Frontir: emerging-markets research.
A mobile survey and market-research platform for African and emerging-market consumer data, sold as insights to corporates, NGOs and governments.
Anonymised case study. Project names are aliases used to protect client confidentiality. The case study covers the project’s challenge, approach, technology and outcome.
The challenge.
- Traditional research panels do not reach the millions of consumers living in low-bandwidth markets, so brands fly blind outside major metros.
- Surveys had to work on low-end Android devices, in intermittent connectivity, in multiple languages, with conditional branching logic.
- The platform needed rigorous response validation so insights sold to corporates and NGOs held up to scrutiny.
Our approach.
- Built web and mobile survey experiences in React and Redux with a rules engine for branching and conditional logic.
- Designed the runtime for low-end Android and intermittent connectivity so fieldwork keeps moving in low-bandwidth markets.
- Added response-validation checks on a PHP and Slim backend so insights hold up to corporate and NGO scrutiny.
- Localised the survey runtime for multiple regional languages.
The outcome.
- Research clients access representative panels in markets that were previously unreachable.
- Fieldwork throughput scales because enumerators keep working through dropped connections.
- Data quality is high enough that insights are packaged and resold to corporates, NGOs and public bodies.
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Where AI fits in retail & commerce.
Search that understands what shoppers mean, product copy and imagery generated against your brand rules, and support assistants that check order status before they answer.
Explore AI developmentClient feedback on our work, separate from the anonymised project described above.
Our journey with them has been nothing short of exemplary, far exceeding our initial expectations.
Questions about this build.
Still wondering something? Ask an engineer
The survey runtime is built for low-end Android and intermittent connectivity, so enumerators keep working where traditional research panels can't reach.
A React and Redux front end across web and mobile, with a PHP and Slim backend for response validation, on AWS.
Server-side response-validation checks keep the data clean enough that insights are packaged and resold to corporates, NGOs and public bodies.
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