SITUATIONAL LEADERSHIP
“In the past, a leader was a boss. Today’s leaders can no longer lead solely based on positional power.”
– Ken Blanchard
Our understanding of leadership must continually evolve to remain relevant and impactful in today’s business climate. One method of leadership that develops an ability to meet the ever-changing needs of an organization and its employees is called Situational Leadership.
Situational Leadership is adaptive, flexible, weighs variables, and provides us with the tools to best suit our current circumstances and meet our desired goals. A leader who is capable of this approach will embody the following five characteristics (1):
1) Insight: A Situational Leader understands the needs of their employees, then adjusts their leadership style to meet those needs.
2) Flexibility: A Situational Leader moves seamlessly from one leadership style to another to meet current demands.
3) Trust: A Situational Leader gains the trust and confidence of their employees.
4) Problem Solving: A Situational Leader solves problems using the most applicable leadership style for the current challenge they are facing.
5) Coach: A Situational Leader is capable of evaluating the maturity and competence of their employees and then applies the best strategy to enhance their employees’ skill sets and goals.
Two researchers, Paul Hersey and Ken Blanchard, developed the Situational Leadership model during the mid-1970s and subsequently developed separate, revised models. The underlying concepts of their models focus on adaptive leadership styles tailored to a group’s maturity/developmental level.
Pictured below is a graphic, combining elements from the Hersey-Blanchard Situational Leadership Theory and Blanchard’s revised Situational Leadership Theory II. It depicts four leadership styles on a supportive/directive scale, based on the developmental level of those being led: Delegating, Supporting, Coaching, and Directing.
Next, let’s discuss situational factors to consider when determining the best leadership style to use (2).
Begin by considering interpersonal factors. For example, a group lacking in efficiency and productivity might benefit from a style emphasizing direction, organization, and clearly defined roles. On the other hand, a highly productive group might benefit from a more democratic style allowing greater independence and input in decision making.
Secondly, you should consider the actual task at hand. A Situational Leader needs to have a clear idea of what a task entails to successfully guide a team or employee to accomplish it. This may seem like an obvious point, but it is not uncommon for a leader to lack the appropriate understanding of what’s required to complete a particular task/project, leaving a major gap in their ability to lead effectively.
Thirdly, consider the maturity levels of each individual based on ability and willingness. For example, assigning a project to a member who is willing but lacks the appropriate ability level is a recipe for failure (and vice versa). This is why the developmental levels were a key element of the Hersey-Blanchard theories.
And lastly, consider the situation you’re facing—hence, situational leadership theories. There are also instances when the situation itself will override all of the above factors. To help us visualize this, we overlaid the graphic below with some situational examples:
If there were an innovative change occurring in your organization, you may want to use a Delegating approach to encourage idea generation and collaborative teamwork. An interpersonal conflict may be best served by a Supporting approach, offering a high level of support but low amount of directives. A major reorganization prompting new processes/structure may call for a Coaching style with high support and high directives to guide your team through the changes. A major crisis would require you to immediately default to a Directing approach, overriding all other situational factors.
An additional Situational Leadership style that is helpful to use or combine with the Hersey-Blanchard model is called the Just Ask leadership approach (3). The Just Ask approach uses questions to increase alignment, engagement and accountability. It’s best used when working with a group of varying abilities or if you’re unsure about an individual’s ability.
The Just Ask approach requires comfort in not knowing. Leaders often find it difficult to allow their team to work through situations instead of just providing the answers for them. This approach is a great tool to release an answer-providing habit and learn how to ask more questions to guide your team to their own solutions.
There are four styles of questioning in the Just Ask approach: Professor, Judge, Innovator, and Director. The Professor style is best used to generate ideas, build understanding, and expand insight. The Judge style is most helpful when analyzing and prioritizing ideas, reaching decisions, and focusing on shared understanding. The Innovator style is helpful when exploring new directions, identifying opportunities, improving current methods, and rallying a team. The Director style is best used when implementing a plan, focusing your team to get specific results, and to spark action.
