Our Steps
PACCE brings well-grounded research and advanced analytical
skills to help our clients identify and understand the insights that matter most.
We employ a wide range of qualitative techniques to collect and analyse non-numerical data to understand ecosystems, concepts, motivations, beliefs, thoughts, emotions, opinions and experiences. These include contextual enquiry interviews, ubuntu classification, focus groups, research panels and user experience studies. We also leverage a number of prototyping approaches to test
concepts, designs and innovations, iteratively enhancing these to ensure optimal impact and mutual value creation.
Our quantitative research methods emphasise statistical, mathematical and numerical analysis of data collected through
polls, questionnaires, and surveys, or by manipulating pre-existing data using computational techniques. We bring advanced research design, interrogation, analysis and modelling capabilities that can be used to validate perspectives, identify issues, understand opportunities, develop strategies and inform robust business cases
Non Numerical Research
When developing strategy, macro trends and market context complimented with a deep understanding of human motivators and resulting behaviours can be a powerful insight base. PACCE uses multiple approaches and mixed methods research to supplement existing understanding and data sets. Some of the types of research we deploy regularly include:
Our Data Strategy Review
- Diagnostic assessment of current data capabilities.
- Agreed data strategy across the client organizations.
- Capability gaps for what changes are needed to achieve the strategy.
- Prioritized initiatives to build the required capabilities, organized into a roadmap with timings and dependencies.
- Business case with forecast benefits and investments.
