DIMENSIONS offers a complete range of Qualitative and Quantitative services with its team of experienced and qualified research with more than a decade of research experience.
Other than its North American coverage Dimensions covers UAE, Saudi Arabia, Oman, Kuwait, Bahrain, Qatar, Iraq, Iran, Egypt, Jordan, Lebanon, Syria, Morocco, Pakistan, India & China.
Our Vision: ‘To empower managers by equipping them with the latest knowledge of their markets’.
Our Mission (Empowerment through knowledge) is based on our core values:
1. Address core issues of research
2. Develop best research design
3. Practice highest quality standards
4. Provide actionable findings
Our Proprietary Tools:
BDM (Business Decision Matrix derived through importance & performance index)
Adalyzer (copy testing Analysis)
PDClustor (Psychographic & Demographic segmentation Analysis
BEquator (Brand health monitor)
BPTS (Brand Price Trade Simulator – Estimates brand launch success)
Our Analytical capabilities:
Quantitative: Multivariate analysis, Significance testing, Correspondence analysis, Correlation & Regression, Factor & Cluster Analysis, Conjoint Analysis, Price sensitivity measurement, Brand Price Trade Off
Qualitative: Laddering, Word association, Sentence completion, Story completion, Personification Human/ celebrity/ animal, Bubble drawing, House building, Collage, Role playing, Brand mapping, Crystal gazing
Our Operational capabilities
With more than 700 interviewers, recruiters, transcriber & translators and South Asia based CATI stations we have the capability to conduct thousands of interviews and several focus groups per month simultaneously in multiple countries.
Our management style
We use ‘the rugby approach’ for managing our research projects where a complete team of researchers from all disciplines take a project from start to finish. With this approach we protect the overall quality control on our projects.
Our 3 Cs Project Competitive Edge is inspired from our mission:
1. Competitive prices
2. Competitive research design
3. Competitive data quality
