Skip links

Emotional Intelligence in Recruitment

Jump To Section

Importance of EQ in Recruitment “Glass half empty or half full” is a well-known phrase, generally used to exhibit that a situation may be seen in different ways and there may be an opportunity in the situation as well as troubl

Importance of EQ in Recruitment

Emotional intelligence in recruitment “Glass half empty or half full” is a well-known phrase generally used to exhibit that a situation may be seen in different ways and there may be an opportunity in the situation as well as trouble.

Likewise, though this pandemic has come with social distancing restrictions, it has also provided an opportunity to reinvent various outdated methods in almost every walk of life. It has had its effects on recruitment as well. Previously, interview processes were simple: organizations would identify the hiring needs, post the job description, search for talent, and have rounds of interview evaluations against the job skills leading to the final offer of employment. This was the traditional method, but the COVID-19 pandemic has made many organizations reinvent their hiring process and use next-gen technology solutions to hire virtually. Altimetrik has been a pioneer on this path since years before all this happened and hires not only for the job skills but also evaluates various other skills relevant to the digital work culture in emotional intelligence recruitment.

Emotional Intelligence in Recruitment

Emotional Intelligence in the Workplace: The Key to Future Success

One element that has come up into the picture in a big way is evaluating a person’s Emotional Intelligence or EQ.  It is becoming one of the most in-demand ‘soft skills’ in the workplace these days, with most of the repetitive and routine tasks getting automated. According to a recent study, 76% of managers believe that employees should develop skills, such as empathy, persuasion, and teamwork to adapt to roles that deal more with people – customers, colleagues, investors, shareholders, and so on. Whatever be the role, it’s ultimately people dealing with people. 83% of companies say that having staff with higher emotional intelligence will be essential to achieving success in the coming years. Many organizations have begun assessing candidates’ emotional intelligence, particularly in roles where communication, collaboration, and empathy are key to success.

Now as a recruiter, how does one evaluate a candidate’s EQ? A candidate might score high in a coding challenge, but it is not a sufficient indicator to evaluate a person based on their skills and experience to gauge their emotional intelligence?

What does EQ essentially mean: It is the ability to identify and manage one’s own emotions, as well as the emotions of others.
Understanding this can help us in identifying characteristics that emerge from how the candidate responds to work situations such as:
High-pressure environments
Working with diverse team members and group
Working with different levels of seniority
Different working environments e.g., working unsupervised or remotely

To evaluate emotional intelligence in candidates, we can give them hypothetical scenarios to notice:

Levels of self-awareness
Language, both verbal and physical, to see if they are adaptable and open to change
Reactions when explaining or re-explaining a situation
Empathy and emotional conditions to drive outcomes

The emotional intelligence of the candidates can be evaluated during the interview by posing them a few questions such as:

Can you describe a time you were given critical feedback?
Can you describe a time when you had to have a difficult conversation?
Can you describe a time when there was tension or conflict on a team?
Can you describe a time a change was instituted that you didn’t agree with?
Can you describe a time when you had to come up with a creative solution under pressure?
Can you describe a time you made a mistake?

Evaluating Candidates’ Emotional Intelligence in Interviews

The answers provided by the candidates to these questions will help us understand their thought processes and mentality in a working environment.  The interviewers should come up with follow-up questions to understand how they felt during that time.

Incorporating emotional intelligence (EQ) in the interview process will assist in identifying the right characteristics of candidates to fit into the role, culture and give an idea on how likely they will be able to succeed in the long term.

Picture of Sushant Koul

Sushant Koul

Latest Reads


Suggested Reading

Ready to Unlock Your Enterprise's Full Potential?

Vikas Krishan

Chief Digital Business Officer and Head of the EMEA region

Vikas (Vik) Krishan serves as the Chief Digital Business Officer and Head of the EMEA region for Altimetrik. He is responsible for leading and growing the company’s presence across new and existing client relationships within the region.

Vik is a seasoned executive and brings over 25 years of global experience in Financial Services, Digital, Management Consulting, Pre- and Post-deal services and large/ strategic transformational programmes, gained in a variety of senior global leadership roles at firms such as Globant, HCL, Wipro, Logica and EDS and started his career within Investment Banking. He has developed significant cross industry experience across a wide variety of verticals, with a particular focus on working with and advising the C-Suite of Financial Institutions, Private Equity firms and FinTech’s on strategy and growth, operational excellence, performance improvement and digital adoption.

He has served as the engagement lead on multiple global transactions to enable the orchestration of business, technology, and operational change to drive growth and client retention.

Vik, who is based in London, serves as a trustee for the Burma Star Memorial Fund, is a keen photographer and an avid sportsman.

Megan Farrell Herrmanns

Chief Digital Officer, US Central

Megan is a senior business executive with a passion for empowering customers to reach their highest potential. She has depth and breadth of experience working across large enterprise and commercial customers, and across technical and industry domains. With a track record of driving measurable results, she develops trusted relationships with client executives to drive organizational growth, unlock business value, and internalize the use of digital business as a differentiator.

At Altimetrik, Megan is responsible for expanding client relationships and developing new business opportunities in the US Central region. Her focus is on digital business and utilizing her experience to create high growth opportunities for clients. Moreover, she leads the company’s efforts in cultivating and enhancing our partnership with Salesforce, strategically positioning our business to capitalize on new business opportunities.

Prior to Altimetrik, Megan spent 10 years leading Customer Success at Salesforce, helping customers maximize the value of their investments across their technology stack. Prior to Salesforce, Megan spent over 15 years with Accenture, leading large transformational projects for enterprise customers.

Megan earned a Bachelor of Science in Mechanical Engineering from Marquette University. Beyond work, Megan enjoys playing sand volleyball, traveling, watching her kids soccer games, and is actively involved in a philanthropy (Advisory Council for Cradles to Crayons).

Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs.Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify.
Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety.Supplement trial data with real-world insights for drug effectiveness and safety.
Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies.Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies.
Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing.Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing.
Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development.Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development
Remote and Decentralized Trials: Embrace virtual trials for broader patient participation.Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits
Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention.Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention
Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals.Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals
Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment.Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment
Data Standardization and Interoperability: Ensure seamless data exchange among research sites.Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis
Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis.Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process
R&D Investments: Improve the drug or expand indicationsUtilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes