EVA.ai 8.0 Feature Release Notes
LONDON, Dec 2024 –EVA aims to redefine what it means to be an HR professional in a tech-driven world. Our new feature release EVA 8.0 enhances HRs experience to harness the full potential of AI, as a trusted ally—putting them on par with tech-savvy professionals leading transformation.
With EVA.ai, HR teams gain the power to make precise, data-backed decisions at unparalleled speed. From dynamic skill management to intelligent candidate evaluation, EVA equips HRs with tools that streamline complexity, enhance accuracy, and ensure they stay ahead in shaping organisational success.
- Talent Upskilling
Managing skills taxonomy on EVA has long been a cornerstone feature, allowing organisations to maintain precision in hiring and workforce development. By aligning talent profiles and job requirements with organisation-specific skill definitions, EVA has streamlined recruitment and internal mobility strategies for countless clients.
What’s New in EVA 8.0?
The Skill Taxonomy Widget now goes beyond passive organisation—introducing proactive upskilling automation integrated directly into the EVA Bot chat interface. With this enhancement:
- EVA Bot can now periodically engage talent to update their skills and proficiencies, ensuring your records are always current.
- Candidates can self-select required or optional skills during their interaction with EVA Bot, based on your standardized taxonomy.
- EVA Bot spearheads re-engagement campaigns, asking candidates to confirm competency levels or share new skill updates.
These updates happen seamlessly, keeping candidate records evergreen and offering recruiters instant access to updated information.
Why It Matters? The rapid evolution of industries demands that organisations stay ahead of skill trends. This feature is invaluable during:
- Organisational restructuring.
- Expanding into new markets or adopting new technologies.
- Adjusting to the skill economy’s shifts, such as new certifications or technology proficiencies.
For roles requiring skill-specific compliance, these updates ensure that your talent pool meets the mark without requiring re-assessments or repetitive processes.
2. EVA Smart Match: Now powered by RAG Technology (Retrieval-Augmented Generation)
EVA’s Smart Match feature is setting new standards in AI-powered talent matching. At its core are advanced technologies: semantic, elastic, supervised machine learning (ML), and now Retrieval-Augmented Generation (RAG). This innovative combination enhances the relevance and precision of matches, ensuring unparalleled accuracy.
With RAG, EVA AI transcends basic keyword matching by leveraging a dynamic internal knowledge base. This approach enables contextually informed matches, driven by precision and deep expertise.
Practical Example: Consider an organisation seeking candidates with a Computer Science degree or Software Engineering experience. Using EVA Smart Match, the AI not only understands the exact definitions but also recognizes synonymous terms and related concepts:
- Computer Science:
- Definition: The study of algorithms, computational systems, and their theoretical and practical applications.
- Synonyms: Computing, Informatics, Computational Science, Programming Theory, Algorithmics.
- Software Engineering:
- Definition: A structured approach to designing, developing, testing, and maintaining reliable, scalable software systems.
- Synonyms: Software Development, Application Engineering, Systems Design, Software Architecture.
Granular Filtering for Precision
EVA enables highly targeted results by incorporating additional parameters into queries. For example:
Query: “Find candidates with a master’s degree in computer science from WHED-listed institutions in Central America and 5 years of software engineering experience.”
With EVA Smart Match, the AI:
- Understands the definition of Computer Science.
- Recognizes countries in Central America.
- Refers to WHED (World Higher Education Database) to verify institutions.
This level of contextual intelligence ensures that EVA delivers precise, qualified matches tailored to your organization’s unique requirements. EVA Smart Match with RAG technology transforms talent acquisition with relevance, accuracy, and expertise.
3. Do-it-Yourself Job Details for every type of recruitment process
Client admins and recruiters can now take full control of the design and data displayed to Talent when they visit public job posting pages.
This upgrade transforms EVA into a true recruitment canvas, empowering HR teams to design job postings that align perfectly with their organizational branding and hiring goals.
Create, Customise, and Align:
- Seamless Branding: HR admins can design public job postings that reflect their organisation’s brand and recruitment objectives using the Job Template feature in EVA utils. The templates support HTML-enabled customisation, enabling visually rich and interactive job pages.
- Flexibility for Unique Needs: Add custom fields to accommodate specific recruitment requirements while ensuring clarity and uniformity across all postings.
- Relevant and engaging Job pages: Update job details such as extending application deadlines or adding new perks.
- Consistent Design: A single, general template applies across all public job pages, ensuring uniform formatting and a professional appearance.
Pro Tip: Use the Job Template tool to streamline your design process and maintain a cohesive look across all postings, making a strong, lasting impression on potential candidates.
With DIY Job Details Design, EVA makes recruitment not just efficient but truly customisable, giving organizations the power to reflect their identity in every job post.
4. AI-powered Candidate Analysis with Candidate Cards
HR professionals need tools that not only organise but also prioritise candidate data for swift and effective decision-making. EVA’s laser-focused, unbiased candidate analysis within Candidate Cards is a game-changer in talent evaluation, designed to deliver insights with unparalleled clarity and fairness.
What Makes Candidate Cards Revolutionary?
- Prioritised Insights: In a single, adaptable view, Candidate Cards centralize critical information, enabling recruiters to quickly assess a candidate’s suitability. Skills, certifications, experience, and availability are displayed in a concise yet detailed format, saving time spent toggling between documents and profiles.
- Role-Specific Precision: Each card is tailored to the specific requirements of a role. The AI automatically prioritises data points most relevant to the job, such as industry-specific skills or certifications, ensuring recruiters focus only on what matters for the position.
- Fit Categorisation: EVA’s AI evaluates candidates dynamically, categorizing them as “Excellent Fit,” “Good Fit,” “Acceptable Fit,” or “Not a Good Fit.” This classification isn’t just convenient—it’s powered by robust algorithms that assess qualifications against predefined metrics, ensuring reliable and consistent results.
- Unbiased, Data-Driven Evaluations: Traditional hiring processes often suffer from unconscious bias or inconsistent evaluation criteria. Candidate Cards standardise the process by applying the same metrics across all candidates. This approach eliminates favouritism, ensuring hiring decisions are fair, data-backed, and aligned with organisational goals.
- Detailed Insights for Strategic Hiring: Each card delivers a rich breakdown of qualifications, including:
- Skills Fit: A comprehensive view of core competencies and proficiencies.
- Achievements at a Glance: Highlighting significant accomplishments, certifications, or projects that make a candidate stand out.
- Experience Fit: Evaluating years and relevance of experience to the role.
- Availability Alignment: Instant checks for timeline suitability.
- Enhanced Decision-Making Tools: By providing clear, actionable insights, Candidate Cards empower recruiters to make faster, more informed hiring decisions. With automation minimizing manual reviews, HR teams can focus their energy on strategic tasks rather than repetitive screening.
- Promoting Objectivity and Reducing Bias: The structured, consistent evaluation process embedded in Candidate Cards ensures fairness. By presenting every candidate through the same standardized lens, EVA levels the playing field, making diversity and inclusivity a natural outcome of the hiring process.
What’s Next in EVA Version 8.1
In research & development for our next release in Q1’25, our platform will feature Custom-Skill Inference! EVA can be configured to automatically pre-fill suggested skills (from your own custom skill taxonomy) by analysing talent resumes and conversations.
Additionally, EVA can be trained to predict skill proficiencies based on years of experience. We invite you to pilot this upcoming innovation, which promises to redefine skill management by making it both predictive and proactive.
