Monday.com has become a go-to platform for product teams managing workflows, and it can serve double duty as a lightweight metrics tracking system. With customizable columns, automation rules, and dashboard capabilities, you can monitor key performance indicators without investing in expensive specialized analytics tools. This guide walks you through setting up a metrics tracking system that scales with your product team.
Why Monday.com
Monday.com works well for product metrics tracking because it combines visibility with accessibility. Unlike spreadsheets that require manual updates, Monday.com boards can connect to data sources, automate calculations, and display real-time dashboards that your entire team can reference. Product managers often need to share metrics with stakeholders, designers, and engineers, and Monday.com makes this collaboration smooth through shared views and permissions.
The platform's flexibility means you're not locked into predefined metric structures. You can create custom columns using formulas, link metrics to specific features or OKRs, and adjust your tracking system as your product strategy evolves. When compared to dedicated analytics platforms, Monday.com works best as a centralized hub where metrics feed into strategic conversations rather than as a replacement for detailed behavioral analytics tools.
Step-by-Step Guide
1. Create a Main Metrics Board
Start by building a dedicated board in Monday.com for your product metrics. Click the "+" icon in your workspace sidebar and select "Create Board." Name it something clear like "Product Metrics Q1 2024" or "Core KPI Dashboard." Choose the "Start from scratch" option to maintain full control over your column structure.
Once your board is created, add your first set of columns. You'll want: Status (dropdown), Metric Name (text), Target Value (number), Current Value (number), Owner (person), Last Updated (date), and Variance (formula). The Status column helps you identify which metrics are on track, at risk, or below target. This becomes your quick visual indicator at a glance.
2. Define Your Metrics Architecture
Before adding dozens of metrics, establish a clear structure. Most product teams track metrics across three categories: User Metrics (signups, DAU, retention), Feature Metrics (adoption rate, feature usage frequency), and Business Metrics (revenue, churn, LTV). Create a parent group for each category by clicking "Add Group" and naming it accordingly.
Within each group, add rows for individual metrics. For a User Metrics group, you might include rows for "Monthly Active Users," "Activation Rate," and "30-Day Retention." Having this structure prevents your board from becoming a disorganized list. You can collapse groups when reviewing specific categories and expand them when diving into details.
3. Build Connected Columns for Data Input
Set up columns that allow both manual entry and formula calculations. Create a "Data Source" dropdown column with values like "Mixpanel," "Segment," "Manual," or "Google Analytics" so you track where each metric originates. This matters because metrics from your analytics tool carry different weight than those entered manually.
Add a "Frequency" column as a dropdown with options: Daily, Weekly, Monthly, Quarterly. This reminds team members how often each metric should update. For metrics pulling from external sources, you'll eventually connect these columns using Monday.com's integration features or Zapier to automate updates rather than rely on manual entry.
4. Create Formula Columns for Automatic Calculations
Monday.com's formula column lets you calculate derived metrics automatically. For example, if you're tracking "Signups" and "Activated Users," create a formula column for "Activation Rate" that divides activated users by signups and multiplies by 100 for a percentage.
To add a formula column, click "Add Column," select "Formula," and enter your calculation. For activation rate, the formula would be: (Activated Users / Signups) * 100. You can reference other columns in your board by using the column name in brackets. Set number formatting to show one or two decimal places. This ensures your calculated metrics update automatically whenever the source numbers change, reducing manual work and errors.
5. Connect External Data Sources with Integrations
Rather than manually copying numbers from Mixpanel, Amplitude, or your analytics dashboard, use Monday.com integrations to pull data automatically. Navigate to your board's settings (click the three dots in the top right), select "Integrations," and browse available connectors. Monday.com natively supports integration with common tools through their API and marketplace.
If your analytics tool isn't directly supported, use Zapier as a bridge. Create a Zapier automation that triggers weekly, pulls your key metrics from your analytics platform, and updates the corresponding rows in your Monday.com board. Set this to run every Monday morning at 8 AM so metrics are fresh for your weekly review. This approach ensures your Product Metrics board stays current without requiring manual updates.
6. Build Views and Dashboards for Stakeholders
Create multiple views of the same board data so different audiences see relevant information. Click "Add View" next to your board name and select "Dashboard" to create a visual dashboard. Add dashboard elements like "Number" widgets showing your most important metrics, "Chart" widgets displaying trends, and "Table" widgets showing detailed breakdowns.
