Communities management
September 10th, 2020

How to Make Employee Recognition Easy for Comms and Special for Staff

by Grytics

Employee recognition is essential for making your staff feel valued and happy at work. 

Moreover, when employees receive praise, they’re more likely to contribute to the company’s goals – and stay.

When surveyed, 69% of employees cited recognition and rewards as a top reason to remain with their current employer.

But it’s not always easy to give employee praise in a large organization.

HR and Comms in charge of recognizing staff achievements need an efficient way to provide meaningful feedback regularly.

That’s where enterprise social network (ESN) analytics come in.

ESN analytics tools help you quickly identify praiseworthy employees, recognize them for their workplace performance, and boost their morale and productivity.

Tap into ESN data for employee recognition

Every day across your org, employees use the ESNs (such as Workplace and Yammer) as a collaboration tool. Their group messages, comments, and reactions create a trail of data – valuable information to enhance your employee recognition strategy.

But knowing who to thank from endless streams of social data can quickly complicate the recognition process.

Filtering the ESN information through an analytics tool will help you choose the employees you want to congratulate – all with a few clicks.

Additionally, you can set up the analytics to send alerts on specific keywords. For instance, you can identify when projects are done and who should be thanked.

Personalize the praise

For the employee you wish to thank, the praise must fit certain criteria to make it meaningful.

For example, it helps to understand the mood behind the engagement activity. But knowing the tone of text-based communication can be difficult.

Sentiment analysis lets you identify whether a group’s communications are positive or negative.

Moreover, your analytics tool can help you deliver staff recognition that’s efficient, specific, and accurate.

Check your timing

Thanking someone for their efforts on a successful project as soon as the work is done has a significant impact on morale. If the recognition comes three weeks later, the meaning diminishes.

From the analytics dashboard, you can customize alerts based on keywords to ensure you deliver recognition on time.

Make the praise specific

Telling someone “Great job” can feel generic for the recipient. Before you deliver the appreciation, analyze the team’s social data to identify particular accomplishments.

Get your facts straight

Messing up the details on a person’s contribution can make the praise feel awkward and insincere.

Use a hashtag or keyword search to do a fact-check on what the person achieved.

Give helpers credit

As the front person on a project, the team leader might get most of the accolades. At the same time, the team members’ efforts may go unnoticed.

Run an analysis to find out who contributed to the project or successful campaign and thank them.

Additionally, managers can set up a social network Wall of Fame. There, they can easily reward employees for their contributions and boost engagement.

Get leadership involved

Getting the CEO involved in employee recognition can have a powerful impact on workplace morale.

However, it’s not always easy to funnel information to the executive team to thank the employee (or group) for a successful job.

To make the recognition process efficient for you and the C-suite, you can quickly generate (and send) an analytics report to support your employee recognition recommendations.

Recognize and thank your employees for their efforts

Hard-working employees want to feel valued and appreciated within the organization. From a shoutout at a team meeting to a personalized note from the CEO, the recognition can positively impact staff performance and retention.

Likewise, for Comms teams, having access to an easy-to-use analytics tool makes the employee recognition process efficient, successful, and meaningful.

Employee recognition made easier with people analytics

Let’s get started 

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