Ensuring employer value proposition aligns with employee experience: A data-driven approach

A compelling Employer Value Proposition (EVP) is critical in attracting and retaining top talent. However, ensuring that the actual employee experience (EX) aligns with the promises made is a challenge that many organizations face.

A recent Gartner survey, for instance, revealed that only around 30% of employees feel that their companies deliver on EVP commitments at hiring. In this article, we discuss how TTS’s best-of-breed global partner in AI-enhanced EX measurement, Welliba, uses a structured approach that integrates diverse sources of employee experience data and a robust model to help companies ensure a more favourable experience for their employees.

Data sources for employee experience

To better understand the gap between EVP and actual EX, companies must first gain an accurate, unbiased insight into how they are perceived. Unlike traditional approaches, which focus primarily only on employee-generated data collected through surveys, Welliba acknowledges that there are multiple sources that can be used. They can be categorized into three primary groups:

  1. External Sources:
  • Job sites (e.g., Glassdoor, Indeed, LinkedIn reviews)
  • Company review platforms
  • News articles on workplace culture and employer reputation
  1. Internal Existing Data:
  • Exit interviews
  • Survey data
  • Workshop-derived reports and internal documentation
  1. Direct Data Collection:
  • Employee engagement surveys
  • Risk assessments
  • EX-focused surveys (e.g., Welliba EX+)

To accurately measure EX, it is critical to not over-rely on subjective employee surveys, but also consider external sources. Such sources are often more accurate, less likely to be swayed by organizational biases, and can be cross-referenced with similar data sets.

The need for an integrated EX model

Collecting data from multiple sources is valuable, but without a framework to synthesize these insights, organizations cannot take meaningful action to improve EX.

A structured model is required to integrate this data, make it practical, and ultimately generate insights that drive tangible improvements in the workplace.

Welliba provides a robust, measurable framework for understanding EX through the Welliba EX Index. This model integrates both self-insight (personal characteristics) and context insight (external workplace and life conditions) to create a comprehensive picture of the employee experience. The components of this model include:

Self-Insight (Personal Characteristics)

  • Feeling Good: Emotional well-being factors such as positivity and composure.
  • Realizing Potential: Growth-oriented aspects like purpose and career development.
  • Personal Resources: Attributes like confidence and social connectedness.

Context Insight (Workplace and Life Conditions)

  • Career opportunities
  • Work content
  • Working conditions
  • Personal life balance
  • Communication effectiveness
  • Team and leadership dynamics

This model is designed to summarize and make sense of data collected from multiple sources and create actionable, clear insights into an organization’s EX landscape.

AI-Enhanced analysis for objective insights

The Welliba model is enhanced by AI, using a glass box approach that ensures transparency and expert scrutiny. Unlike black-box AI solutions that lack interpretability, Welliba’s AI system is trained using extensive content mapping by IO Psychology and wellness experts. This ensures that the AI-generated insights align with best practices and human judgment.

A key advantage of the Welliba solution is its ability to process massive amounts of data from multiple external sources, synthesizing diverse insights into a structured framework.

Unlike traditional reporting methods (e.g. word clouds, multiple, data-heavy tables), which can be overwhelming and impractical, Welliba applies its EX model to distil complex information into clear, actionable insights. This allows organizations to move beyond generic sentiment analysis and take meaningful steps toward improving employee engagement and experience.

Examples: Practical applications of AI-enhanced EX analysis

Arvesta: Unlocking Barriers to Engagement

Arvesta, a global agricultural sector company with over 2,000 employees and a turnover of €2 billion, leveraged Welliba’s AI-driven insights to identify barriers to employee engagement.

Through AI-enhanced EX measurement, Arvesta pinpointed company culture elements that negatively impacted engagement: Insights that traditional engagement surveys failed to highlight. This objective data enabled the company to take targeted action to improve their EX.

Idemia: Competitor Benchmarking and Brand Communication

Idemia, a digital cryptography and security company with over 10,000 employees across 50 countries and €1.5 billion in annual revenue, sought a more sophisticated method to assess EX.

Their previous employee-directed surveys yielded inconsistent results. Welliba’s AI-driven approach provided objective insights into their workplace culture and policies, identifying blockers and enablers of engagement.

Additionally, Welliba analyzed Idemia’s employer brand communication across digital platforms, revealing a gap in how they presented career opportunities to potential employees. This insight led to a strategic shift in employer branding efforts.

The business case for AI-driven EX measurement

One of the key advantages of the Welliba solution is its ease of implementation:

  • Minimal resource burden: Uses readily available external data sources, reducing reliance on internal employee surveys.
  • Cost efficiency: More cost-effective than traditional engagement surveys.
  • Data privacy compliance: Avoids data privacy concerns by analyzing publicly available information, ensuring compliance with GDPR and similar regulations.
  • Actionable insights: Focuses on practical interventions rather than theoretical discussions on EX improvement.
  • Time savings: Eliminates the need for prolonged employee surveys, accelerating decision-making processes.

Final Thoughts

Clients of the Welliba solution have reported several distinct advantages in using more objective measurement tools for EX, including:

  • Simplified EX Understanding: The structured model makes EX insights accessible to both employees and employers.
  • Uncovering Unexpected Insights: By incorporating non-traditional EX data sources, organizations gain novel perspectives that drive real change.
  • Competitive Benchmarking: Companies can compare their EX performance with competitors, improving their standing as employers of choice.

Aligning employer value proposition with actual employee experience is a pressing challenge for organizations today.

Leveraging a holistic, AI-enhanced model like Welliba’s EX Index allows companies to bridge the gap between promises and reality. With its transparent AI approach, objective measurement capabilities, and actionable insights, Welliba provides a powerful tool for organizations seeking to improve EX, enhance engagement, and strengthen their employer brand in a competitive talent market.

If you would like to know more about this exciting EX and employee engagement tool, why not reach out to us at info@tts-talent.com?