Upland RO Innovation automatically serves up the best customer references to elevate brand awareness and win more deals.
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Infor Talent Science
Score8.7 out of 10
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Infor Talent Science is a cloud-based talent intelligence platform that uses Predictive Talent Analytics and pre-employment testing to find the right employees.
The solution leverages large quantities of behavioral and performance data to help organizations build diverse teams and personalized career pathing strategies.
Customized insights from predictive behavioral assessment models help businesses select, retain, and develop the right talent across the entire employee life cycle.
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Pricing
RO Innovation
Infor Talent Science
Editions & Modules
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Offerings
Pricing Offerings
RO Innovation
Infor Talent Science
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Features
RO Innovation
Infor Talent Science
Talent Intelligence
Comparison of Talent Intelligence features of RO Innovation and Infor Talent Science
BL is great is you're going from a manual process to something more sophisticated. I'm not sure what the competitive landscape looks like with regards to Reference Software nowadays, but when we were evaluating a few years ago, BL was ahead of all other vendors in terms of functionality and integrations with SFDC
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I would recommend Infor Talent Science to other colleagues, particularly those working in structured hiring environments. The platform is great at using behavioral science to improve hiring quality and predict potential outcomes. It has become a valuable tool for our business to help align candidates with roles based on proven success rather than just the interviewers intuition alone.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The system provides more visibility into available references and prevents references from being over-used. It allows the client (reference) to choose how often they can be contacted in a given time period and provides a closed-loop feedback mechanism to make sure the client is providing positive responses.
Allows account executives (sales people) to easily request references based on: product Used, customer vertical, location, account size, expertise, etc.
Uses a “Five Star” method to show how relevant the answers are when a results are returned from a search.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The platform is well-designed for recruiting and provides detail and actionable insights, but there is a learning curve that prevents it from being completely intuitive out of the gate. From a recruiter’s perspective, the core functionality is strong and reliable. Candidate scorecards, behavioral insights, and interview guides are easy to access once you’re familiar with the system, and the data is presented in a way that supports informed decision-making rather than overwhelming users. The reason for the slightly lower score is that navigation and setup can take time to fully understand, particularly for new users or hiring managers who don’t use the system daily. Some workflows require multiple steps, and certain reports or features are not immediately obvious without training or prior experience.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The process of asking each reference how often they’d be willing to be contacted was the biggest task. We made assumptions for current clients, and ask each new client once they become a customer. Along with which specific skill-set they’d be willing to be a reference
While I was one of the decision makers in this process, I didn't sit on the demos for the other providers (I was brought in further in the sales process). My understanding from my team was that BL was much more configurable and support more robust integrations that the competitors
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I have used and evaluated several other talent assessment and hiring platforms, including tools focused on behavioral assessments, personality testing, and skills-based screening. These include solutions similar to Predictive Index–style assessments, generic personality assessments, and ATS-embedded screening tools that offer lighter evaluation capabilities. Compared to many of these options, Infor Talent Science stands out for its depth of behavioral science and predictive accuracy. While some platforms provide surface-level personality insights or one-size-fits-all assessments, Infor Talent Science benchmarks candidates against actual top performers within the organization, which makes the insights far more relevant and actionable.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info