Consulting Services

You have data. Let’s find answers to drive outcomes.

And if you don’t have the data yet, I’ll help you gather it. Whether you’re navigating uncertainty, testing a new direction, or refining what already works, I help turn raw data into strategic advantage. My work establishes insights that enables progress you can measure.

Strategic Research, Scalable Data Science, Trustworthy Results

I partner with teams to design and execute rigorous, reproducible research—combining advanced statistical methods, applied data science, and robust study design to inform decision-making.

Request a chat

Or email me directly at consulting@johnflournoy.science

Not sure where to start? Figuring that out is part of what I do.

Can you help us decide what questions are worth answering?

Yes. I’ll work with you to clarify your goals and refine your questions—so we focus on what matters and design the right strategy to answer it.

We don’t have clean data—can you still help us?

Absolutely. Data cleaning is half the work, and I consider it a core competency. I can work with messy, incomplete, or scattered data and help you turn it into something useful.

Will this work lead to tangible improvements we can present to leadership?

That’s the goal. From the start, we’ll align on questions that map directly to decisions, priorities, and key indicators. What goes into the slide deck will also move things forward.

Just need a plan or a second set of eyes?

Packages start at $500 for things like analysis or research design review, or broad research planning advice. If you need something more involved, we can scope that together.

Core expertise

I earned my PhD in Psychology at the University of Oregon, completed post-doctoral work at Harvard where I was hired on as a Research Associate, and most recently led technologist-focused science as Principal Research Scientist at the Developer Success Lab. I’m available to bring that same rigor directly to your projects.

  • Statistical Methods & Modeling
    • Hierarchical Bayesian models, multilevel & SEM frameworks
    • Simulation studies, causal inference, power analyses
    • Reproducible pipelines in R, Stan, Python, SQL
  • Research & Study Design
    • Experimental, observational, quasi-experimental, and mixed-methods approaches
    • Pre-registration, sampling frameworks, measurement validation
    • Integrated qualitative insights
    • Survey-embedded experiments
  • Surveys & Instrument Development
    • Question wording, scale construction, psychometric evaluation
    • Sampling strategies and weighting for representativeness
    • Missing-data handling, data cleaning
  • Applied Qualitative Integration
    • Qualitative interviewing
    • Thematic transcript coding
    • Quantitative natural language processing

Engagement Model

All work is package-based—we collaborate on a plan that includes a block of hours each month for live collaboration (video calls, async chat) and all deliverables (analysis scripts, study plans, slide decks). Packages scale from a quick sanity check to an accelerated, end-to-end research sprint.

What I bring to your team

  • Broad research experience: 15+ years across multiple methods and domains of inquiry
  • Transparent workflows: Code and analyses shared via version control with clear documentation and we work together to make sure everything is reproducible.
  • Crafted for your audience: Reports, slide decks, and visuals are created to be understood by stakeholders with a variety of expertise.
  • Collaborative, communicative: Regular check-ins and draft reviews keep us aligned.