Here are some sample questions:
Ultimately, the key learning to take away from Situational Leadership approaches is that is a necessity in today’s business landscapes. By adding to our leadership skills toolbox, we can continue to grow in our own abilities and encourage our employees’ growth in the process. This will, in turn, promote growth and innovation in our teams and organizations.
References:
(1)–https://online.stu.edu/situational-leadership/
(2)–https://www.verywellmind.com/what-is-the-situational-theory-of-leadership-2795321
Interested in what we have to say? Check out our article on Employee Engagement.
Ashleigh partners with her clients to solve their most challenging problems. Her practice focuses on the intersection between strategy and people. She has deep experience in strategy development and implementation of key strategies, organizational design, executive coaching and change management. Ashleigh combines her experience, an understanding of organizational culture and a practical mindset to meet her clients’ needs.
TGG RANKED AS #4 BEST SMALL FIRM TO WORK FOR BY CONSULTING MAGAZINE
This month, The Gunter Group was recognized as Consulting magazine’s #4 “Best Small Firm to Work For” in the nation.
TGG Partners, Mike and Ashleigh Gunter, attended the Best Firms to Work For gala awards dinner on September 19th at the University Club of Chicago. “Mike and I were honored to accept this award on behalf of our firm,” said Ashleigh Gunter. “This is a wonderful accomplishment and recognition of our supportive team culture and values-based approach to leadership.”
The Best Firm rankings were based on an annual survey of 11,000 consultants, representing more than 300 firms. The survey measured six different categories of employee satisfaction including: Client Engagement, Firm Culture, Firm Leadership, Career Development, Work/Life Balance, and Compensation & Benefits.
TGG ranked #1 in the Best Small Firm’s Leadership category as well as a top five firm in the Work/Life Balance, Compensation & Benefits, and Career Development categories and in the top 10 for the Client Engagement and Firm Culture categories.
“We are building a sustainable firm, and in it for the long-haul,” said Mike Gunter. “We will continue to grow and build in a way that is consistent with our values.”
Learn more about TGG’s rankings in Consulting magazine’s September 2019 issue.
The Gunter Group is a management consulting firm headquartered in Oregon, serving the west coast with offices in Portland and Bend, Oregon, and Reno, Nevada. Learn more about us and the services we offer here.
ARTIFICIAL INTELLIGENCE & YOUR BUSINESS: 3 THINGS TO KNOW
For Starters: This is Not Skynet
Artificial intelligence is all around you. You have been using it for a while, probably without even knowing it. Gmail finishes your sentences. Your phone corrects your spelling and grammar. Instagram decides what to show you next. Spotify creates perfect playlists of new music. Advertisements know exactly what you’re thinking. You use AI hundreds of times a day.
For some of us, this is an uneasy truth at first glance. We imagine computers ruling our world with cold efficiency, slowly robbing us of our freedoms. But AI is not the villain from our favorite dystopian movies. As fun as it is to get lost in the world of Terminator‘s Skynet, I,Robot‘s VIKI, or Captain Marvel‘s Supreme Intelligence, AI is far less sinister in real life.
AI is a tool, helping to solve problems that require enormous computing power. It’s lines of code that process millions of haystacks worth of data to pull out a single needle in a matter of seconds.
The point: AI is everywhere, and it’s not the far-off villain of Isaac Asimov horror fiction. AI is a tool that is seamlessly integrated into hundreds of your daily experiences. It’s not just for nerds anymore.
Especially in business, there are a few things you should know about this tool if you expect to remain competitive in the coming decade.
3 Things You Need to Know:
(1) AI is Now a Commodity
Until recently, artificial intelligence was mostly the subject of science fiction writers; today it is the subject of your average software engineer. The application of AI has come a long way.
The business community has witnessed an integration of AI on a grand scale. Ubiquitous in all markets, it is written into many of the functions that we use on a daily basis. Furthermore, companies like Amazon and Google have used unimaginably large collections of data to perfect AI tools, and have commoditized them in the form of products like AWS and Google Cloud.
Some have chosen to ignore AI, not seeing value in tools they can barely understand. Meanwhile, fields that lean heavily on AI (like data analysis and business intelligence) have expanded rapidly in recent years. For example, CIO.com lists “BI Analyst” as the most in-demand tech job of 2019. AI is changing business.
