Lenny Rachitsky

JUNE 14, 2025

👋 Hello and welcome to this week’s edition of ✨ Community Wisdom ✨ a subscriber-only email, delivered every Saturday, highlighting the most helpful conversations in our members-only Slack community. Read more

Finance 52

Finance Dashboard Management Management 52

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Join Miles Robinson, Agile and Management Consultant, as he covers five key considerations for you to keep in mind when you’re updating your software or app to offer the latest in embedded dashboards. You’ll leave with a better understanding of where to begin on creating actionable, insightful dashboards.

Data Visualization

Speaker: Laura Klein, Principal at Users Know and Author of UX for Lean Startups

That's why Laura Klein, product manager and UX designer, has a set of tips to help application teams improve their embedded dashboards and reports. No one makes poorly designed products on purpose. And yet we have so many of them in our lives.

Data Visualization

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Dashboards and analytics can really set your application apart, but that doesn't mean you can implement them and forget about them. Join Miles Robinson, former UX and Design Manager, as he explains the different ways to refresh your dashboards - and how to determine what's the best path to product dashboard success.

Data Visualization

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.

Data Visualization

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Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations.

Enterprise