In 2017, Rio Tinto engaged CSIRO for a three-year project to apply the CSIRO approach with communities in the Pilbara region. The project is called Local Voices. Australia's national science research agency switched to QuestionPro Offline Surveys to save time and effort on this project.
With Local Voices, CSIRO was giving communities, across Australia and around the world, the opportunity to confidentially express their views and experiences with industry or organisations in their local area. The independent, valuable insights generated by the program help companies and communities build stronger relationships. Their objective was simple - find a survey solution that would work remotely without a network connection, and later sync when online to provide insights as required.
Conducting surveys in remote locations posed some big challenges for CSIRO, as they had expected to collect the survey data manually on paper and then have to transcribe this data. They were also concerned that some of the online survey solutions would need an active and reliable internet connection, which was difficult in the locations they were covering. In addition, they also believed that given the lower literacy levels in the communities they had to cover, an in-person solution was needed. The survey solution they needed had to address all of these concerns if they were to use an online solution.
Using the Mobile App on iPads in offline mode is the reason the team have been able to scale up their operations to include more data collectors and reduce errors in data transcription, as there is no transcription needed. They have also successfully expanded to other countries where this project needed to be implemented.
As per feedback from our contact, Robert A. Muenchen, "We have been using QuestionPro Offline Surveys since the beginning and never faced a single issue with the offline app either from a sync perspective or a data security perspective." The Voconiq team has been using the service for over 3 years now and have since expanded the team to collect more data from a larger response region. This was scaled effortlessly at both the customer end - adding more users and devices, and on the server end - to be able to support the increase in the amount of data being collected and stored on the client account.