A great example comes from an interview with the Harvard Business Review, MIT Sloan School professor Erik Brynjolfsson. He describes an AI program that reviewed recorded conversations of successful sales, and then listened in on active conversations between salespeople and potential customers. While they were on a sales call, the program used the data from successful pitches to make suggestions about words or phrases that the sales person could slip into their conversation to help close the sale. This small application of AI boosted sales by 50%.
Brynjolfsson strongly believes that the only thing holding businesses back is a lack of imagination by business executives on how to use these new tools in their businesses.
(2) Your Competitors Are Using AI
Even if you have a few data analysts on staff, you’re most likely not getting the most out of your software. Since AI is everywhere, it’s hard for CIO’s, tech leads, or business owners to find and use the full range of the tools that are available to them. For instance:
your CRM could be generating leads for your sales department in places they wouldn’t have thought to look
your supply chain solution could be dramatically cutting waste by ordering supplies to be delivered for the lowest shipping cost at the exact moment they are needed
your security solution could be identifying fraud and malware threats before they strike, saving you the time and money you would have spent recovering from one employee clicking one email
your ERP could be spotting spending trends and suggesting campaigns to your marketing team
You might ask yourself, Is it worth all the hassle? Do I really need to do all this? I’m getting along fine without AI, why would I change? If you’re asking yourself this question, you’re looking backwards, not forwards. Failing to make the most of AI is not just a missed opportunity; failing to utilize AI is an increasingly significant liability.
The proof is in the numbers. Netflix claims that a machine learning tool saves it $1 billion a year. Amazon used AI to influence the decision-time of online shoppers and cut it by more than a third. HBR found that companies using AI for sales were able to increase their leads by more than 50%, reduce call time by 60%, and realize cost reductions of 40%. If you don’t take advantage of AI, you will lose out to someone who is.
AI is now a necessity; it’s simply integrated into everything you do. Your CRM, ERP, website, and applications are all using AI. If you aren’t making the most of it, then this low-hanging fruit is spoiling inches from your hand. That is, if it’s not being snatched up by your competition.
(3) The Catch: It’s Not Magic
AI is certainly low-hanging fruit, and it doesn’t take an enormous investment to get more out of it. But it’s not a magic solution that will fix everything. AI is a complicated tool, and getting the most out of it requires knowing how to use it. Utilizing AI takes work. And worse, if you don’t use it correctly, then AI could actually lead you in the wrong direction. Ray Dalio put it best, “Be cautious about trusting AI without deep understanding.”
AI is a tool, and just like any tool it can be used improperly. With AI, bad input means bad output. There’s an art to using this tool.
Here’s a simple illustration. At one time or another, most of us have used the online radio service, Pandora. The process is simple. Tell Pandora a song or an artist that you like, and it searches an enormous music library to play a song that is similar to your input. You rate the suggestion in order to help Pandora hone in on your taste. This is AI at work, learning from your preferences.
But a tool is only as good as its users. If you vote thumbs down on your favorite song, then Pandora won’t play it again. Or if Pandora hadn’t invested in a large and diverse enough music library, it wouldn’t be able to return songs similar to the ones you like. The tool needs to be used properly in order for you to get the most of it.
AI solutions in business are no different: you need to use the tool properly in order for it to work properly.
So How Do I Do it Right?
There are three main components of a good AI implementation in business: know yourself, know what you need, and use the right data. If you don’t have all three of these components then at best you’re not getting the most out of AI, and at worst the tool will lead you in the wrong direction.
First: Know Yourself
An AI solution isn’t worth the investment if it doesn’t solve the specific problems facing your business. This makes sense in theory, but is hard for executive leaders to get right in practice.
The reason for this is not hard to grasp. CIO’s or VP’s of Sales have deep knowledge of their own departments and the business verticals relevant to them, but good tech integrations require organization-wide implementation, and this always pushes beyond the knowledge of a particular individual or department. It’s hard to see beyond the boundaries of your silo.
