Learn How You Can Reduce Emails. We Discuss Findings From the Harvard Business Review
But what were the highlights and what can your company do?
Highlights of What the Team Achieved:
- Within 3 months, the team’s emails had reduced by -54%.
- The email reduction from the other 73 reports was -64%.
- Productivity increased by +7% throughout the business.
Highlights of What the Team Did:
- Approached emails like a lean manufacturing business.
- Understood that they were sending 56 emails per day.
- Aimed for a reduction of -20% within 4 months.
- Received weekly reports on how many emails sent.
What Can Your Company Do to Reduce Emails?
There are 7 steps to significantly reducing emails within your business. This is a practical solution using the tech available to you. Note, this solution only works if your company uses Microsoft 365.
Step 1: Awareness
Share with people in the business a way that they can see how many emails they send each month. This is a starting point for them to realise how many they send. They will compare this to each other. They’ll make excuses for why they are higher than others, and then the magic happens.
Each employee simply goes to Microsoft Analytics: https://myanalytics.microsoft.com/?v=collaboration and signs in. There they can see their Microsoft analytics. This shows how many emails they sent in the last 4 weeks.
Step 2: The Calculation
In the case of the person below, they sent 555 emails in the last 4 weeks. Encourage your employees to divide by 20 (Average working days per month). This means that this user sent 28 per day. Dividing this by an average 9 hour day is 3 per hour, or one every 20-minutes.
Plus, encourage them to be aware of this fact which is also shown in analytics. How quickly they look at each email when it arrives. This will help them to be aware of how ‘attached’ to their inbox, they really are.
Step 3: Setting the Target
Agree on a percentage reduction you wish to make as a business. Make this public. Create a SharePoint file and ask everyone to add their number of emails, and then let the file calculate the reduction needed for them. Post progress weekly showing those that achieved their targets. Train people how to improve.
The best of luck!