MMIntegrator™
AI-powered mixed methods integration engine for synthesising quantitative and qualitative findings into publication-ready outputs
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Go to Learner PortalHow It Works
Three steps to a structured, publication-ready integration of your mixed methods findings.
01
Enter your findings
Input your quantitative findings (variable, finding, significance, effect size) and qualitative themes (theme, description, frequency) into structured tables. Add optional research context for a more tailored analysis.
02
AI builds your Integration Matrix
The AI maps each quant finding to each qual theme, classifies the relationship (Convergence, Expansion, Complementarity, or Divergence), and provides an academically grounded interpretation for each link.
03
Receive your integration report
Get a full publication-ready report: Integration Matrix, Convergence Map, Divergence Map, Interpretation Support paragraph, Meta-inference statement, and an Integration Quality Check badge.