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For product managers aiming to lead teams or aspiring professionals curious about risk management and data strategy, this episode offers actionable advice and real-world stories to guide your career growth. Making Smart, Data-Driven Decisions Decision-making can make or break your product, especially when data is involved.
In this episode of Product Unplugged, host Mike Belsito sits down with Nimit Bhardwaj, a data product manager at Booking.com, to discuss how his product team faced a high-stakes data quality issue and walked us through the process they used to solve it.
When your company adopts multiple SaaS solutions to drive productivity, you unknowingly create a perfect storm for data fragmentation. Your customer information lives in Salesforce, while your support tickets are in Zendesk, your product usage data in Mixpanel, and your marketing campaigns in HubSpot. Sound familiar?
Without effective UX analytics that goes beyond collecting data, you’re losing valuable customers. Why UX analytics should go beyond quantitative data. Methods for collecting and analyzing UX data. UX analytics involves gathering, analyzing, and interpreting data about how users interact with your product or service.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
This week, we’re looking at new data rules, Threads, and more news from OpenAI. Your data may not be for sale as widely as it was before. The Consumer Read more » The post Your data may be discounted: This weeks product news appeared first on Mind the Product.
In this episode of the Product Experience Podcast, we speak with Kasia Chmielinski, co-founder of The Data Nutrition Project, who discusses their work on responsible AI, data quality, and the Data Nutrition Project.
Tips and Insights to Create Intuitive, User-Centered DataTables Data tables provide a structured way to organize and manage information, making it easier to analyze and visualize data effectively. However, creating effective data tables is not as simple as organizing rows and columns. Intuitive: Simplifying Data Interpretation.
How product managers can use AI to get more actionable insights from qualitative data Today we are talking about using qualitative data to drive our work in product and consequently improve sales. ” Then the product leader goes to some poor associate PdM and asks them to collate all of the data together.
As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0
Effectively leveraging diverse data types at each stage of the product lifecycle enhances stakeholder alignment and drives product success. Read more » The post Leveraging data across the product lifecycle appeared first on Mind the Product.
He was also the first head of growth at Atlassian, where he led product for Jira Agile and built the first-ever B2B growth team. The best product managers go out of their way to prove themselves wrong, because finding the flaws in your thinking will lead to better decisions.
Learn how to build impactful data products with a clear end-goal approach, ensuring robust engineering, collaboration, and a product-oriented mindset for solving business problems. Read more » The post Bridging the gap between data, product, and analytics appeared first on Mind the Product.
Case Study: Improving Data-Driven Decision Making for CSR Leadership Civian is a data-driven platform designed to help businesses measure, optimize, and showcase the social and economic impact of their investments in communities. Feature Engagement Users most frequently gravitated toward the map to explore and compare data.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API.
They hesitated to make drastic changes without solid data backing them up. But good data-driven decision-making isn’t highly uncommon. So here’s how Brikker would use the BADIR data analysis framework to overcome all the reasons startup pivots fail. They’ll use data to solve these issues without considering the big picture.
You can gather all the user feedback or behavioral data you want or even generate tons of Google Analytics reports. This causes siloed data and integration issues. However, this increases the likelihood of errors, leading to missing data and misinterpretations. Kevin has a few tips covering everything important.
This weeks Sunday Rewind is a 2018 post from Glenn Block and Timo Hilhorst on the differences and respective merits of quantitative and qualitative data and why its important for product managers to gather both types. Quantitative or hard data is information that can be measured and written down with numbers.
The Role of Intuition in Creativity and Innovation Leah and Phillip explain that they’re learning about to balance intuition with data-driven decision making. How do you currently balance intuitive decision-making with data-driven approaches? How might this affect your timelines and resource allocation?
For example, if your brand centers around being a data-driven decision-maker, ensure that your communications emphasize this. Share case studies, write posts that highlight your analytical approach, and offer insights backed by data. Engage Actively in the PM Community A personal brand isn’t built in isolation.
Learn how Read more » The post How to improve your relationship with data – Heather Williams (Director of Product, Elsevier) appeared first on Mind the Product. Recorded live at the Mind the Product Roadshow in Amsterdam, Heather unpacks the power of user research and interaction design in shaping innovative product strategies.
I’ve seen first-hand how tiny data-driven tweaks can lead to massive business results, and I’m going to share how to accomplish those with a little case study. So, we did what any good data scientist would do: we started running experiments. Yeah… these aren’t accidents. Make it clear, conversions appear Our first hypothesis?
This format efficiently gathers quantitative data and identifies common themes. For more survey question types see here: [link] Balancing qualitative and quantitative data: The role of customer insights Achieving a balance between qualitative and quantitative data is essential for a well-rounded understanding of customer experiences.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!
