What do you like best about Infor Talent Science?
What stands out most about Infor Talent Science is how it blends data science with practical HR decision-making in a way that’s actually usable day-to-day, not just theoretical.
At its core, it uses predictive analytics to help organizations make better hiring and talent decisions. Instead of relying only on resumes or gut instinct, it builds success profiles based on top performers and then matches candidates against those profiles. That leads to more objective, consistent hiring.
Another strong point is how it supports the full employee lifecycle, not just recruitment. It can be used for internal mobility, leadership development, and identifying high-potential employees, which makes it valuable beyond just talent acquisition.
It’s also designed to reduce bias by focusing on behavioral and cognitive data rather than subjective factors. For HR teams, that’s a big step toward more fair and defensible hiring practices.
From a practical standpoint, it integrates well with broader HRIS ecosystems (like Workday or SAP SuccessFactors), which makes adoption easier without disrupting existing workflows.
If you’re answering this for an application or interview, you might want to tailor it slightly. For example, a concise version:
“I like how Infor Talent Science combines predictive analytics with real HR challenges, especially its ability to build data-driven success profiles and improve hiring quality while reducing bias. It’s not just a hiring tool; it supports long-term talent development and integrates well with existing HR systems, which makes it highly practical for modern HR teams.”
If you want, I can customize this answer specifically for a job application so it sounds more personal and aligned with your experience. Review collected by and hosted on G2.com.
What do you dislike about Infor Talent Science?
1. Over-reliance on assessments (can feel rigid)
One of the biggest concerns is that the platform is heavily assessment-driven. It can feel “too data-focused,” leaving less room for human judgment, context, or nuanced candidate evaluation.
2. Candidate experience can suffer
The assessments can be long and complex, which sometimes leads to candidate drop-off during the hiring process. This is a real issue for talent acquisition teams trying to keep candidates engaged.
3. Complexity and data overload
While the analytics are powerful, some users find the volume of data and reports overwhelming. Hiring managers may struggle to interpret insights effectively or may oversimplify decisions by focusing only on scores.
4. Not ideal for all organizations
It tends to work best for larger companies with high-volume hiring. Smaller organizations or roles with low hiring volume may not get enough value or accurate predictive models.
5. Implementation and setup can take time
Because it builds customized success profiles, implementation isn’t instant, it can take weeks to fully roll out, which may be a drawback for fast-moving teams.
6. User experience could be more intuitive
Some users mention that the interface isn’t always smooth or user-friendly, which can slow adoption. Review collected by and hosted on G2.com.