Consideration factors when choosing HR technology
In a fiercely competitive market, choosing the right HR technology
This week, we'll explore the key factors to consider when selecting HR technology, ensuring you make an informed decision that aligns with your organization's goals and improves your HR processes.
If you want more on the latest HR technology, don't miss our earlier discussion with Teamtailor . Watch now: [LINK]
Assessing your organization's needs and goals
Before diving into the world of HRTech, it's essential to have a clear understanding of your organization's specific requirements and objectives. Patrick Sayers , president of Newcastle Research, emphasizes the importance of this step: "Often, HR professionals start a vendor search with a game plan in mind, but once they see all the bells and whistles included in a few demos, they fall in love with one vendor or another."
To avoid getting sidetracked by flashy features in the beginning stages, consider the following:
By clearly defining your needs and goals, you'll be better equipped to evaluate potential solutions
Recommended reading: Best hiring platforms: The ultimate guide
Choosing between all-in-one and best-of-breed solutions
One of the most important decisions in selecting HR technology is whether to opt for an all-encompassing suite or a combination of specialized best-of-breed integrations, according to SHRM . Both approaches have their values, and the right choice depends on your organization's needs.
All-in-one suites:
Best-of-Breed Solutions:
Additionally, consider the vendor's roadmap for future developments. Are they investing in emerging technologies like virtual reality for interviews or augmented reality for onboarding? Understanding a vendor's vision
When considering skills management technology specifically, it's crucial to evaluate whether the solution can effectively house and continuously update your organization's skills inventory. The platform should reflect all skills-related changes, including employees joining, leaving, acquiring new skills, or getting promoted.
Recommended reading: The best skills management platform choices in 2024
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Evaluating implementation and customer support
The success of your HR technology investment heavily depends on smooth implementation and ongoing support
When working with a vendor, request a detailed implementation plan to understand the division of responsibilities between your team and the vendor. Additionally, ask about project management, data migration, and change management support to ensure a successful transition.
When reaching out to the vendor's customer support, request to meet the person or team who would be overseeing your account. Then, you can inquire about the availability and responsiveness of support channels which will be particularly helpful during the implementation process. These questions will help ensure that you receive adequate support and attention throughout your engagement with the vendor.
As Sayers points out, "Customer service is typically the top reason why employers switch vendors." Don't underestimate the importance of robust, reliable support in ensuring the long-term success of your HR technology investment.
If you want more on the latest HR technology, don't miss our earlier discussion with Teamtailor. Watch now: [LINK]
Considering AI and future-ready features
The integration of AI and predictive analytics in skills management represents a significant shift towards more data-driven, proactive, and personalized workforce development strategies. By leveraging these technologies, organizations can ensure that their employees are not just well-equipped for their current roles but are also being prepared for the future demands of the workplace.
Key AI-driven capabilities to look for include automated candidate screening and matching, which can significantly streamline the recruitment process by efficiently identifying the most suitable candidates from large applicant pools.?
Predictive analytics for hiring outcomes and employee retention is another crucial feature, allowing organizations to make data-driven decisions about talent acquisition and management. These analytics can help predict which candidates are likely to succeed in specific roles and identify factors that contribute to employee turnover, enabling proactive retention strategies.
Advanced AI algorithms can analyze an employee's current skill set, performance data, learning style, and career aspirations to create personalized learning paths. This personalized approach ensures that employees engage in relevant, effective learning experiences aligned with both their personal growth objectives and organizational needs.?
AI-powered platforms can continuously adapt these learning recommendations based on an employee's progress and changing organizational requirements, fostering a culture of continuous learning and development.
Deep dive: Consideration factors for choosing a skills management solution
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Want to learn more about how to choose a skills management solution? The introduction of skills management software goes far beyond solution implementation. Transitioning from a role-based to a skills-based work model is a big change management project, so multiple factors need to be considered to maximize effectiveness.
Download Consideration factors for choosing a skills management solution to learn:
Written by: Alexandra Paasch