Product design · User Testing · Research
AI solution for B2B Platform
In early 2023, we launched a new AI-driven experience for Phenom users, now utilized by over 400 global customers.
During our Product Innovation Keynote at IAMPHENOM 2023, we announced a new platform-wide generative AI capability: Phenom Experience+ (X+), which boosts HR efficiency by automating tasks for talent stakeholders including candidates, employees, recruiters, managers, HR, and HRIS teams.
PROBLEM STATEMENT
📍BREAKDOWN OF THE PROBLEM
Inefficient Talent Matching
This inefficiency not only resulted in missed hiring opportunities but also negatively impacted the company’s ability to quickly fill critical positions, causing potential delays in project timelines and business operations.
Video Interview Management
The manual review and analysis of video interviews were time-consuming, delaying feedback and decision-making. Additionally, reaching out to candidates post-interview required significant manual effort.
Data Overload
Recruiters faced difficulties in managing and analyzing vast amounts of candidate data, leading to slower decision-making and missed insights.
Manual Processes:
Routine tasks like sorting candidates, scheduling interviews, and tracking communications were labor-intensive, reducing overall productivity.
Productivity
Not every customer has a marketing team. Provides performance insights across teams with next steps. Flags employee flight risks and provides prescriptive guidance. Scales multilingual experiences.
Resources/Skill Gaps
Even within a marketing team, not everyone is a talented content creator. Writes and personalizes emails, SMS, WhatsApp messages, and campaigns to candidates. Interprets notes and creates tasks to be completed.
Creativity
AI gives our users the confidence and feasibility to continually improve their recruitment process. Publishes comprehensive interview feedback in real time for decision makers.
SEO
Not every customer invests in regularly updating content. AI addresses this by automating content updates and streamlining hiring workflows, freeing teams to focus on strategic tasks.
PROCESS
👩💻
While many utilize AI for parsing potential hire replies, a considerable number still don't adopt pre-interview evaluations, making skills scrutiny challenging
💡
AI tools like Eightfold.ai and SeekOut speed up hiring by matching candidates to jobs, though some users find the recommendations need improvement.
⏰
Phenom users discuss AI hiring tools—while matches are quick, recruiters often miss following up with candidates, leading to lost opportunities.
✍️
Users leverage ChatGPT for job descriptions and emails, saving time, though some find the content too generic, requiring manual edits.
Team brainstorming and validating new AI feature ideas.
PROCESS
PROBLEM
Integrating AI into a suite of 10 sub-products was complicated by independent teams, fragmented design systems, and uneven adoption of standards, resulting in inconsistent UX and misalignment across the ecosystem.
Conducting a design audit
Evaluated all sub-products to identify shared patterns, pain points, and key differences.
Creating a Unified Framework
Spearheaded the development of a scalable design system and an AI integration guide to ensure consistency while allowing flexibility for product-specific needs.
Driving team alignment
Organized workshops and cross-functional meetings to align teams on shared design principles and best practices for integrating AI.
Facilitating adoption
Addressed resistance by customizing solutions for each team and demonstrating the value of a unified approach.
Research Design Patterns.
Through these efforts, I bridged the gap between fragmented designs and a unified system, ensuring the successful integration of AI across the ecosystem.
Cohesive User Experience. Improved user experience across all sub-products through consistent design and AI implementation.
Faster Rollouts. Reduced inefficiencies and streamlined development, enabling quicker deployment of AI features.
Enhanced Collaboration. Fostered stronger alignment across teams, making future cross-product initiatives smoother.
👩💻 Quantitative Metrics
Increased recruiter efficiency, leading to a 30% reduction in manual data processing tasks.
💡 User Engagement Statistics
Achieved a 40% increase in candidate engagement through AI-driven communication tools.
⏰ User Engagement Statistics
Improved user satisfaction scores by 15% following the introduction of the AI interview assistant.
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