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6 Topics Talent Managers Should Have on Their Radar

Trends and predictions in talent assessment
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Talent assessment is witnessing dramatic change. This is brought about by rapid technological developments and shifts in the world of work.

Which themes do we need to look out for? Trends come and go. However, there are six clear priorities, challenges and drivers that we see right now – and we expect these to continue to be on the radar of many talent professionals.

 

Assessment Trends:

  1. The Impact of Workplace Digital Transformation on the Workforce
  2. The Imperative to Attract Strong, Best-Fit Candidates and Provide a Great Candidate Experience
  3. Gamifying Assessment to Enhance the Candidate Experience
  4. The Core Foundation of the Workplace: Diversity and Inclusion
  5. Embedding AI within Talent
  6. The Power of Prediction Strengthens the Role of Assessment

No. 1

The Impact of Workplace Digital Transformation on the Workforce

Digital innovation has forced a revision of talent strategy. A new set of skills and characteristics is needed to be successful in a changing work environment. Digital disruption, the convergence of industries and greater job automation require businesses and their employees to adapt and evolve. Employees need to re-train, upskill or change roles.

How do organizations identify skills that will help them to thrive in the digital world?

There can be no single skill or expertise that guarantees performance success. The focus must be on hiring and developing those who are willing and able to acquire new skills and knowledge - behaviors that will help employees adapt and thrive in an uncertain and ambiguous environment. What ‘good’ looks like today, is likely to be different to what it looks like tomorrow. 

Digital readiness is about learnability, agility and curiosity – these competencies can be measured with assessment. Combining this with a values-fit component and employee engagement, retention can be strengthened.
 

82%

 

of organizations
are undergoing
digital transformation.

33%

 

of organizations
have defined the
digital competencies needed.

70%

 

of organizations
do not know how to identify the required competencies.

Case example: enabling the move to agile working at a global bank

A global bank invested in a development center for its project execution team members. This allowed it to support its understanding of and commitment to a new agile approach to work. The development centers delivered:

  • Clarity on what is needed for agile working.
  • Definition of new roles and support for moving where needed. Everyone received feedback and next steps to be taken.
  • Empowered team members to take control of career progression. Over half moved into a new role.
  • Strong engagement in, and recognition of, the shift in approach to working.
  • Demonstration of the organization’s investment in its employee’s development.
  • Excellent feedback on employee experience.
 

“With Aon’s help, we have helped our staff
transform to an agile way of working.”
Managing Director - Global Technology, Global Investment Bank 

No. 2

The Imperative to Attract Strong, Best-Fit Candidates and Provide a Great Candidate Experience

Strong talent is in high demand and short supply - businesses must vie for attention in the applicant pool. However, the real challenge is in attracting, engaging and hiring the best-fit talent for any specific organization. In doing this, employees align with the values, vision and behaviors of the business. This drives up engagement, productivity and performance. 

Values-fit requires an organization to understand and articulate what uniquely leads to success – and then assess for this during hiring. It provides potential employees with a clear insight into the business and what is expected. This will form the core of a great candidate experience. However, there are other fundamentals we see regularly of an engaging hiring process. 

  • Showcasing organization's role and culture.
  • A set of assessments which are relevant to the role, engaging and simple to complete.
  • Strong, clear and personalized communication.
  • Respect for the applicants’ time.
  • Transparency in how decisions are made.
  • Providing and asking for feedback.


Online assessments have changed – and continue to change – as candidate experience becomes more critical and a stronger differentiator in the hiring market. Gamified assessment; paperless assessment centers; realistic job previews; all have their role to play.

60%

 

of job seekers report a poor experience when applying for work.

72%

 

of job seekers tell friends of poor candidate experiences.

Case example: aligning employer brand with candidate experience at RSM

RSM is Norway’s leading audit and advisory firm for SMEs. The company was strong in attracting clients, but less strong in attracting applicants. Articulating – and then communicating – what makes RSM different attracts more and better-fit applicants. A values and behavior-led hiring process now includes assessments of behavioral characteristics, motivation, values and abilities, together with personalized communication and feedback.

Outcomes

  • An employer of choice - graduates now choose RSM over competitors.
  • Growth in applicant numbers - applications have increased in number and quality.
  • The message that grades are important – but so is passion and motivation - a new dimension is emphasized.
  • A focus on openness and respect – applicants comment on the self-insight they gain.
  • Feedback is offered to all – a key design element of the hiring process and an investment that pays off.
  • Great applicant feedback and an increase in numbers – applications increased sevenfold.
  • Employee engagement soared – the company leapt from 101 to 24 in a Great Place to Work survey.

 

“Applications have increased, as has the number of high-caliber applicants. RSM is attracting great talent.”Øyvind Sæther, Director of People and Organization, RSM 

No. 3

Gamifying Assessment to Enhance the Candidate Experience

Game-based assessment and the gamification of assessment is still a relatively new area of research, development and practice. There has been much debate about the pros and cons of gamified assessment. However, one thing is clear. A robust, gamified assessment can both engage applicants and strengthen the candidate experience.

Our research into candidate reaction to and acceptance of gamified assessments shows that they are growing in acceptance and understanding. Despite this, there is still some confusion in this area. 

Interactive games and game-based assessments have a role in attracting and engaging with potential applicants and promoting employer brand, however, they have a limited part to play in objective assessment for selection. Gamified assessments are fair and robust tests that have science and evidence at their core and have game-based elements included. Only gamified assessments have a role to play in the measurement of abilities for high-stakes recruitment.

Situational judgment tests (SJTs) are a strong predictor of employee performance once in post. Gamifying such measures brings a more engaging and employer differentiating aspect to this pre-hire tool.

