Creating a High Performance Culture - PART2
How the top companies in the world create a High Performance Culture
Last week we left off with these challenges to undertake during this sprint:
How to measure if a chatbot is increasing long term employee engagement in typical boring data submissions
How differently employees interact with a chatbot, compared to management software
What we did
The best way to validate these 2 points was to develop and test something for ourselves to use, integrating our everyday tools. So we created a Slack chatbot that allows users to input their date into the Clockify App.
Slack is an extensive chat application, that allows the creation of internal apps, and chatbots. Clockify is a time tracking app that we use to monitor time spent on various projects (remember “you can’t manage what you can’t measure”). It’s a cool app but a little arduous for daily use, and sometimes people forget to compile their work hours.
To answer these questions we had to work concurrently across stages: research, design, development and testing. We’ll narrow all these stages separately
The Answers
In order to answer question number 1, we tracked "number of incomplete weekly entries" for the 5 weeks before the introduction of the bot and the weeks after the introduction (just one week, yet)
The process described has been used in order to evaluate the result in the short term (current sprint), summarized in the following graph. For sure, we need to wait 4 more weeks to have more reliable data.
To answer question 2, we have considered quantitative and qualitative data.
For the quantitative data, we took into account the entries in Clockify during the weeks before the adoption of the bot, then we compared them with those during the test week. The result is an increase of around 30% on the completeness of the entries.
In order to collect the qualitative data we submitted a Giulia-bot appreciation questionnaire to the whole team. The results are shown in the Test section.
Main takeaways
Our mission as digital leaders should be Creating tools people can use to help themselves be their best self, aligned with the best version of their company.
Company culture largely determines a company's growth patterns
A chatbot can change the tone of voice, mood and interaction sentences during time, and users can answer questions with their own words, giving us the chance to run sentiment analysis to gather even more data from the employees.
In our test, the Chatbot increased data completeness during frequent collections (but we need 4 more weeks of data to actually compare datasets)
Taking up the user’s name frequently, greeting him, congratulating him etc. are some practices, which make conversations more personalized.
When it comes to choosing the technology to adopt, the most important aspect is the team's expertise.
Next Sprint
Everything in place to test the next prototype: this week we partnered with Leroy Merlin to better connect with their community creating an AR floor samples app for them. We are rethinking the in-store customer experience, we are going to share what user testing results will tell us next week.
Remember you can join the private conference call with Luca Prasso at Google next Tuesday. He will share with us Google tips&tricks to experiment new prototypes and ideas
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