We begin every project with a current-state assessment. This seems like a logical first step, but it’s often overlooked. It involves gathering requirements that clarify the current-state needs and processes that are affected by a solution. This gives you a clearer understanding of what you need in the future. Many executives assume they already know this, but even the best leaders have blind spots.
A current-state assessment is the best starting point for any kind of project work, but it is especially important with AI. If you don’t have a crystal clear understanding of what you need from an AI solution, then all that will change is the speed in which you receive unusable or incorrect answers to your business problems.
A worthwhile software integration must always begin with a careful look inward, with an up-to-date assessment of requirements gathering and process mapping. Failing to do this has its consequences. If AI is integrated into an organization’s workflow without this look at your current-state, the result is solutions that don’t fit your business or market.
Second: Use the Correct Inputs
What sets real-life AI apart from fictional AI is one key aspect: general intelligence. AI can solve some problems faster and better than humans, but it can’t think for itself.
For example, AI programs have bested world champions in Chess, Go, Texas Hold’Em, and Jeopardy!. But there’s an important detail: the same AI that beat champions in chess can’t even play the game of Texas Hold’Em. Another example: an AI program has to sample tens of thousands of photos before it can identify animal pictures with any reliability, whereas a 2-year-old can correctly identify cats after only seeing one example.
But it’s not just games and image recognition: there are darker examples of AI falling short in big ways:
Developers at MIT were excited about the accuracy of their AI facial recognition software, until they realized that they forgot to build inputs into the software that could identify darker skin tones.
Biases built into AI solutions in law enforcement yielded inaccurate results with huge consequences, such as falsely singling out minorities for recidivism or counseling police to target ethnic neighborhoods.
Amazon used an AI recruitment tool that spent 4 years sorting out the resumes of female applicants, even specifically flagging the word “women” as cause for downgrading a resume.
AI tools are narrow, specialized solutions: you can’t expect to solve problems without teaching it how. It takes work to shape the tool to work correctly. Well-defined and clearly-articulated problems are inseparable from successful AI integrations. The payoff comes once a computer knows how to do a task properly, and can do it at a speed and volume that humans could never achieve. The good news: this work is absolutely within your reach, and most off-the-shelf software has easy-to-use feedback loops built in to help you!
Third: Use the Right Data
Imagine searching through a deck of playing cards to find the midday market report. Or searching through a 4-pack of crayons looking for an exact match to Robin’s Egg Blue. If your data set isn’t large enough or doesn’t fit your questions, then you aren’t going to find meaningful answers. This is especially true for artificial intelligence.
This can be daunting for someone new to AI. How do I know if data is high-quality? How do I know if I have a sufficient quantity? Without the help of experienced input, executives might be making data purchases that are unhelpful, or even harmful. The consequence of using AI with insufficient or bad data is inaccurate solutions and misdirection.
One Last Consideration: Don’t Reinvent the Wheel
Your business is unique, but your problem is not. Why spend time and money custom-fitting an AI solution to your business when a tool has already been developed for just that problem? Finding the right solution might just be a matter of having someone who knows the market helping you find the solution that fits your business.
Using Artificial Intelligence Well: A Case Study
A client of ours was experiencing stagnation in their financial and customer growth for the first time in their history, and couldn’t identify the reason for the slowing growth. They turned to The Gunter Group to help them revamp their digital strategy in order to expand to new customers.
This client had years of data on their customers that they didn’t know how to leverage. They offered great service, but they didn’t understand their customers’ behavior. So we started there.
We began with collecting their data, which consisted of several different types that needed to be aggregated into one system. We helped them build a unified repository, so that any insights they sought maximized the value of their data. In addition to helping them improve the quality of their data, we also helped them refine the insights they hoped to gather. At the beginning of the process, we engaged our experienced Business Analysts to help them integrate their knowledge of their organization’s structure and business goals into the process.
With the 3 important ingredients in place, we were ready to make the most of an AI integration to explore the data. Our team helped craft complex algorithms to create customer segmentation, cohort development, churn prediction, and market share analysis. They were able to use these insights to launch highly effective marketing campaigns, and began a path to predictive analytics to enable real-time interventions in the future.
