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Dashboard That Works: A Step-by-Step Guide for Startups in 2025

UX Planet

Cascade: UI Elements in Light Mode Templates and AI tools can help in spots, but they don’t feel your context or see every nuance. In the wrong hands, they can turn a helpful tool into a harmful one. Admin analytical dashboard for the fitness app Step 1. A tool for everyone usually helps no one.

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How to Interpret Customer Data with Data Visualization Tools: Expert Insights for Product Teams

Userpilot

Data visualization tools help turn your messy spreadsheets into clear, interactive insights. Because product analytics should be easy and accessible for everyone, not just data experts. So where do you find the right tools? What are data visualization tools? How do data visualization tools help product teams?

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What’s in your stack: The state of tech tools in 2025

Lenny Rachitsky

Subscribe now For more: Lennybot | Podcast | Swag | Hire your next product leader | My favorite courses I’ve always been fascinated by what tools people choose to use in their work. ” we asked people what tools they most love, what tools frustrate them, and what they’d change if they could. 5% use Bolt.

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What is a Data Analyst? Role and Career Insights

PMLesson's Ace the PM Interview

✅ Verified : Celine Liu , Uber's former Global Analytics Lead, wrote this guide. Celine has conducted 100+ interviews across analytics, operations, and strategic roles. These roles are often variations of the same core responsibilities, with slight differences in tools, scope, or domain expertise.

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Products for Product People: Best Practices in Analytics

Speaker: Andrew Wynn, Senior Product Manager, Looker

As a product manager, you know how helpful custom tailored data solutions can be to doing your job well. But proper data analytics solutions take work to deliver - it's not as simple as just building a dashboard. Learn product analytics best practices from Andrew Wynn, Product Manager at Looker.

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Ace Your Data Engineering Interview (2025 Guide)

PMLesson's Ace the PM Interview

Software vs. Data Engineering Interviews At a high level, both software and data engineering interviews follow a familiar structure.   ℹ️ Some organizations, such as Meta , have separate data engineering and software engineering loops. You could go through both in the same year without interviewing conflicts.

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Top Data Analyst Interview Questions (2025 Guide)

PMLesson's Ace the PM Interview

✅ Verified : Celine Liu , Uber's former Global Analytics Lead, wrote this guide. Celine has conducted 100+ interviews across analytics, operations, and strategic roles. Business Case Round: Assesses your analytical thinking and business acumen with open-ended scenarios.

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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience.

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How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

Eric Feinstein, Professional Services Manager at Looker, has done workshops with product managers who are looking to add effective reporting. He will use the example of a product manager of a learning management software system and how she would go through the process of defining reporting for users of the product.

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How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

Sam and Jessica faced a problem that many product managers face: their customers wanted better analytics and reporting, but analytics wasn’t the core function of the SaaS product Sam and Jessica manage. Evaluated their options for building a solution themselves or buying something.

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The Practical Guide to Using a Semantic Layer for Data & Analytics

How to achieve speed of thought query performance and consistent KPIs across any BI/AI tool, such as Excel, Power BI, Tableau, Looker, DataRobot, Databricks and more. How to enable data teams to model and deliver a semantic layer on data in the cloud.