Employee Feedback Chatbot
Real-Time Employee Feedback Chatbot in Slack.
2nd Watch wanted to create a way for people to exchange feedback instantly.
We created a real-time employee feedback chatbot that communicates with employees and aggregates information in a way that is constructive and immediate.
The chatbot quickly assimilated into the culture and environment, and it elevated the productivity of feedback and reviews overall.
2nd Watch’s goal for this project was to create a way for people to exchange feedback instantly, when it’s most applicable and advantageous. 15Five, at the time, was the tool that most closely encompassed this objective. However, it compelled bi-weekly evaluations of oneself and only optionally suggested “high-fives” – bits of positive feedback for teammates.
As a result, semi-annual reviews demanded that mentors scour for input from anyone who may have pertinent feedback to provide. This approach led to discontent among feedback gatherers, as they were pressed to aggregate feedback spanning a six-month period. Questions quickly arose such as “Wouldn’t it have been more useful for them to have known this when it happened?” or “Can you remember any specific occasions when this happened?”
Our solution was to develop an accessible tool that would encourage people to give (and as a result, receive) feedback when it’s most productive. Not only was it necessary to create a channel for said feedback, but it was essential that it fit into users’ existing routine.
Therefore, we created a real-time employee feedback chatbot in Slack. Users were already accustomed to logging into their accounts daily to chat with teammates, so we merely extended this routine by adding one more (hand-made) user for them to communicate with.
People quickly adopted the chatbot as a means of reflection and assessment. As in all cases, we had to encourage ratification, but we were pleased to find that people started to leave feedback for others immediately after meetings, in the evenings, or anytime an opportunity presented itself.
People also quickly took advantage of the chatbot’s “see your own feedback” feature. Everyone was curious to see what criticism or compliments they had received, which drew more interest and usage. Furthermore, mentors were pleased to find that they received customized alerts when their mentees received feedback. They found that it granted the opportunity to proactively act on significantly negative or positive feedback. Overall, the real-time employee feedback solution quickly assimilated into the culture and environment, and it elevated the productivity of feedback and reviews overall.