Key takeaways
- Predictive Index hiring assessments help reduce bias by measuring candidates against objective job-fit criteria.
- Defining success before evaluating candidates creates a consistent benchmark that reduces bias, improves role alignment and increases the likelihood of long-term employee success.
- Subjective hiring practices can lead to poor job fit, higher turnover and missed opportunities, while data-driven talent assessments help organizations identify candidates who are better equipped to succeed, contribute and grow within the role.
Hiring decisions are critical to performance. The right employee can strengthen team dynamics and help drive productivity. The wrong hire increases turnover and can lead to lost time and unnecessary costs.
Yet many organizations are still making subjective decisions about talent, basing hiring decisions on subjective factors or relying solely on resumes and interviews to form a complete picture of a candidate.
Predictive Index (PI) hiring assessments help employers make more objective hiring decisions by moving beyond assumptions and gut feelings to data-driven insights into overall job alignment.
Why objective hiring decisions matter
Unintended bias can easily be present in any organization’s hiring practices. The way someone crafts a job posting, the weight someone gives to certain elements of a resume such as education — these factors can influence who gets an interview and who doesn’t, and who gets hired and who doesn’t.
But do they actually help organizations obtain the right candidate for the position?
The reality is that many hiring decisions are influenced by subjective judgments rather than clearly defined job requirements. Hiring managers naturally gravitate toward candidates who share similar backgrounds, communication styles or experiences. These decisions may feel instinctive; however, they don’t always predict whether someone will succeed in a role.
Objective hiring practices help organizations reduce bias in hiring by shifting the focus from personal preferences to measurable indicators of job fit. They help define consistent, data-informed criteria so that employers are making decisions grounded in the needs of the role and the capabilities of the candidate, rather than assumptions.
The hidden costs of subjective hiring decisions
Subjective hiring decisions often result in hiring bias that develops less diverse teams and candidates who don’t accurately measure job fit, leading to increased turnover and lower productivity as employees struggle to succeed in their roles.
The costs of that misalignment can increase quickly, from the additional expenses of replacing an employee to the lost productivity.
Why resumes and interviews don’t tell the whole story
While resumes and interviews are a critical part of the hiring process, selecting candidates to move forward based on education and experience can exclude viable candidates.
Certain minority groups haven’t historically had high levels of access to education and job experience compared to other candidates (e.g., women compared to men, people of color compared to white individuals, disabled individuals compared to abled individuals). Despite this lower access to education and experience, statistics show that diverse candidates increase innovation — and innovation-related revenues — in an organization. And the evolution brought about by innovation is necessary to surpass the competition, gain market share and meet the future needs of customers.
Just as importantly, traditional hiring tools often fail to reveal how a person prefers to work, communicate and solve problems. A resume can highlight accomplishments and an interview can offer valuable insights, but neither provides a complete picture of how a candidate’s natural behaviors align with the demands of a specific role.
That’s where an objective Predictive Index talent assessment can help.
How Predictive Index hiring assessments work
So, how do Predictive Index hiring assessments drive more objective hiring decisions? By helping eliminate unintentional bias in the candidate selection and hiring process.
PI helps employers craft job descriptions and choose candidates based on behavioral drives and needs, and whether those drives and needs align with the position.
Under PI, the requirements for a job are determined by key stakeholders who know the position inside and out. This could be someone at your organization who has been in the position you’re looking to fill, who has managed the role or who has worked with people in the role.
Rather than relying on assumptions about what makes someone successful, PI helps organizations clearly define what success looks like before evaluating candidates.
Here are three considerations for your hiring assessment that can help drive an objective hiring process:
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Define success for the role
Stakeholders start by creating a job target assessment, which helps break down and lay out the needs of the position. For example, the assessment might find that the position requires being able to meet scheduled deadlines, being calm and patient, working independently and being able to work in a neat, organized and detail-oriented manner.
Establishing these expectations upfront creates a consistent benchmark that every candidate can be measured against throughout an unbiased hiring process.
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Measure behavioral drives and workplace needs
Once you’ve established what the role requires, job candidates take the Predictive Index behavioral assessment. Based on their results, you can determine whether they are a good match based on their behavioral fit to the position. For example, you can identify if someone who prefers working with teams and is more big-picture-oriented than detail-oriented may not be a good fit for the position.
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Evaluate cognitive fit
In addition to the behavioral assessment, Predictive Index also offers a cognitive assessment that measures a candidate’s capacity to learn, adapt and solve problems. Rather than evaluating knowledge or experience, the assessment focuses on learning agility and the ability to process new information.
Different positions require different levels of cognitive complexity. Some roles demand quick decision-making in rapidly changing environments, while others require the ability to analyze large amounts of information or learn complex systems. Understanding these requirements can help employers identify candidates who are more likely to succeed in the role and grow with the organization over time.
Why Wipfli
Hiring the right people is only the beginning. Wipfli helps you use Predictive Index to gain deeper insights into how candidate fit, team dynamics and employee development are supporting your success. Explore our Predictive Index services to see how data-driven talent insights can help you optimize your workforce.