Research & Analytics

Academic-style rigor, business-grade outcomes

We deliver end-to-end research and targeted analytics for professors, students, universities, schools, and businesses. Advanced & multivariate statistics, machine learning, mixed methods, and action research—shaped to your goals.

ProfessorsStudentsUniversitiesSchoolsBusinessesNonprofits HealthcareLife SciencesEdTechComputer ScienceOperationsFinance ProfessorsStudentsUniversitiesSchoolsBusinessesNonprofits HealthcareLife SciencesEdTechComputer ScienceOperationsFinance
30+ years team experience Healthcare • Education • Life Sci • Business • CS IRB-friendly protocols

Choose how we work together

PhaseWhat we doArtifacts
DesignMethodology, mixed methods plans, sampling, power analysis, action research frameworksProtocol, analysis plan, IRB packet
InstrumentationSurvey design/validation, interview guides, rubricsQuestionnaire, codebook, pilot results
DataCollection, cleaning, governance, QADatasets, schema, QA logs
AnalysisAdvanced & multivariate stats, ML models, qual codingNotebooks, model cards, validity checks
ReportDecision-ready narrative & visuals for stakeholdersDeck, exec summary, manuscript, dashboards
ComponentExamplesDelivery
Study DesignHypotheses, sampling, mixed methods, action research cyclesProtocol + timeline
InstrumentationSurveys, interview guides, validation, rubricsTools + codebook
Data & ETLCollection, cleaning, merges, documentationDatasets + data dictionary
AnalysisSEM/MLR, time-series, classification, clustering, NLPNotebook + write-up
Write-upsExecutive summary, figures, manuscript editsPublication-ready doc
  • Methodology & design reviews
  • Code/model validation and reproducibility checks
  • Dashboard & KPI audits for ops and revenue
  • Change-management and stakeholder comms support

Methods & capabilities

ParadigmCapabilities
Quantitative Experimental / quasi-experimental • survey validation • multivariate / SEM • causal inference • A/B testing • time-series & panel models
Qualitative Interviews • focus groups • thematic/content analysis • mixed methods integration • AI-assisted coding (human-in-the-loop)
Machine Learning Classification & regression • forecasting • clustering/segmentation • NLP/topic modeling • model monitoring
Action Research Plan-Do-Study-Act cycles • practitioner partnerships • rapid iteration with embedded measurement
Deliverables Executive summaries • peer-review manuscripts • dashboards/data apps • stakeholder presentations

Who we serve & typical questions

IndustryCommon use-cases
BusinessMarket sizing • pricing/elasticity • churn prediction • cohort LTV • ops & revenue optimization
HealthcareProgram outcomes • patient experience • workflow time-study • risk modeling
EducationIntervention impact • curriculum evaluation • satisfaction & engagement • predictive success
Life SciencesStudy design • instrumentation • mixed-methods evidence syntheses
Computer ScienceProduct analytics • A/B testing • ML evaluation • telemetry dashboards

Pricing

Minimum implementation fee: $300. After that, engagements are billed at hourly rates or quoted as a fixed project. We’ll recommend the most cost-effective option after a short scoping call.
Engagement type Scope Billing Examples
A La Carte Targeted deliverables at any stage $300 min + hourly Survey design • data cleaning • model dev • manuscript polish
Small Project 1–2 components managed end-to-end Hourly or fixed Survey + analysis • dashboard build • lit review + write-up
Full-Service Study Design → instrumentation → data → analysis → reporting Milestone-based fixed Program evaluation • market study • mixed-methods research
Advisory & QA Standing office hours, reviews, and sign-offs Hourly / monthly Methodology review • code audits • analysis validation

Hourly work billed in 15-minute increments with transparent timesheets. Fixed projects include scope, timeline, and acceptance criteria.

Process at a glance

PhaseWhat you getArtifacts
ScopeGoals, constraints, success metricsBrief, timeline, cost options
DesignMethodology, instruments, data planProtocol, IRB packet (if needed), codebook
DataCollection, cleaning, managementDatasets, schema, QA logs
AnalysisStats, ML, qualitative codingNotebooks, model cards, validity checks
ReportDecision-ready story & visualsDeck, summary, manuscript or dashboard