For your dashboard, add widgets showing current values of your top 5-7 metrics. Use "Chart" widgets to show trends over time, with your Last Updated column on the x-axis and Current Value on the y-axis. Create a second view called "Status View" using a table filtered to show only metrics with Status = "At Risk" or "Below Target." Share this view with your exec team for weekly reviews. Create another view for engineers filtered to show only "Feature Adoption" metrics so they can see which features need marketing push.
7. Set Up Automation Rules for Updates and Alerts
Use Monday.com's automation engine to keep your metrics current and alert owners when thresholds change. Click the three dots menu, select "Automations," and create a new automation. Set a trigger like "When a value changes in the Current Value column" and an action like "Send a notification to the metric owner." This ensures stakeholders know immediately when a metric shifts significantly.
Create additional automations for status management. For example, add an automation that triggers "When Current Value is less than Target Value minus 10%" and changes the Status to "At Risk." Another automation can trigger weekly: "Every Monday at 9 AM, send a reminder to [Owner] to update their metrics by end of day." These automations reduce manual status updates and ensure your board reflects current reality.
8. Establish Feedback Loops with Timeline Views
Create a "Timeline" view to map your metrics against product launches, marketing campaigns, and major events. Click "Add View," select "Timeline," and set your "Metric Name" column as the timeline item. Add a "Launch Date" date column to track when features launched, and use timeline view to visualize how metrics changed around those dates.
This view helps you understand cause and effect in your metrics movement. When you see a spike in "Feature Adoption" aligned with a launch date, you've documented a success. When a metric drops without corresponding product changes, it signals external factors or data quality issues worth investigating. Share this timeline view with product managers and designers so everyone sees the connection between actions and outcomes.
Pro Tips
- Color-code your metrics by health status: Use conditional formatting on your Status column so "On Track" metrics show green, "At Risk" metrics show yellow, and "Below Target" show red. This creates instant visual scanning capability when reviewing your dashboard. Navigate to the Status column settings, select "Format," and add conditional color rules.
- Create a trend comparison column: Add a "Last Month Value" column and a "Change %" formula column that shows month-over-month movement. This contextualizes whether metrics are improving, declining, or flat, which matters more than absolute values alone. A formula like
((Current Value - Last Month Value) / Last Month Value) * 100shows percentage change clearly.
- Link metrics to your product roadmap: Use Monday.com's link feature to connect metric rows to feature rows in your product board. When reviewing a feature, you immediately see which metrics it impacts. This connection helps your team understand why features matter beyond velocity and shipping speed.
- Schedule weekly metric review meetings: Use your dashboard view to run 30-minute metric review meetings every Monday morning. Assign one person to update all metrics by 8 AM, then review together. Discuss any At Risk metrics, celebrate wins, and adjust strategies based on data. Consistency matters more than sophistication.
- Export your dashboard quarterly for stakeholder reports: Most executives want metrics in a formal format for board presentations. Monday.com dashboards can be screenshot or exported as PDFs, but maintaining a separate Google Slides template that pulls key numbers from your board ensures your board serves both internal operations and external reporting.
When to Upgrade to a Dedicated Tool
Monday.com works well as a central metrics hub, but it has limits. If you need to track user-level metrics, cohort analysis, or funnel visualization, you should consider a dedicated product analytics tool like Amplitude or Mixpanel. These tools excel at answering "which users performed action X and how did their behavior differ from users who didn't," questions Monday.com can't answer.
Similarly, if you need real-time streaming data or must track metrics across hundreds of thousands of users, Monday.com's calculation and storage limits become problematic. For advanced statistical analysis, feature experimentation, or predictive metrics, dedicated tools offer capabilities Monday.com doesn't provide. Check our guide to SaaS metrics and PM tools directory to understand what specialized tools offer that Monday.com doesn't.
The sweet spot for Monday.com is as your "metrics command center" that displays high-level KPIs and connects them to your product strategy and roadmap, while feeding from specialized analytics tools. Think of it as the dashboard that synthesizes data from multiple sources rather than the source of truth for detailed behavioral analytics. For teams still early in product-market fit or with under 100K monthly active users, Monday.com may be sufficient as your primary metrics home.