Research Methodology
This page outlines the general methodology we apply across all our research. It covers how we structure our research process, collect operational data, build benchmarks, and validate findings with expert insight. Below, you can explore how this methodology is applied to specific data domains, with tailored benchmarks and KPIs relevant to each area.
Research Question
Define a research question that explores the relationship between key benchmarks, practices, and the implementation of a given capability or framework
Clearly defined research scope and objectives
Research Hypothesis
Formulate multiple hypotheses that can be tested and validated using collected data and research findings
Clearly defined research hypothesis that can be either rejected or not
Survey Data
Transform data into metrics
Expert Insight
Aggregate expert insights and findings with general trends and news in the market
Benchmark KPIs
Aggregate insights from benchmarks with expert knowledge
Survey Data
Transform data into metrics
Benchmark KPIs
Expert Insight
Aggregate expert insights and findings with general trends and news in the market
Aggregate insights from benchmarks with expert knowledge
Domain-Specific Methodology
Each data domain we research carries its own complexity, context, and set of operational variables. This section details the specific methodology rules and benchmark criteria applied within each domain, giving you a transparent view of how we define, measure, and validate findings for that area.
Benchmark Your IT Operations Journey against industry average
See how leading organizations design, manage, and transform IT operations based on real implementation and market data, not assumptions.