Stop searching for a methodologist. Start working with one.

Answer six questions about your project to find the right methodologist — no job posts, no cold emails, no guesswork. We match across 50 curated techniques.

Founded by a quantitative psychologist

Less time searching. More confidence in who you find.

Skip the search

Methodologists are matched by the techniques your project needs — not by job titles, keywords, or who happens to be in your network.

Know it's the right fit

Every match shows which of your required techniques are covered, so you can judge the fit before you send a single message.

No inbox to triage

A conversation only opens when you're both interested. No pitches, no cold emails, no bidding.

Are you a methodologist? Projects that need your expertise come to you — nothing to bid on, nothing to pitch.

How it works

From project to methodologist in four steps.

  1. 1

    Get matched

    Publish your project and see methodologists ranked by how well their expertise matches the needs of your project.

  2. 2

    Mutual interest

    Say you're interested. When the methodologist also expresses interest, a private conversation opens.

  3. 3

    Complete the work

    Agree on project scope and terms directly, then track the project to completion.

  4. 4

    Mutual review

    Both sides review the collaboration, so every future match is better informed.

The guided skill finder

Answer six questions. We'll tell you what your project needs.

No statistical vocabulary needed. Try it now — it takes about a minute.

Question 1 of 6

Are you designing, scoring, or validating a survey, test, or psychological scale?

For example

  • Writing a new questionnaire to measure burnout in nurses
  • Checking whether an exam's questions are fair to every group of students

Questions, answered.

Do I need to know which statistical methods my project needs?

No. Answer six plain-language questions and we'll suggest the techniques. You can add, remove, or change any of them at any time.

How are matches scored?

Match scoring is based on how much of your project's analytical need overlaps with a methodologist's expertise and preferences. You mark each technique as Required, Preferred, or Nice-to-have. We'll show you the breakdown of how each methodolist matches your project.

How do I know a methodologist is qualified?

Methodologists declare the analyses they know and rate their own proficiency. We don't certify anyone — instead, every match shows which of your requirements the methodologist meets, so you can judge the fit before you talk.

Do you match on my project description?

No. Matching runs on the analyses you require for each project, never on an analysis of your project description.

Who can contact me?

No one, until you've both expressed interest. There are no cold messages, and no contact details on any profile or project. You can message people only after you've both expressed interest.

Do you handle payments or contracts?

On day one, we only handle subscription and seat payments directly to Statistitch. We do not handle payments or contracts between users. Projects owners and methodologist can use Statistitch messaging to agree on scope and terms directly, but it's not required, and we do not facilitate any other payment or contractual relationship. Our purpose is to help you find each other.

How much does it cost?

Joining the waitlist is free. Pricing isn't set yet, and you'll see it before you're ever asked to pay.

I'm a methodologist. Can I join?

Yes. Choose "I am one" when you join, and projects that need your techniques will come to you.

How many methodologists are on the platform?

Not many yet — we're in private beta and the pool is still growing. A marketplace whose matches are wrong doesn't get better by adding messaging and payments, so we built the matching first and are growing both sides deliberately.

When will I get access?

We're opening in batches and balancing both sides of the marketplace. We'll email you when your seat is ready.

For methodologists

Get found for what you actually do.

On a general marketplace your specialization reads as a narrow profile. Here it's the whole basis of the match — so the more precisely you describe your expertise, the faster the right projects find you.

Tag your expertise

Declare the analyses you know. We'll surface projects that require those analyses, with the overlap specified — you can tell in seconds whether it's worth your time.

A fuller profile means better matches

Every technique you add makes you eligible for more projects. Leave one off and the projects that need it may never reach you.

Rate yourself honestly

Proficiency can only ever discount a match, never inflate one — so there's no advantage to overstating it, and everyone here knows that.

  • Projects come to you — nothing to bid on, nothing to pitch
  • One account, both sides: post your own project from the same login
Join the waitlist

Stop searching. Get matched when we open.

We're opening access in batches. Join now and we'll email you when your seat is ready.

  • Free to join
  • No account or card needed
  • Leave the list anytime
  • We only email about your place in line

Waitlist powered by Clerk

Private beta. We'll only email you about your place in the queue. Privacy.

50 analyses, weighted to fit your project.

A curated vocabulary, not open tagging — so a technique can be marked as essential rather than merely useful, and two people describing the same method always land on the same one.

