Recruit and retain target employees with superior intelligence

Finding (and keeping) talent has never been more important. If you do research to understand your customers, you should be doing research to understand a much more important stakeholder — your employees.

What is your employee value proposition?

Using Gradient's market research capabilities, which combines the best-in-class survey development and analytics capabilities, Gradient will help you segment and target the right audience of potential future employees, and develop compelling messaging to make your value proposition as compelling as possible.

Specifically, Gradient will:

  • Develop an in-depth questionnaire that covers target employee preferences. Does your audience want a technical challenge, to become a leader, or a compelling name on their resume? Which perks (e.g. working remotely) are non-negotiable?
  • Develop a segmentation using advanced, latent class approaches. We use techniques that are more robust and statistically-valid than traditional k-means, which is typically noisy and non-robust. This will develop face-valid but insightful segments that you can use for segmentation and targeting decision.
  • Find the factors that give you an edge in targeting and winning the segments that are the best fit for your firm

What is your employee pulse?

Keep track of employee fulfillment and frustration in a principled, test-driven way with Gradient's survey and analytics capabilities. With our employee satisfaction tracking services, we help you:

  • Find the workplace features that are most frustrating to your employees
  • Track them over time and get alerts when any of them spike
  • Connect which factors are most important drivers of satisfaction and retention

Gradient's innovative approach starts with using more advanced survey techniques to elicit drivers of frustration and fulfillment. We use a Max Diff choice-based approach and track latent preferences over time.

We connect latent preferences to KPIs like satisfaction and retention using regression-based approaches.

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