Increasing competition, continually evolving marketplace, and disruptive technologies require an engaged workforce as a prerequisite for survival and growth of organizations. As per Gallup’s research1, organizations with engaged employees tend to produce four times greater earnings-per-share growth, increased productivity, customer engagement, and more profitability.
The global analyst, John Bersin2 has stated that “Turnover is so painful with this job market that companies are realizing we’ve got to take better care of our people or else we won’t grow.” Further, he believes that artificial intelligence is a passkey to unlock employee engagement strategies on a global scale. This article discusses AI-powered solutions that can engage individuals to function at their best performance. Intellectual, Affective, and Collaboration are the three key features that sum up the definition of employee engagement.
In a workplace an engaged individual is likely to have:
- Belief in the organization
- Understanding of business context and its ‘mission’
- Desire to make things better
- Willingness to work in a team to achieve results
- Enthusiasm to ‘go the extra mile’
- Staying up to date with advancements in the field
The employee engagement survey by Gallup recorded a few points:
- 51% of US workers don’t feel engaged at work.
- Businesses with highly engaged employees noticed 21% rise in profit.
- If employee engagement in an organization is high, then it impacts employee retention by 87%.
Studying the above statistics, it’s no wonder that employee involvement is one of the biggest roadblocks limiting an organization’s growth. So, what keeps an employee engaged? Different organizations have different workforce participation strategies, and one-size fit all strategies. If traditional tactics can only take you so far in your employee engagement journey, then what can push us forward? Contextual, personalized, engagement at scale is the next frontier.
Organizations are leveraging the potential of artificial intelligence to provide increasingly contextual, personalized employee engagement in specific areas. AI tools empower organizations to refurbish their strategies, right from employee onboarding to ongoing performance management addressing the three key features of employee engagement, intellectual, affective, and collaboration.
It’s time to reinstate the traditional employee participation strategy with AI solutions to reverse the course of the engagement.
Willingness to perform your best for self-growth and organization’s growth.
Learning and Development
Irrespective of the motivation to take up a job, surviving and flourishing in a job requires you to meet performance goals, invest in learning and development as a way to retain and grow your career. Most organizations look at training and development as a statistic in terms of training hours or with limited ways to holistically integrate learning to performance development. Secondly, due to immense complex workload and project deadlines, taking out time for developing a new skill is quite difficult, and thus most of the best-suited employees lag behind.
The AI-powered predictive analysis can identify employee disengagement as it unfolds thereby allowing early interventions to course correct. From a neuroscience perspective, a key reason for disengagement is anxiety and panic resulting from skills mismatch with the role requirements. AI systems, once set up, can hand hold the employee to learn the required skills before they fit the role of leadership.
To demonstrate emotional quotient that means positive commitment and feeling good about doing a certain job.
Communication is the key to employee engagement. By integrating AI chatbots, several communication-based aspects become approachable, such as onboarding experience, driving engagement programs and learning & development. When these chatbots function effectively, it makes the employee’s communication more interactive and collaborative.
Like, what happens when an employee joins a company? The working day starts with orientation. Now, AI chatbots can help in these sections by ousting the entire company handbook with precise information-based questions, which an employee can ask from the chat assistants. Similarly, AI chatbots serve as efficient tools by crawling through directories and delivering important policy updates, services, and learning resources along with simple and fast feedback gathering. According to a report in chatbots magazine, 80% of the organizations are foreseen to incorporate chatbots by the end of year 2020.
Long surveys to provide feedback or raising tickets for issues are two traditional ways followed by organizations to get insights from the employees. AI skips the long queue of processes and provides AI-powered responsive platforms for capturing real-time feedback.
Furthermore, the AI tools use sentiment analysis to generate better insights into employee’s workplace mood and other factors such as what’s in their mind, general attitude towards an organization, satisfaction in collaboration with colleagues, and much more.
Integrating AI platforms can flag the smallest challenges faced by employees in the workplace. So, it boosts the chances of addressing a problem as soon as it appears, which cuts down time-consuming and resource-heavy tasks, enhancing individual employees’ performance and motivation.
Performance management platform
Forbes suggests that only 6% of organizations believe their existing performance management process is significant. The challenge organizations face is to define the right performance goals, and then translate them into key skills and leadership behaviors required in the organization in the face of change and competition. The world of performance management is changing swiftly with technology, specifically with the help of tools and programs based on artificial intelligence.
Workplace bias, conscious and unconscious, is a major roadblock, among many others, that defeat effective performance management. AI-enabled performance management platforms tap in to the human and organizational data without the emotions. Data is translated into information by the brain. It is then persisted via action by applying an emotional lens, resulting in actionable intelligence. We end up saying, it was an intelligent choice. As a result, employees remain satisfied and stay motivated to perform better, which in turn enhances their engagement in job roles more efficiently.
Social engagement within an organization:
Positive, meaningful, and healthy interaction between colleagues is important at a workplace to form a social engagement circle.
AI can significantly improve teamwork by changing the way people work and collaborate, which includes communication among colleagues, team meetings, and information sharing via any other channels.
The planning and attending the meeting within a team include a protracted process such as scheduling, member’s availability, sending invites which, results in a significant loss of work rate and productivity and thus influences employee engagement. In this space, AI-powered tools can shorten preparation time by setting them automatically based on employees’ availability. Furthermore, AI can remind employees of a meeting and join them automatically through face recognition.
Similarly, AI can facilitate information sharing smoothly by sending notes around to the relevant people in the loop. Also, it can connect employees automatically after analyzing information and data from different sources.
The enactment of such a process-oriented task can relieve employees to engage in critical and productive activity furthermore enhance engagement.
Artificial intelligence assisted employee engagement systems are emerging today with a view to solve a myriad of challenges across performance management, productivity acceleration, improving learning and development programs, and identifying critical issues as close as possible in real-time. The focus is back on the employee and helping them become successful as a prerequisite to building strong companies.
K4Coach™ Individual Performance Platform, neuroscience based, brings together macro (business context) and micro (individual goals) objectives through our proprietary SPICED™, work environment attractiveness framework, and 3F™ a personalized, actionable, & micro-goals coaching platform, to boost performance of individuals leading to high performing teams and companies.