This kind of example abounds in the business community today. Artificial intelligence is quickly becoming a commodity, available to all. You can’t afford to stay behind the curve.
The Gunter Group partners with organizations in Portland, Vancouver, Bend, Salem, Reno, and Sacramento, helping them to know themselves and seize the low-hanging fruit of AI. If you are interested in learning how we can help you to do the same, reach out today!
USING AN ARCHEOLOGICAL APPROACH TO DELIVER TRANSFORMATIONAL DATA ANALYSIS
Archeologists seek to understand human behavior through stuff – physical stuff. These artifacts of human existence are often ravaged by time, leaving the subtlest of clues for us to examine. Without context, archaeologists piece together the puzzle and hypothesize why humans of the past made certain decisions and how they interacted with each other and their environment.
As a former archaeologist, I’ve transitioned from the academic world into management consulting. At first glance, the two may seem unrelated but I’ve discovered that my background gives me a unique perspective and a surprisingly transferable skill set. I certainly know my way around a transected excavation pit and a trowel, but the skills I’m talking about are more akin to business intelligence, behavior science, and organizational development. Additionally, the academic discipline itself, like most in the liberal arts, provided an incredibly strong interdisciplinary education and honed my ability to learn new things and synthesize complex data quickly.
Archaeological education, training, fieldwork, and research commonly incorporate a wide range of disciplines, from botany and geology to sociology and economics. One day I might read a dense medical journal and the next study climate data, all while making novel connections to illuminate meaningful patterns. By now, I’m sure you can see how this would translate to a more corporate setting where business analysts, data scientists, and market strategists regularly flex the same muscles. What I love most about consulting is taking these insights and the scientific method and turning them into action so clients can better predict, understand, and adapt to their customers’ behavior.
For example, I recently helped a client understand how wait times impacted the customer experience and subsequent loyalty. Their assumption was that lower volume would reduce wait time thereby increasing volume again. I rolled up my sleeves to excavate their data and find out if this proved true. It turned out to be more complicated than that so I dug deeper to uncover the sweet spot at which wait times, volume, and customer loyalty could work in harmony to optimize results.
Such a dynamic situation can be difficult to articulate so I leveraged a commonly used framework developed by in-depth ecological research: the predator/prey model. When applied to the above business scenario, our analysis revealed a pattern that led us to actionable insights. We determined the retail equivalent of “ecosystem equilibrium” which indicated an ideal range for how long customers could be kept waiting without negatively impacting loyalty. We are currently testing our hypothesis of the maximum theoretical wait time in the real world. By engineering specific wait times, they will be able to collect additional data which will then be fed back into our model and drive continuous improvement.
Another recent example of archaeological expertise adapted to the business world comes from our work with a large retailer. This client was puzzled as to why one location showed double the sales compared to another only a mile away. Customer profiles, inventory, staffing, etc. were all so similar so why the disparity?
For this scenario, I invoked another scientific model: least cost pathways. The least cost pathways model essentially helps us determine the path of least resistance using weighted costs associated with various routes. In archaeology, this model might help explain seemingly odd trade patterns or dietary choices. In a modern business scenario, the same approach can be used to map human movement, both physical and virtual, and optimize location of brick-and-mortar stores, button placement on a website, or product placement on a shelf.
Through this lens, our analysis revealed that the under performing store required a U-turn and a left hand turn across four lanes of traffic. Meanwhile, the other store required only an easy right hand turn off a freeway entrance. Given this information, which location would you choose to do your shopping? Suddenly customer behavior made complete sense and store managers were able to direct their attention to the right issues and avoid unnecessary time and expense trying to solve the wrong problem. Going forward, executives have revised their strategy for key real estate and business decisions to incorporate these insights and avoid costly mistakes.
The potential of data analysis, especially in this age of “big data,” is immense but it’s important to use appropriate models to help explain that data and to ask the right questions in the first place. By thinking like an archeologist and working like a data scientist, I’m able to solve puzzles that save clients time and money.
TGG LEVELS-UP TECH PRACTICE
Gunter Group consultants converged on the Portland area last weekend to attend a 16-hour 2-day training on agile. The course, provided by industry leader Rod Claar, included a deep dive into agile best practices and featured hands-on learning experiences.
