Harvest Mobile v1.17

By
Tim Ha
February 24, 2023

Highlights

MVP Diagnostic Survey for LMAs

As much as we want to address problems preventatively, the reality of the field is that a lot of operational issues do come from households calling the field agent and saying they have a problem. Supporting this process to happen smoothly and methodically benefits the household because more issues are resolved quickly, benefits the field agent because they are empowered to solve more problems on their own, benefits the customer because fewer issues are raised to them, and benefits us because if we do get pulled into a debugging conversation we’ll have much more data about the situation to speed up and improve the outcomes of each conversation.


To test whether we can achieve these outcomes, we have implemented an MVP embedded survey to run an experiment with one of our customers. We’ll use the feedback and outcomes of this experiment to further build out this feature, integrating smart analytics and other optimizations to the decision tree down the line.

Automated grid-line detection

We had previously built into the mobile app the ability to select what households were connected together. The intention was that having the data that shows what houses for clusters is useful for visualising projects on the map view in our platform and to help with debugging. However collecting this data manually was tedious for the installers and not always reliable. We have now developed a clustering algorithm that can detect what houses are interconnected via their remote data, and this release removes all the manual features from the app to simplify the field team’s experience.

Stability improvements

We had previously built into the mobile app the ability to select what households were connected together. The intention was that having the data that shows what houses for clusters is useful for visualising projects on the map view in our platform and to help with debugging. However collecting this data manually was tedious for the installers and not always reliable. We have now developed a clustering algorithm that can detect what houses are interconnected via their remote data, and this release removes all the manual features from the app to simplify the field team’s experience.

After a stint in the world of Electrical Engineering, Tim tapped into his creative side and worked as a freelance photographer and filmmaker in Cambodia for three years, with a focus on short documentaries for NGO’s. Now he’s able to combine his technical engineering skills with his love for telling stories and creating content at Okra.

#PowerToThePeople