Red Russak welcome Varun Kulkarni (CISCO) and Ash Naik (AAIS) as they discuss the use of predictive analytics in product prioritization decisions. Using predictive analytics in product prioritization decisions is beneficial for product managers because it enables data-driven decision-making. By analyzing historical data and patterns, predictive analytics can forecast the potential success and impact of different product features or enhancements. This empowers product managers to allocate resources effectively, focus on high-impact initiatives, and align their strategies with customer needs and market trends. Ultimately, this approach increases the likelihood of delivering products that resonate with customers, optimizing resource allocation, and driving overall business success.
Disclaimer: All opinions of the speakers are their own.
What to Listen For:
- 00:00 Intro
- 08:09 Right data collection and cluster analysis
- 10:29 Having a direct data or proxy
- 12:27 Setting up a validation process
- 13:55 Softwares for analyzing and visualizing data
- 18:44 Conjoint analysis and canal model
- 23:58 Data that goes into a cluster analysis
- 28:07 Avoid using vanity metrics
- 30:21 Using predictive analysis on personalized experience
- 34:38 Scenario modeling
- 39:34 Risk in utilizing predictive analysis
- 44:06 Advice for aspiring PMs
- 48:54 How often does the marketplace change?
- 51:39 Final Thoughts
131 episoder
96: Using Predictive Analytics in Product Prioritization Decisions
How To Succeed In Product Management | Jeffrey Shulman, Red Russak & Soumeya Benghanem
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on May 29, 2024 15:48 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 375643065 series 2930898
Get involved with The Product Management Center. Learn more at https://ipma.info.foster.uw.edu/
In this episode of the How to Succeed in Product Management Podcast, marketing professor Jeff Shulman and The Product Management Center advisory board members Red Russak welcome Varun Kulkarni (CISCO) and Ash Naik (AAIS) as they discuss the use of predictive analytics in product prioritization decisions. Using predictive analytics in product prioritization decisions is beneficial for product managers because it enables data-driven decision-making. By analyzing historical data and patterns, predictive analytics can forecast the potential success and impact of different product features or enhancements. This empowers product managers to allocate resources effectively, focus on high-impact initiatives, and align their strategies with customer needs and market trends. Ultimately, this approach increases the likelihood of delivering products that resonate with customers, optimizing resource allocation, and driving overall business success.
Disclaimer: All opinions of the speakers are their own.
What to Listen For:
- 00:00 Intro
- 08:09 Right data collection and cluster analysis
- 10:29 Having a direct data or proxy
- 12:27 Setting up a validation process
- 13:55 Softwares for analyzing and visualizing data
- 18:44 Conjoint analysis and canal model
- 23:58 Data that goes into a cluster analysis
- 28:07 Avoid using vanity metrics
- 30:21 Using predictive analysis on personalized experience
- 34:38 Scenario modeling
- 39:34 Risk in utilizing predictive analysis
- 44:06 Advice for aspiring PMs
- 48:54 How often does the marketplace change?
- 51:39 Final Thoughts
131 episoder
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