Participants learned the fundamentals of agile project management, especially with regard to the rules and roles of Scrum. This course positions TGG to continue providing the best possible service to our clients, by helping us to integrate proven best-practices with the experience many of us already have in agile environments.
What did you do with your weekend?
Part of a Larger Growth:
Half of TGG consultants in the field are trained or experienced in agile, as of last weekend’s course. This class was one of many steps made by TGG to grow its expertise in technology.
Over the past several years, we have seen technology become an important part of every aspect of business. More than 90% of employees in the US use the internet to do their job in some way, which means that IT isn’t just a single department in your business. Technology permeates every aspect of your business, from your customer-facing sales tech to your enterprise resource planning solution.
Tech Practice Lead Matt Jamison spoke about this just last month in a thought article about the transformation that agile is undergoing in the business world. Modern agile methodologies, now more than 3 decades old in American business practice, are starting to see widespread adoption by organizations of every size.
Jamison believes that agile will begin to change as more and more non-software teams embrace iterative project systems. TGG consultants are committed to integrating their consulting experience with industry-tested methods for proper tech strategy and methods.
Included in this commitment is our new service: Agile Methods in Business. We blend our experience in agile environments with quality training and development (like last weekend), all with the goal of helping our clients select the aspects of small-team structure and iterative planning that best fit their situation.
TGG offers these services in the Portland, Bend, Reno, and Sacramento areas. If you could benefit from consulting services in your agile practice, or need help implementing agile best-practices in your team, reach out today to start a conversation!
EMPLOYEE ENGAGEMENT
By Ashleigh Gunter, Managing Partner, and Laura Magrone, Consultant at The Gunter Group.
If you could improve your company’s profits by 21%, reduce attrition by 24% to 59%, and improve your employees’ morale—all without significant cash outflow or investment—would you do it (1)? It is doubtful anyone would answer no to the above question, although that is what many are essentially doing when they don’t make employee engagement a priority in their organization.
Employee engagement extends far beyond simply measuring employee satisfaction; it can be defined as a measure of employee commitment to the organization, which drives company performance and outcomes. It is the act of including all employees in a conversation about what would make your organization better and then including each and every one of them in an action plan to drive changes. This is a proven effective approach for organizations of all sizes.
Business outcomes are directly impacted by employee engagement and are a key driver for implementing an employee engagement program. In an analysis completed by Gallup, a popular vendor for employee engagement surveys, results revealed that groups with higher employee engagement ratings significantly outperformed groups with lower ratings on crucial performance outcomes, including decreased turnover rates (2).
Establishing an Employee Engagement Program
Once you’ve decided to embark on improving employee engagement, you need to first consider how you will measure engagement. There are a wide variety of tools and vendors you can use, ranging from self-administered surveys to integrated platforms with extensive consulting support. If you choose to create your own and use something straightforward like SurveyMonkey, keep your survey simple. We recommend using publically available engagement questions rather than trying to develop new questions on your own. This will save you the time and effort of figuring out how to ask the right questions.
The Gallup organization has spent years developing the science around employee engagement. After millions of surveys, interviews, and significant in-depth analysis, they devised 12 statements as the key drivers of employee engagement. In the book 12: The Elements of Great Managing, Rodd Wagner and James K. Harter, Ph.D. describe these elements in detail. Here they are at a glance:
The 12 elements can be categorized based on four key areas: Basic Needs, Management Support, Teamwork, and Growth. These must be viewed as foundational. Basic Needs must be met before shifting to Management Support. Management Support must be solid before focusing on Teamwork, and so on. When using an engagement survey provided by Gallup, the results include these 12 elements and are helpful in honing focus areas to ensure your employees’ needs are being met.
If you choose to engage with a vendor that provides an engagement survey tool or provides a package of tools and consulting services, make your selections based on the availability of benchmark comparisons, confidentiality, cost-effectiveness, ability to view segmented results (department, tenure, function), and flexibility of question format. Take time to carefully consider these criteria and select something that will work for your organization in the long-term.