Ability tests developed for smartphone use are now short and engaging. They reliably screen out unsuitable applicants. They are not games, they are tests – and applicants recognize them as such – leading to high completion rates, whilst retaining a more contemporary look and feel. Serious tests for serious situations.

Case example: a gamified assessment solution for a Multinational Engineering Company

The company wanted a global, consistent, robust and engaging assessment process. The luxury company needed to be innovative and original, and enhance their brand. Fairness was essential. 

Gamified assessments were the answer. 

They increased application completion rates in the pre-hire assessment stage and proved to have high predictive capability.

  • 50% higher job offer rates to those who scored high on the screening tests.
  • 60% who scored high on the gamified screening tests, performed well in the assessment center.
  • 45% passed the assessment center and received offers.

 

“We were able to engage candidates in a realistic and easy-to-use format. A wonderful user experience with robust assessments and process efficiencies.” European Resourcing Manager, Multinational Engineering Company

No. 4

The Core Foundation of the Workplace: Diversity and Inclusion

Diversity and inclusion remain solidly on talent decision makers' radars. Creating a more diverse and welcoming workforce ensures a blend of perspectives and experience. It makes business sense, although the reason for such an approach goes beyond the business case. 

Valuing fairness and equality during hiring and promotion is the right thing to do. Pursuing fairness should be at the core of every hiring process decision. There are four key actions organizations need to be taking:

  • Attract applicants from a broader talent pool.
  • Ensure equality and fairness during the selection process.
  • Encourage and embrace difference and diversity across the organization.
  • Offer equal opportunities during employment.
 

At the center of this is a fair assessment. Fair assessment focuses on the job's requirements and applicant's attributes. No more and no less. These are tested objectively using tools shown to be free from bias and also using research established to monitor this. 

No. 5

Embedding AI Within Talent

The role of artificial intelligence (AI) in the workplace continues to being talked of – and we expect this to continue. The use of chatbots help in self-service and greater automation of roles impacts employee practice in general. 

A more recent development is the role of AI in helping to make more objective decisions in what have been areas of HR practice that can be more open to subjectivity.

51%

 

of organizations see the biggest potential of AI being in providing better informed decision making.

58%

 

of organizations are most concerned about ensuring fairness when AI is used in hiring.

Criticism often levelled at AI in decision making in general is that it is difficult to understand how the decisions are being made. It is some kind of black box in which a question is fed in, the algorithm is developed and somehow a decision is made, and the black box spits out a result?

How can this be used in an interview session when transparency, openness and defensibility of the decision are needed? 

We have invested significant resources in this area, eliminating a range of inevitable bias that we, as humans, bring to an interview situation. Our video assessment platform asks interviewees to record their answers to client-defined questions. The responses are recorded – but only the words said. We are not looking at visual cues and scoring them, as there is no evidence that the technology is suitably advanced to make this a valid approach. We focus on the spoken words only, using AI to search for the positive and negative indicators, as any interviewer would do in an interview. We have developed a ‘glass box approach’ in which it is very clear how the algorithm is calculated. 

Case example: making interviewing objective at a global travel company

A worldwide travel firm understood the need to update its hiring processes. Interviews were long and in-depth but not linked to the company’s core values. Assessments were used but they had little connection to the business and were used inconsistently. Work samples lacked scoring objectivity. 

It introduced video interviewing and a more valid, objective and evidence-based assessment process to identify the best candidates and optimize recruitment team's and the candidates' time.

“Admittedly, the idea of a video assessment did make me nervous, but actually it was fine. The questions were well worded and gave me plenty of time to prepare my answer before recording it. I could also complete the interview at a time of my choosing.”Applicant to a global travel company

No. 6

The Power of Prediction Strengthens the Role of Assessment 

The surge of talent data analytics has played a fundamental role in checking out the predictive capability of assessments used in talent decisions. This will continue.

Talent teams now have access to a number of datasets from retention rates and performance achievement, to hiring statistics and psychometric test results. However, few have been truly able to convert their big data into smart data. There are three key steps to make this happen.

  1. Review the gathered data and how it is captured, stored and analyzed - also recognize that other data may need to be gathered. 
  2. Ask the right questions of the data. We have seen a growth in requests for support in this area. Talent teams may know that they need to hire better candidates, but they are not yet clear about what makes a ‘good’ candidate. 
  3. Analyze the data correctly. Look beyond the patterns that emerge and ‘sense-check’ whether the deductions made are an accurate result or are misleading. 
 

We have worked on data projects with clients to help them identify and recruit high-performing staff, whilst reinforcing their employer brand. HR and talent teams are looking to utilize and make sense of their data by combining the pre-hire assessment scores of successful candidates with their post-hire performance in the role. 

Regardless of what an organization does, smart data provides insights that benefit the business. The secret is to recognize the potential that data provides and ensure that the right questions are asked and correct conclusions drawn. 

Case example: predicting sales success at Elkjøp

Major electronics retailer, Elkjøp, re-designed its selection process for its 100,000-plus applicants. It aimed to predict who would be the best salespeople, as well as trim the resources needed and speed up the hiring process. 

  • Business impact study correlating Aon assessment scores and real-world sales KPIs enabled a cut-off score to be defined. 
  • Algorithm proved that scoring above the cut-off score predicted higher sales figures. 
  • Achieving a score of 4 on the assessments meant sales 26% higher than average. Those scoring 5 contributed 50% more sales revenue than average. 
  • Being able to predict sales performance will lead to an increase of 18% of sales revenue across all stores (€9.775m) with a sales margin of 23%.  
 

“We will not hire anyone without using the Aon recruitment tool in the future.”Managing Director of four Elkjøp franchises 

 

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