Professional Statistical Consulting: Answers You Can Act On
Most organizations do not have a data problem; they have an interpretation problem. The spreadsheets exist, the survey has been fielded, the dashboard is live, but no one is certain what the numbers mean, whether a difference is real or how far a forecast can be trusted.
AskTheStatsProf brings professor-level statistical rigor to real business and research questions. You get analysis that is methodologically defensible, transparently documented and explained in plain language, so the people making decisions can trust it.
Who We Work With
- Businesses that need to understand customers, pricing, sales performance or operations
- Nonprofits and NGOs reporting outcomes to funders, boards and partners
- Monitoring & Evaluation (M&E) teams running baseline, midline and endline studies
- Market and UX researchers who need survey results analyzed correctly
- Academic researchers preparing journal manuscripts or responding to statistical reviewer comments
- Healthcare and public-sector analysts working with program and outcomes data
Core Consulting Services
Survey Research Design and Analysis
A survey is only as good as its design. I help you get both ends right:
- Questionnaire design, scale construction and pilot testing
- Sampling strategy and sample size calculation for the precision you need
- Weighting, cross-tabulation and significance testing across segments
- Reliability (Cronbach’s alpha, omega) and factor analysis to validate scales
- Driver analysis to identify what actually predicts satisfaction, loyalty or intent
- Clear reporting of margins of error and limitations
Business Forecasting
Plan with realistic expectations rather than single-point guesses:
- Sales, demand and revenue forecasting with exponential smoothing (ETS), ARIMA and regression-based models
- Seasonality and trend decomposition
- Forecast accuracy evaluation (MAPE, RMSE) on held-out data
- Scenario and sensitivity analysis with prediction intervals, not just point estimates
Data Analysis and Statistical Modeling
- Descriptive and exploratory analysis to establish a reliable baseline
- Regression analysis: linear, logistic, count and multilevel models
- A/B test and experiment analysis, including power and minimum detectable effect
- ANOVA and group comparisons across regions, products or cohorts
- Customer segmentation using cluster analysis
- Structural equation modeling for complex theoretical models
Monitoring & Evaluation (M&E)
- Indicator definition and results-framework alignment
- Baseline/endline comparisons and difference-in-differences designs
- Donor-ready tables, charts and narrative summaries
Research and Publication Support
- Statistical review of manuscripts before submission
- Re-analysis and responses to statistical reviewer comments
- Methods sections and results tables that meet journal reporting standards
Our Process
- Discovery call (free, 15 minutes): We clarify the business or research question, your data and the decision the analysis must support.
- Scope and quote: You receive a written scope with deliverables, timeline and fixed fee. No surprises.
- Data review and cleaning: I audit data quality and flag issues before any modeling begins.
- Analysis: Appropriate methods, checked assumptions and documented code.
- Reporting: An executive summary for decision-makers plus a technical appendix for analysts.
- Walk-through: A live session to discuss findings, answer questions and plan next steps.
Why Organizations Choose AskTheStatsProf
- Professor-level rigor applied to practical questions
- Plain-language reporting that non-statisticians can act on
- Reproducible work: you receive the code or syntax, not a black box
- Tool-agnostic: R, Python, Stata, SPSS or Excel, matched to your team’s stack
- Confidentiality: NDAs available on request; data is stored securely and deleted on request after the project
- Honest scoping: if your data cannot answer the question, you will hear that before you pay for analysis
Let’s Talk About Your Data
Whether it is a one-off survey analysis or an ongoing analytics partnership, the first step is a free 15-minute discovery call. Share a short description of your question, your data (type, size, format) and your deadline, and you will receive a scoped proposal and fixed quote, usually within 24 hours.
Request a Free Project Quote →
Prefer email or chat? Write to [email protected] or message me on WhatsApp at +1 (425) 999-3993.