After selecting a tool/vendor, you should determine an effective communication strategy to launch the program, ensuring employees know why, how, what, and when the program is happening. Participation is critical. If you only get a small percentage of your organization to respond to the survey, you won’t have meaningful data. Too often, only the employees who are really unhappy or are really happy end up responding, leaving the employer with an inaccurate view of true engagement across the company. It is okay to provide incentives to encourage employees to participate in the survey. It is not okay for managers to tell employees that they have to take the survey. We’ll review more common pitfalls when implementing an employee engagement program below.
Once the results are received back from your employees, it’s time to get to work! Most employers make the mistake of assuming that they should take the results of the survey and ‘fix things’ for their employees. However, what we find is that this leader-led approach doesn’t improve engagement. What actually improves engagement is including all employees in the process of reviewing the results and making a commitment to change one item in each work group and then following through on that commitment. For instance, one of the clients I work with had a team who worked through how to improve vacation coverage for one another. The approach provided a softer re-entry to work and enabled employees to enjoy their vacations more and not stress too much about coming back. This led to increased engagement within the team and was a win for all involved.
While this approach sounds easy, it still requires very clear communication to employees and good engagement meeting facilitation. When employees review engagement results, they often want to focus on what they cannot control. For instance, “If I just got paid more, I would be so much more engaged” or “If I had five more days of vacation each year, things would be so much better.” The leader in the conversation must focus the discussion on what your team can change rather than what the team wishes the leadership would change. Once they can land on a specific thing to change, then the team needs to collectively commit to an improvement plan and determine how best to track and report progress against it. Don’t forget to share your results with others so that successful ideas can be replicated across the organization when appropriate. Sharing results also builds momentum and motivation to continue building on your employee engagement program.
There are some common pitfalls many organizations encounter which can undermine an entire employee engagement program. They are (3):
Lack of trust in confidentiality. Employees will not answer questions honestly if they aren’t confident that their answers will be confidential. Once confidentiality is compromised, it’s very difficult to rebuild trust in a survey. This often occurs when management attempts to determine by process of elimination how employees responded.
Lack of transparency. If scores come back low, an honest conversation is necessary—don’t just gloss over the low scores for fear of adversely affecting morale or to avoid difficult conversations. Focusing on problem areas and developing an action plan to address them will yield the greatest results.
Preferring high scores to honest feedback. Treat low scores as an opportunity for improvement and encourage employees to provide honest feedback without fear of repercussion.
Measuring managers by their scores. This can have a two-fold effect. Managers may pressure their employees to respond favorably in an employee engagement survey leading to skewed results. Alternatively, employees may not answer questions honestly for fear of negatively impacting their manager’s success.
Poor change management. If you don’t explain the survey and provide enough support to ensure managers are able to have honest conversations with their teams about the survey results, the activity becomes more of a ‘check the box’ than an opportunity for understanding and greater engagement. Be sure to take the time to prepare the entire organization for the process—in particular, the management team, who will need to facilitate the conversations with their teams.
Delayed communication. Survey results should be reviewed and an action plan should be developed as soon as possible. If there is substantial lag time between the survey and results, the engagement program becomes distant and possibly even forgotten.
Executive involvement. The most successful employee engagement programs are championed by senior leaders who promote accountability and follow-through. However, executives CANNOT decide that they will respond to the survey to fix everything, ultimately taking control from the employee population for improving the engagement.
In an engaged environment, employees are not only excited to come to work, but are committed to driving toward business goals. They take pride not only in being part of a great team, but in contributing to the success of the business. They are empowered to use their strengths to shine and are energized by doing so. It requires committed leadership and an openness and humility to evaluate yourself and your organization’s growth opportunities. Making employee engagement a priority provides amazing possibilities for improvements both for your employees and your organization as a whole.
References:
1 – https://www.gallup.com/workplace/236366/right-culture-not-employee-satisfaction.aspx
2 – http://news.gallup.com/businessjournal/163130/employee-engagement-drives-growth.aspx
3 – https://www.qualtrics.com/uk/experience-management/employee/engagement/pitfalls-to-avoid/