AxiaOrigin, a management consultancy firm, works with businesses on solving their most complex problems. Their client was building a ‘Global Culture Index’, a global study of how people from each country understand their own culture and other countries’ cultures. To create the index, nationally representative samples were collected in 50 countries across the world. Timelines were tight: we had less than a month end-to-end to complete the study.

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In order to rise to this challenge, there were a number of difficult considerations to overcome: 

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• Achieving a nationally representative profile in hard-to-reach markets while retaining high data quality e.g., in Sub-Saharan Africa, East Asia
• Scaling up the size of the project to achieve a large sample size, and delivering this data within the given timelines
• Delivering a complex survey structure to meet the research objective, by implementing new data structures with our expert team of engineers

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Delivering data on a global scale, at an unprecedented pace

Focaldata’s rigorous approach to multi-market projects helped to reduce the anticipated fieldwork timings by 50%, delivering high quality data faster and more efficiently. The team at AxiaOrigin could check in on fieldwork progress and access interim data files on Focaldata’s dashboard. The accessibility, flexibility, and transparency of the dashboard allowed for AxiaOrigin to focus on developing their analysis tools throughout the project, rather than waiting until fieldwork had closed and final data was delivered.

Giving you the time to focus on the things that matter

Using Focaldata’s technology enhanced offer let AxiaOrigin focus on the things that mattered most to them. Focaldata handled everything from scripting and translations, through to fieldwork management, data quality and data delivery. Translations were processed in 5 days, going through quality control of native proofreaders to ensure accuracy. This gave AxiaOrigin with more time and thinking space to develop their data models and take a deep dive into the story that the data was producing.

Ensuring high data quality, for trustworthy results

The results provided were of exceptional quality. Among a larger pool of respondents who qualified for the survey, we only retained the top 50% most high-quality respondents. At Focaldata, we carefully select the respondents we retain in our final samples using both automated checks and human review. These AI-powered automated checks automatically remove speeders, bots, and flatliners, while waves of human reviews by members of the research team mean we could provide complete trust in the results. 

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