This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
Product managers are now expected to be not only customer-obsessed but also data-fluent. In this episode, Jenna Gaudio shares essential insights on how modern PMs must evolve their skillsets to handle massive data flows, navigate regulations, and responsibly craft intelligent product experiences.
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.
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?
Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? Key Takeaways: Data Storytelling for Finance 📢 Transforming complex financial reports into clear, actionable insights. Compliance and Risk Considerations ✅ Navigating data-driven finance while staying audit-ready.
He looks at: customer acquisition cost, conversion Read more » The post Sunday Rewind: Essential KPIs for data-driven product managers appeared first on Mind the Product. John runs through a number of performance indicators, explaining how to choose the correct ones to make informed decisions and providing examples.
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.
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.
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?
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
Enhancing Data Input with Layered Drawer Navigation When I was working as a senior product designer on Grubtech , a kitchen and restaurant management platform, we faced a recurring UX challenge with long and complex forms across the back-office interface. I click something, a box opens… then another one… and I forget where I started.
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.
Chatbots (ChatGPT, Claude) Best for: Prototypes that are just one page and don’t have complex design requirements, like calculators, flip cards, or data visualizations Chatbots are capable of writing code in response to a question or prompt. file conversion, job applicant tracking) and data-driven applications (e.g.
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.
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0
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.
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.
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.
While “use data to drive decision-making” sounds obvious, there’s a HUGE gap between saying it and doing it well. Product analytics refers to the process of gathering and analyzing data on how users interact with a product. This process may reveal gaps such as: Insufficient raw data. What is product analytics?
Pro Tip: Pair your quick wins with data. Deliver Data-Driven Insights In a new role, data is your best tool for establishing credibility. Analyze Trends: Use historical data to inform recommendations and showcase strategic thinking. It shows youre thoughtful, analytical, and focused on results.
Often, these requests are made without supporting data or customer feedback, which can create tension between PMs and top-level executives. Use data to support your position and explain the trade-offs. Suggested Solution : The key is to respectfully push back when necessary.
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?
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.
Speaker: Dylan Secrest, Founder of Alamo Innovation and Construction Digital Transformation Consultant
Delays in approvals or misaligned data between budgets, lien waivers, and pay applications can grind progress to a halt. Construction payment workflows are notoriously complex when you consider juggling multiple stakeholders, compliance requirements, and evolving project scopes. The good news? It doesn't have to be this way!
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.
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.
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?
Organizational Differences Small Companies Business cases often handled by founders or CEO Limited PM involvement due to confidentiality Focus typically on single product financials Less formal financial analysis processes Large Companies Major responsibility for product managers Second only to cross-functional collaboration in complexity Requires (..)
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.
Here are key ways adaptability empowers product leaders : Informed Decision-Making with Limited Data – Product managers often need to make high-stakes decisions without all the information. Data Interpretation – Quick, accurate data analysis to support decision-making. I quickly interpret data to inform my decisions.
This approach involves: Testing with defined market segments (tranches) of 2 million users Learning from each group before expanding Making improvements based on real usage data Returning to early groups with refined offerings For smaller markets, James recommends adapting this approach by creating representative samples.
Well start with an overview and explore how AI can take on tasks such as analyzing user data and automated prototyping to help professionals connect with users on a humanlevel. These advancements are revolutionizing how designers approach their work, making UX more data-driven, efficient, and user-focused than everbefore.
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.
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.
Starting her career as a marketer and data scientist, Anya rapidly advanced to leadership roles, managing extensive teams across software and AI engineering, data science, product management, UX/UI design, and marketing for Fortune 500 companies over the past decade.
1 Userpilot for product teams to collect and act on NPS data Creating NPS surveys with Userpilot. Get real-time insights into your survey responses, with visual breakdowns of data, NPS score, and trends. 4 Qualtrics for collecting multichannel feedback and B2B market research data Qualtrics NPS surveys.
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.
Tools like Userpilot , for example, can help you automate data collection processes, welcome messages, account setup, in-app guidance, and more. ” This form of nurturing yields certain advantages: Consistent customer experience : Automation allows for tailored experiences based on individual customer data. The answer is a lot!
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.
As hiring managers, we also assess how well you work within constraints , making decisions with limited time and data — just like real-world product management. A simple solution with detailed reasoning and trade-offs is far more impressive than shiny features or ideas. Clear communication is crucial too.
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?
You know your product collects tons of data. Data visualization tools help turn your messy spreadsheets into clear, interactive insights. The best ones dont even need SQL or data science skills. Because product analytics should be easy and accessible for everyone, not just data experts. What are data visualization tools?
But how do you hone this crucial skill when faced with conflicting data, unsupportive leadership, or an over-reliance on gut feelings? Balancing intuition with data The eternal product management dilemma - intuition vs. data. Review the Data: Consider the data quality, scope, and possible gaps. What’s right?
We organize all of the trending information in your field so you don't have to. Join 96,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content