TL;DR / Key Highlights
The default approach in Smartsheet is to use reports for dashboards. While reports excel at dynamic aggregation: they cannot calculate trend data or complex KPIs. For scalable dashboards: you need a hybrid model: Reports for raw data and Metric Sheets for the calculation engine.
This is one of the most common architecture decisions in Smartsheet: should your dashboard pull data from reports or from a metric sheet? The answer isn’t one or the other. It depends on what your dashboard needs to do.
I’ve built dashboards for some of the largest Smartsheet implementations: and the decision always comes down to understanding what each approach is good at and where it falls short.
Why Reports Alone Stop Working at Scale
Most dashboards default to reports because that’s what Smartsheet makes easy out of the box. Reports pull data: widgets display it. But as the workspace grows: this approach creates two critical issues.
First: maintenance scales linearly. Every new metric means a new report with its own filters: its own configuration: its own potential breakpoint. A dashboard with 15 metrics depends on 15 separate reports: and any one of them can silently fail.
Second: reports can’t calculate. They filter and aggregate: but they can’t produce trend lines: cumulative totals: or year-over-year comparisons. If your dashboard needs computed metrics: reports alone can’t deliver them.
What Each Approach Does Well
Both reports and metric sheets have clear strengths. The key is knowing when each one is the right tool.
What Reports Do Well
Reports are Smartsheet’s built-in way to aggregate data across multiple sheets. If you have 30 project sheets and need to see all overdue tasks in one view: a report handles that cleanly. The data stays in the original sheets. The report just filters and displays it.
Reports excel at dynamic aggregation. When new sheets get added to your workspace (a new project: a new intake tracker: a new team) reports can automatically include them if they’re in the right folder or workspace. You don’t need to update anything. The report discovers new data sources on its own.
What Metric Sheets Do Well
A metric sheet is a dedicated Smartsheet that uses cross-sheet formulas to pull data from source sheets: calculate metrics: and organize them in a structured table. The dashboard then displays the metric sheet’s pre-computed values.
Metric sheets excel at calculated metrics. Monthly totals: cumulative sums: year-over-year comparisons: and averages. The formula does the work once: and the dashboard just displays the result.
Metric sheets also scale efficiently. Write a formula for one month: drag it across 60 months. Add a new KPI by adding a column. The structure is inherently replicable: which means growing your dashboard doesn’t proportionally increase your maintenance burden.
The Hybrid Approach That Scales
Most mature Smartsheet environments use both. Reports handle the dynamic data aggregation: pulling records from across the workspace. The metric sheet takes the output of that aggregation and computes the metrics that the dashboard displays.
The dashboard itself becomes a simple visualization layer. It’s not doing math. It’s not depending on fragile report-to-widget connections. It’s showing what the metric sheet already computed and letting users click through to reports for underlying detail.
When to Use Each
| Scenario | Best Approach |
|---|---|
| Aggregating data across many sheets that change regularly | Reports |
| Showing individual task or record-level detail | Reports |
| Displaying calculated KPIs (totals: averages: percentages) | Metric Sheet |
| Trend charts showing direction over time | Metric Sheet |
| Cumulative or running total visualizations | Metric Sheet |
| A PMO with new project sheets created frequently | Reports for aggregation: Metric Sheet for KPIs |
| Executive dashboard with high-level metrics and drill-downs | Metric Sheet for metrics: Reports for underlying detail |
Start With the Metrics That Break Most Often
If your current dashboard is entirely report-based and you’re experiencing blank widgets: slow maintenance: or limited visualizations: the metric sheet is the missing layer. You don’t need to remove your reports. You need to add the calculation engine between them and the dashboard.
Start with the metrics that break most often or the ones that leadership cares about most. Build those into a metric sheet. Point the corresponding dashboard widgets at the metric sheet instead of directly at reports. Compare the results.
Not sure which approach fits your Smartsheet environment? Every implementation is different. The right architecture depends on your data structure: your team’s needs: and how you plan to scale. Book a free strategy call to see how we can optimize your dashboard design.
Keep reading
Related Smartsheet strategy
Sources and further reading
- WOS Week 1 metric sheets production packageWizard of Sheets
Used as source material or platform reference for the article guidance.
Frequently asked questions
Can a metric sheet pull data from a report?
No: cross-sheet formulas only work with sheets. To bridge this gap: you should point your metric sheet formulas directly at the source sheets or use a helper sheet that mirrors the report's aggregation logic.
Which approach is faster to build?
Reports are faster for initial setup of raw data lists. Metric sheets require more upfront architectural design but pay back the investment instantly when you need to scale metrics across time or departments.
How do I know if my dashboard needs a metric sheet?
If your dashboard displays a calculated value (total: percentage: trend: or comparison): that math belongs in a metric sheet. If you only show filtered lists of records: reports may be sufficient. Most enterprise dashboards require both.