A focused review of your existing data, reports, and metrics to understand what they’re actually saying—and where they may be misleading.

Includes:
• Review of current data sources and reports
• Identification of gaps, contradictions, or incentive-driven distortion
• Plain-language summary of findings
• Clear recommendations for next steps

Best for:
Teams who feel unsure whether their data supports the decisions they’re being asked to make.

Recommended next step:
Request a Diagnostic

Deeper analysis of a specific question, dataset, or problem—such as customer behavior, churn risk, operational metrics, or support data.

Includes:
• Data cleaning and preparation
• Exploratory and/or predictive analysis
• Visual summaries and written interpretation
• Decision-focused recommendations

Best for:
Teams who know what they want to understand, but need help getting reliable answers.

Recommended next step:
Discuss an Analysis

Lightweight, ongoing support for teams who want regular clarity without hiring a full-time analyst.

Includes:
• Periodic review of key metrics
• Identification of emerging patterns or risks
• Written action notes and priorities

Best for:
Small teams without in-house analytics support.

Recommended next step:
Ask About Ongoing Support

• I don’t sell software or dashboards
• I don’t hide behind jargon or models
• I don’t promise certainty where it doesn’t exist

Two minutes of context is enough to start.

Send a short message describing:

• The decision you’re trying to make
• The data you currently have
• Any tools you’re using (spreadsheets, dashboards, exports)

I’ll tell you what’s possible and what I’d recommend as a first step.