Some common AI failurestories: The Data Hoarders : Companies that think collecting more data will somehow lead to an AI breakthrough. Examples: Automating repetitive data entry tasks to free up humantime. Ready to see where data is headednext? Well, without structure and strategy, its just digital hoarding.
Mike explains that traditional market analysis might take weeks of research, but with AI assistance, teams can gather initial market insights, including total addressable market (TAM) and serviceable market data, in minutes rather than weeks. Bio Mike Hyzy is a senior principal consultant at Daugherty Business Solutions.
The Role of Intuition in Creativity and Innovation Leah and Phillip explain that they’re learning about to balance intuition with data-driven decision making. How do you currently balance intuitive decision-making with data-driven approaches? How might this affect your timelines and resource allocation?
Leverage Data: Use findings to guide decisions, reduce uncertainty, and inform future product iterations. Panelists discussed strategies to address this, such as: Demonstrating ROI: Present data that shows the value of experimentation in reducing risks and achieving outcomes.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. When developing a Gen AI application, one of the most significant challenges is improving accuracy. The number of use cases/corner cases that the system is expected to handle essentially explodes.
Roger recommended leveraging your boss: Bring your data and plan to your supervisor. Show them the data they lack. Or if your dev team never sees market data, start a quick monthly market update. You transition from edicts from above to a collaborative, data-driven approachone conversation at a time. Do I push back?
Their initial focus was on developing algorithms that could effectively analyze textual data and extract meaningful customer insights. This approach involved “teaching” large language models how to craft clear, actionable customer needs statements based on transcript data, social media comments, and other text sources.
Proactive Problem Solving Doug was motivated to write Proactive Problem Solving by two pieces of data showing the impact of reactive problem solving: The average manager wastes 3.5 Doug joined us in episode 518 and is back to share battle-tested strategies that will help you fix problems faster and smarter.
It assumes, though, that enough good-quality data is available to make reasonably reliable predictions. Customer Insights and Idea Generation AI tools can analyse market data, customer feedback, and emerging trends to suggest new products and features, assuming that enough relevant data is available.
An interactive guide filled with the tools to turn your data into a competitive advantage. They rely on data to power products, business insights, and marketing strategy. We’ve created this interactive playbook to help you use your data to provide actionable insights that will lead to better business decisions and customer outcomes.
Make switching easier Allow parallel use with existing tools and automate data migration from competitors. Q: How do I shift leaderships focus from data obsession to actual product development? Frame data as a supporting tool , not the sole decision-maker. Full breakdown in the Patreon recap!
Key topic #3 Thriving as a Product Leader Why adaptability, data fluency, and domain expertise are the future of product managementand how PMs can develop these critical skills. Why Listen to This Episode?
Learn strategies to embrace change, adopt data-driven decision-making, and focus on strategic objectives. Discover why emotional attachment to product features can limit innovation and jeopardise job security for product managers. Read more » The post Product and product managers separation anxiety appeared first on Mind the Product.
Ensure theres data backing it up. John Kresse, Senior Director of Product Management at SoulCycle and a former college basketball player at Emory shares a simple but powerful way to combat overconfidence and make better product decisions. 3 Key Questions to Challenge Assumptions & De-Risk Your Roadmap: 1.
Leading brands and local businesses alike are tapping into varied business and consumer data to power their products and meet consumers’ ever-evolving needs. But companies need to remember that a product can only be as good as the data that powers it. The criteria you should use to vet available data sources.
At the heart of all of my administrative troubles was the need to move data in between disparate systems and to make sure that all of these systems were in sync. Establishing a Single Source of Truth: Good Data Management One of the primary issues we ran into with my admin manually making these updates was mistakes were made.
Drew explains how product ops focuses on operationalizing product management processes and data to remove inefficiencies and improve collaboration across teams. The Role of Data in Product Ops: How shared data prevents silos and improves decision-making. What You’ll Learn: What Is Product Ops?
Kimberly previously served as LiveRamps Senior Vice President of Product, Vice President of Core Platform and Data Marketplace and Head of Product, Data Marketplace and Application Experience. Kimberly has also led sales, partner programs, managed services and customer success over the course of her career.
Key topic #2 The Role of AI in Personalized Pricing Learn how AI tools can help you optimize pricing strategies without massive data sets. Key Topics Discussed in This Episode Key topic #1 Why Pricing Needs a Seat at the Product Table Peter discusses how pricing decisions shape customer behavior and business outcomes. Start driving impact.
Speaker: Kate Owens and Megan Bubley, SpotHero, Diana Smith, Segment, and Erin Franz, Looker
As your sources of data increase, so do the complexities of unifying the data in a meaningful way. Join our webinar on October 17th with Segment and Looker to hear how they have solved these complex data issues. In this webinar, you'll learn: Why SpotHero decided to unify their data across departments.
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