orchestrating-mixed-methods

Routing research tasks prevents false dichotomies between qualitative and quantitative methods by evaluating your evidence to suggest the smallest valid route, outputting a MethodRoutingDecision that determines if single-method or mixed-methods is appropriate.

Mixed-methods research is needed when tasks require triangulation across interviews, surveys, metrics, and case notes, applying sequencing rules to exploratory framing, measurement, and validation to handle mixed evidence and explicitly address missing evidence.

Routing tasks across exploratory framing and measurement validation applies capability mapping and sequencing rules to structured evidence like surveys and open-ended data like interviews, explicitly handling missing evidence to produce a valid MethodRoutingDecision.

The research method router works with structured evidence including surveys and metrics alongside open-ended data like interviews and case notes, mapping capability classes to suggest the smallest valid route for your mixed evidence.

Preventing premature method choices involves routing research tasks across qualitative, quantitative, and mixed-methods decisions, avoiding false dichotomies by determining the smallest valid route based on available evidence and explicit handling of missing evidence.

Mixed-methods routing explicitly handles missing evidence by applying sequencing rules and mapping capability classes, ensuring the MethodRoutingDecision accounts for gaps in interviews, surveys, metrics, or case notes before suggesting a route.