CRM Development

CRM Reporting Dashboards That Answer Real Questions

Most CRM dashboards show what the CRM finds easy to count. The useful ones answer the questions your leadership asks in the meeting — which are usually about why a number moved, not what it is.

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Start from the question, not the chart

A dashboard full of deal counts and stage totals is easy to build and rarely changes a decision. The reports that get used answer a question someone was already asking and could not previously settle: why did conversion drop last month, which lead sources produce customers rather than enquiries, where in the pipeline are deals actually stalling, and which reps need help rather than pressure.

So we start by collecting the questions. Usually a dozen of them, from the people who ask them, in their own words. Several turn out to be unanswerable with the data you currently capture, which is itself the most valuable finding — it tells you what to start recording, and it is better to know that than to receive a chart built from a proxy.

The other thing we do deliberately is keep the dashboard short. A page with forty tiles gets scanned and forgotten. A page with the six numbers that drive decisions, each able to drill through to the records behind it, gets opened on Monday morning.

Reports we build most often

Pipeline movement, not pipeline snapshot

What entered, what advanced, what slipped and what was lost between two dates. A snapshot tells you the pipeline is the same size as last month; movement tells you it is composed of entirely different deals.

Stage conversion and time in stage

Where deals die and where they sit. Time in stage is usually the most actionable number in a sales operation and is almost never on the default dashboard.

Source attribution to revenue

Which channels produce customers, not leads. Requires source to be captured at creation and preserved through the lifecycle, which is often the first thing we have to fix.

Forecast with history

Weighted forecast alongside how accurate previous forecasts turned out to be. The second part is what makes the first one credible.

Activity against outcome

Not a leaderboard of calls made. The relationship between activity and closed business, which sometimes shows that the busiest rep is not the most effective.

Ageing and neglect

Deals with no activity for a defined period, and accounts nobody has contacted this quarter. Dull, and consistently the report that recovers the most revenue.

Filters, drill-through and export

The mechanics that decide whether a report is used twice.

  • Filters that persist — by period, owner, team, region, product, source — so nobody reapplies the same five filters every morning.
  • Comparison against the previous period and the same period last year, as a default rather than a separate report.
  • Drill-through from any number to the records behind it. A figure you cannot open is a figure nobody trusts.
  • Export to CSV or Sheets for the analysis that will inevitably happen in a spreadsheet anyway.
  • Scheduled delivery by email or Slack, because the people who most need the numbers are the least likely to open a dashboard.
  • Permissions matching the CRM's, so a team manager sees their team and not everyone's.

Common questions

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Describe the problem and we will come back with scope, timeline, and a rate. No obligation to proceed.

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