RequiredPreferredNice-to-haveMark each one you need. The match is scored based on your needs.
Descriptive & Exploratory Data Analysis6
  • Summary & Univariate Statistics
  • Bivariate Associations & Correlations
  • Epidemiological Descriptive Metrics
  • Exploratory Visualizations
  • Data Screening & Diagnostics
  • Missing Data Imputation
Group Comparisons & Hypothesis Testing5
  • Comparison of groups (Parametric)
  • Comparison of groups (Nonparametric)
  • Repeated Measures & Mixed Designs
  • Biostatistical Association Tests
  • Post-Hoc & Multiple Comparison Corrections
Predictive Modeling & Regression Analysis7
  • Linear Models
  • Logistic Regression
  • Ordinal & Multinomial Outcomes
  • Generalized Linear Models (GLMs)
  • Mediation and Moderation Analysis
  • Random Effects/Mixed Models or Hierarchical Linear Models (HLM)
  • Count Data Regression
Time Series & Temporal Data Analysis5
  • Classical Time Series Models
  • Smoothing & Decomposition
  • Vector & Multivariate Time Series
  • Intervention & Impact Analysis
  • State Space & Dynamic Models
Survival Analysis & Event History2
  • Non-Parametric Survival Analysis
  • Semi-Parametric & Parametric Survival Analysis
Clinical Trial Design & Bioequivalence4
  • Trial Architecture & Randomization
  • Equivalence & Non-Inferiority Testing
  • Interim Analysis & Adaptive Designs
  • Diagnostic Accuracy & Biomarkers
Psychometrics Measurement & Scale Validation8
  • Survey and Test Development
  • Factor Analysis
  • Classical Test Theory (CTT)
  • Item Response Theory (IRT)
  • DIF Analysis
  • Standards Setting
  • Computerized Adaptive Testing (CAT)
  • Cognitive Diagnostic Models and Diagnostic Classification Models
Advanced Structural Modeling2
  • Structural Equation Modeling (SEM)
  • Latent Class & Mixture Modeling
Causal Inference & Experimental Design3
  • Propensity Score Methods
  • Quasi-Experimental Techniques
  • Power & Sample Size Analysis
Machine Learning & Computational Biology4
  • Supervised Classification & Regression
  • Unsupervised Pattern Discovery and Cluster Analysis
  • High-Dimensional & Omics Analytics
  • Resampling & Robust Estimation
Specialized & Advanced Analytics4
  • Meta-Analysis & Effect Size Synthesis
  • Bayesian Inference & Modeling
  • Text Analytics & Sentiment Analysis
  • Spatial Autocorrelation & Mapping

11 categories, each curated by hand. Read the definitions →

The team

Built by a methodologist and an engineer.

Dr. Robert Henson

Dr. Robert Henson

Ph.D., Quantitative Psychology

Associate Dean of Research, School of Education, University of North Carolina at Greensboro.

Kevin Koperski

Kevin Koperski

Product & Technology

Product innovator. Successful startup founder with multiple Fortune 500 exits.

Why we built this

We did this by hand for years.

Bob spent years matching methodologists to grant-funded research — using his network and knowledge about which colleagues had run similar analysis and might be interested. It worked. But it didn't scale well, and it never reached anyone outside the network.

Statistitch does the work in the open: simpler on both sides, explaining the analyses, so you learn what your study needs while finding someone to do it.

In the AI era

Why human methodologists still matter.

AI can draft an analysis plan in seconds. Whether it's the right plan for your study is a different question.

Plausible isn't the same as correct

AI can produce an analysis that runs cleanly and reads convincingly but is wrong: the wrong test, a violated assumption, a miscalculated result. A methodologist catches it before a reviewer does.

Someone stands behind the analysis

A methodologist can be named on your grant, sign off on a plan, and later explain why certain analyses were used. An AI can't do any of that.

Sensitive data stays where it belongs

Data covered by an ethics board, a data use agreement, or privacy law often can't be pasted into a chatbot. A methodologist can work under the same agreements as you.

AI is a useful tool, but it won't ask the question you didn't know to ask. Use AI for speed. Bring in a methodologist for judgment.

Join the waitlist →

For teams and institutions

Bring your department, lab, or research group into a shared workspace. You can get seats for the researchers who need them, projects that belong to the institution rather than to one person, and one bill instead of many. Arriving at launch.

Talk to us →