One pane of truth.
Custom operations dashboards that pull live KPIs from every tool you use — CRM, dispatch, ads, AI agents, accounting — into one leadership view your team trusts. Refreshed nightly, exported monthly, editable by your finance lead.
Pull, don't ask.
Spreadsheet KPIs go stale by Tuesday. A real ops dashboard pulls from the systems that hold the source data, recomputes nightly, and shows the delta since last week without anyone touching it. Most clients pair this with an Internal CRM — the CRM is the operational tool, the dashboard is the leadership lens on it.
Single source of truth
Every metric has one definition, one formula, one owner. Revenue isn't "what the CRM says" in one report and "what accounting says" in another — it's reconciled and reported once.
METRIC DICTIONARY · OWNERS · CHANGE HISTORY
Live deltas
Every KPI shows this period vs last period, with sparklines and the size of the change. Red / yellow / green thresholds configurable per metric.
PERIOD COMPARE · SPARKLINES · THRESHOLDS
Drill-down
Click a KPI to see the underlying records — the actual jobs, deals, calls. "Revenue dropped 12% this week because these 4 deals slipped" instead of a mystery.
RECORD-LEVEL DRILL · EXPORT · SHARE LINKS
Works well alongside Booking & Scheduling Systems (utilization and on-time data), AI Agents (resolution rates), and Paid Ads (blended CPA and ROAS).
From pulls to PDFs.
Data pipelines, nightly refresh, role-based access, scheduled exports, and an admin UI where your finance lead changes a KPI formula without a developer.
Connectors
Pre-built connectors for HubSpot, Salesforce, GHL, QuickBooks, Stripe, Google Ads, Meta Ads, Google Analytics 4, and 12+ more. Webhook escape hatch for everything else.
Pipeline
Nightly ETL into a warehouse (Postgres / BigQuery / Snowflake). Historical snapshots so last year's Q4 doesn't change when someone edits a deal.
Formulas admin
Your finance lead writes KPI formulas in a SQL-lite UI — "gross margin = revenue − COGS" — without filing a dev ticket. Version history with rollback.
Permissions
Role-based: execs see everything, managers see their teams, reps see their book. Field-level permissions for sensitive KPIs (commission, EBITDA).
Scheduled exports
Auto-generated PDF or slide-deck emailed to the board every Monday. CSV exports to the finance team. Slack digest to the leadership channel.
Alerts
Threshold alerts to Slack or email — "pipeline coverage dropped below 3x" — so issues surface before the Monday meeting.
Want dashboards + CRM + portals as one cohesive build? That's the full SAAS Builds cluster — or step back to The LeadFlow System.
Straight answers.
The six questions we hear on every dashboard scoping call. If it's not here, ask us.
Why not Looker, Tableau, or Metabase?
Those are great for analysts who know SQL. They fail for operators who want "revenue by service line this week vs last" without learning a tool. We build the dashboard as an app — specific views your team opens, specific KPIs that matter to your business, specific formulas you actually use. Power users can still hit the underlying warehouse with whatever BI tool they like.
Do I need a data warehouse?
We'll set one up as part of the build — Postgres for most clients, BigQuery or Snowflake for larger data. Hosted in your cloud account so you own it. Add $50–$200/mo to hosting for the warehouse on small-to-medium workloads.
How do I change a KPI after launch?
The formulas admin UI lets your finance lead edit KPI definitions directly. SQL-lite syntax, preview against historical data, version-controlled with rollback. New KPIs that need custom pipelines are a 1–3 day add-on.
How fresh is the data?
Standard pipeline runs nightly at 2am local. Critical KPIs can be upgraded to hourly or near-real-time (5–15 min lag) for an extra warehouse tier. For truly live numbers, we read directly from source systems on load — slower, but real-time.
What if my data is messy?
Most clients' data is messy. Part of discovery is data audit — duplicate records, inconsistent naming, fields that got repurposed mid-year. We clean what we can in the pipeline and flag the rest for your ops team to fix at the source.
How long to launch?
Three to five weeks. Week 1: KPI discovery and source mapping. Week 2–3: connector + pipeline build. Week 4: dashboard UI + permissions. Week 5: data audit, formula polish, rollout. Fixed-price after the 1-week discovery phase.
Kill the Monday-morning spreadsheet.
Bring the 5 KPIs leadership cares about and the tools they currently live in. We'll scope a dashboard that keeps them current without anyone's Tuesday-morning refresh.