Decision mapping
What decisions does each audience make weekly, monthly, quarterly? Numbers serve decisions.
KPI systems and dashboards leadership actually opens. Define the few numbers that matter, build the views, install the rhythm. Serving owners and leadership teams across Ohio.
Most Across Ohio dashboards die in week three because they show 40 charts and answer no questions. KPI systems work when they're built backward from decisions — what does leadership need to decide weekly, monthly, quarterly? — and not from "what data do we have?"
I build KPI systems with owner, leadership, and team views, each tuned to the decisions that audience actually makes. The few numbers (5–10, not 40) that move the business. Source-of-truth definitions reconciled across departments so the data stops being debated.
Build covers data sources, modeling, refresh cadence, BI tool or custom dashboard layer, threshold alerts, weekly summaries, and the operating rhythm that turns the data into decisions.
Operator background, not a deck-only consultant. Every credibility marker below is something I've actually built or run — not theory.
What decisions does each audience make weekly, monthly, quarterly? Numbers serve decisions.
5–10 numbers that actually move the business. Everything else is a chart, not a KPI.
Wire CRM, finance, ops, marketing into a clean layer. Resolve definition conflicts.
Owner, leadership, team. Each tuned to the audience and decisions.
Weekly scan, monthly review, quarterly recalibration.
Cut KPIs that aren't driving decisions. Add ones that are.
Anonymized examples of engagements that fit this scope. Names and identifying details withheld.
Three product lines, no daily owner view. Built a one-screen owner dashboard — revenue, margin, pipeline, cash, ops health by line. Owner now starts every day with a 10-minute scan.
Three systems, three different numbers. Reconciled definitions, built a single forecast and rep performance view, installed a weekly review. Forecast accuracy improved immediately.
Service business with no real ops metrics. Built capacity, utilization, on-time delivery, and quality dashboards. Ops leadership shifted from firefighting to managing.
Reporting layer and executive dashboards.
Clean CRM data underpins clean dashboards.
Sales KPIs and the operating rhythm to use them.
Ops KPIs and capacity reporting.
Operating leadership that runs the KPI rhythm.
AI-powered alerts and summaries on top of KPIs.
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