Building a machine-learning, natural language based referral service
Fortem had an existing digital system they used to monitor the performance of their staff. However, one vital aspect of this performance was missing: referrals.
Without tracking the current referral rate, Fortem were missing out on a key performance indicator for their board reporting. They needed to build a new referral service that could fit within their legacy systems.
Finally, they wanted to be able to ‘white label’ and take this product to market, establishing a USP for their brand and drive real growth.
3 day Design Sprint at Fortem’s offices in Hitchin to align on the problems and prototype a
User testing with field operatives, iterating the product based on their feedback.
Using Microsoft Cognitive Services, we were able to build a mobile app that uses natural
language processing. So operatives could literally speak into our app and have the
sentiment assigned automatically for their referral.
- Field operatives now use this mobile app as their default way of referring any issue that
they come across.
- Backend system integration has been a success and we’re now devising a go-to-market
strategy to commercialise the product.
“We worked closely with the team from the initial concept through to implementation. I was impressed at the speed they could deliver and the fresh ideas they brought to the table to help us create an innovative and engaging mobile app.”
Systems Director, Chris Hone