--- title: "Product Analytics Dashboards for B2B SaaS Teams | Donux" description: "Product analytics dashboards for B2B SaaS: tracking plan, activation funnels, retention, feature adoption. Shipped in 2 to 4 weeks. Book a call." url: "https://donux.com/use-cases/product-analytics-dashboards" language: "en" --- # Product Analytics Dashboards for B2B SaaS See what's actually happening in your product A product analytics dashboard for your team. Activation, retention, feature adoption. The visibility you need to make better product decisions. [Build with us](https://donux.com/contact-us) [![4DEM engagement analytics interface](https://images.app.donux.com/unsafe/case-studies/4dem/results.png)](https://donux.com/case-studies/4dem) Selected product design work[4DEM](https://donux.com/case-studies/4dem) [**4.9/5** on Clutch 9 client reviews](https://clutch.co/profile/donux#reviews) Selected product design clients - 4DEM - Fluida - La Marzocco - Blue.ai ## Product teams are still flying blind ProblemImplication ### Events are tracked but nobody built dashboards on top of them. The data exists. The insight doesn't. ### Google Analytics tells you nothing about in-product behavior. You can't justify product investment with gut feelings. ### You launch features but can't measure their impact. You keep building the wrong things. ### Your dev team has no time to set up proper tracking. Every sprint is a guess. No clear hypothesis or success metric. ## What we build Product analytics views built around your product features. ### Activation funnels Where users drop off on the path to value. The dashboard that drives every onboarding review. ### Retention and cohorts Which cohorts stick, which churn, and when. Built on the metrics that matter for your growth model. ### Feature adoption Which features get used, by whom, and how often. The data your team needs to prioritize. ### Custom product views Engagement trends, DAU/WAU/MAU, revenue attribution. The views your team needs for planning and investor updates. > The team is made up of capable people, with experience in large scale-up SaaS companies. Building our design system early on with Donux helped us to design high-quality features faster. **Hernán Solima** Co-Founder & CPO @ Fluida [Our work with Fluida](https://donux.com/case-studies/fluida) ## How we build your product analytics dashboard in 4 steps 1. ### Map the decisions What decisions does your team need to make? We interview stakeholders and map the product questions your dashboard needs to answer. 2. ### Track the events If the events you need aren't tracked yet, we set up the tracking plan and implement it. 3. ### Build and configure We connect the right data sources and set up the dashboards in your analytics tool. 4. ### Handoff and training Documentation, a walkthrough with your team, and a working dashboard ready for your next product review. [Book a Discovery Call](https://donux.com/contact-us) ## What you get Dashboards designed around real product questions, shipped with performance built in. - Tracking plan and event setup. - Connection with all the data sources. - Configured dashboards in your analytics tool. - Documentation and team walkthrough. ## Before you start. ### Who is this for? Product teams, founders, and heads of product at B2B SaaS companies who need visibility into what's happening inside their product. Activation, retention, feature adoption: the metrics that drive product decisions. ### What analytics tools do you work with? We adapt to whatever you're using. PostHog, Mixpanel, Amplitude, Heap, or anything else. If you don't have a tool yet, we recommend PostHog. ### What if our events aren't tracked yet? We handle that too. Step two of our process is setting up the tracking plan and implementing the events you need. You don't need to have everything in place before we start. ### How do you decide what goes into the dashboard? We start with the decisions your team needs to make, then work backward to the metrics. The questions come first. The dashboard follows. ### How long does it take? A first conversation defines the relevant scope, dependencies and investment. For an existing product transformation, we confirm what fits the 90-day delivery window before kickoff. A focused supporting engagement is scoped separately. ### Can you work with our existing setup? Yes. If you already have an analytics tool and partial tracking, we build on top of what's there. No need to start from scratch. ### Can you help us act on the data and run experiments? Yes. Our [Product Analytics service](https://donux.com/services/product-analytics) covers the full picture: proper tool setup, tracking plan, dashboards, and ongoing Data Sprints where we analyze the data, design experiments, and help you grow. The dashboard is the starting point. ## See the work. Selected product design projects. Explore the challenge, the decisions and the results behind each one. [Fluida product preview](https://images.donux.com/website/videos/case-studies/05-fluida-product-fan.mp4) HR Tech ### How Fluida accelerated its acquisition through a scalable design system across four products [Explore the project](https://donux.com/case-studies/fluida) [4Dem product preview](https://images.donux.com/website/videos/case-studies/02-4dem-tablet-tilt.mp4) Marketing & Sales ### How 4Dem decreased development time by 50% through the Donux design system approach [Explore the project](https://donux.com/case-studies/4dem) [![How La Marzocco reduced support backlogs through redesigned communication and data systems](https://images.app.donux.com/unsafe/case-studies/la-marzocco/F7FfZwIPwVziFBhJDnEY8M5c4.png)](https://donux.com/case-studies/la-marzocco) Operations & Workflow ### How La Marzocco reduced support backlogs through redesigned communication and data systems [Explore the project](https://donux.com/case-studies/la-marzocco) ## See it in practice. [Our work](https://donux.com/case-studies) [Talk to Donux](https://donux.com/contact-us)