AI Job Matching Tools

Just out in Harvard Business Review, summary of the Hybrid Experiment results and lessons on how to make hybrid succeed. Experiment: randomize 1600 graduate employees in marketing, finance, accounting and engineering at Trip.com into 5-days a week in office, or 3-days a week in office and 2-days a week WFH. Analyzed 2 years of data. Two key results A) Hybrid and fully-in-office showed no differences in productivity, performance review grade, promotion, learning or innovation. B) Hybrid had a higher satisfaction rate, and 35% lower attrition. Quit-rate reductions were largest for female employees. Four managerial lessons 1) Hybrid needs a strong performance management system so managers don’t need to hover over employees at their desks to check their progress. Trip.com had an extensive performance review process every six months. 2) Coordinate in-office days at the team or company level. Schedule clarity prevents the frustration of coming to an empty office only to participate in Zoom calls. Trip.com coordinated WFH on Wednesday and Friday. 3) Having leadership buy-in is critical (as with most management practices). Trip.com’s CEO and C-suite all support the hybrid policy. 4) A/B test new policies (as well as products) if possible. Often new policies turn out to be unexpectedly profitable. Trip.com made millions of dollars more profits from hybrid by cutting expensive turnover.

One of the single most important issues in coming years is job transitions. This fascinating research examines not just job adjacency and required skill development for transition, but also bridging, directionality in job migration, and more. Insights include: 📊 The Power of Real-Time Skills Data. Analyzing real-time job posting data provides much more current and granular insights into labor market dynamics compared to traditional occupational classifications and surveys. This is especially valauble during rapid shifts like COVID-19. 🎯 Skills Space Method's High Accuracy. The "Skills Space" method for measuring similarity between skill sets, shown in the diagram, achieved 76% accuracy in predicting actual job transitions. This is impressive for such a complex prediction task and suggests the method captures something fundamental about how people actually move between jobs. 🔄 The Asymmetry of Career Paths. Job transitions are fundamentally asymmetric - it's often much easier to move in one direction between jobs than the other. For example, it may be relatively easy for a Finance Manager to become an Accounting Clerk, but much harder for an Accounting Clerk to become a Finance Manager. 🌉 The "Bridge" Nature of Transferable Skills. Generalist skills act as "bridges" between specialist skill clusters. This provides important insights for career planning - developing transferable skills makes it easier to move between different specialized domains. 🎓 Pathways to Specialized Roles. The analysis reveals clear skill-based pathways into specialized domains, showing how workers can strategically develop skills to transition into complex roles. For example, a Sheetmetal Trades Worker's skillset shows high similarity to an Industrial Designer role, offering a pathway from a high-automation-risk job to a low-automation-risk specialized position. 🆘 Crisis Response Through Skills Matching. The model helps workers displaced by crises like COVID-19 find new roles by identifying transitions that leverage their existing skills, target growing rather than declining occupations, and focus skill development on high-value gaps. This is valuable research. We need much more in this vein, and for this to be applied at all levels of the economy from national and international policy down do individual education.

This article in MIT Sloan Management Review on hybrid work by Nick Bloom, Prithwiraj Choudhury, and Brian Elliott confirms what we've been documenting for years: This isn't a location problem. It's a leadership capability gap. While too many executives still debate office attendance, their more forward-thinking, innovative competitors build the leadership AND operational capabilities that a high-performance flexible work model--not just "hybrid"--requires. The research and case studies that the article cites get critical points right: ✅ "To date, no peer-reviewed research shows a benefit to a rigid five-day office model." ✅ Synchrony's CEO focusing on measurable results over presence. ✅ Atlassian's teams creating working agreements. ✅ The reality that only 25% of managers of distributed teams get leadership training (and we wonder why they are reporting historically low levels of engagement and burnout!) But this alone doesn't close the capability gap. What I'm seeing in our work with organizations: 👉 Teams need more than permission to create norms. They need facilitation frameworks for making planning and coordination decisions within the context of broader organizational parameters that all levels of leadership have aligned behind. 👉 Managers need consistent protocols, tools and training to guide the conversations about how, when, and where their specific work gets done—not just implement generic policies. This includes defining: → How does work get prioritized and coordinated for your business? → When do teams need to be together in person, and not in person, to achieve specific outcomes? → In what spaces and places (in person and virtual) does different work happen most effectively given your constraints? The article does mention the importance of space redesign and technology but a high-performance flexible work model integrates technology capabilities, and workspace design into the defined parameters as one coordinated way of operating across places, spaces and time. This requires moving: ✅ From debating location to starting with the work and defining how, when and where that work happens best, and ✅ From treating flexibility as policy compliance to building it as strategic capability. The evidence is clear. The business case is proven. Organizations that build these operational and leadership capabilities have a competitive advantage and will outperform those still debating badge swipes. What's the biggest capability gap you're addressing to help your organization achieve high levels of sustainable performance working flexibly? #FutureOfWork #FlexibleWork #RTO #HybridWork #Leadership #WorkplaceStrategy #HighPerformanceFlexibility #ReimagineWork

If AI is part of the job, it should be part of the assessment! That’s the real signal in McKinsey’s latest hiring pilot: candidates are expected to use AI, and are assessed on how they work with it: how they prompt, challenge, adapt, and apply judgment to AI output. This is where the line between AI-readiness and AI-fluency becomes real. Experimenting with AI isn’t enough anymore. Hiring now means testing whether people can use AI critically, contextually, and responsibly...not just generate answers. The companies that win won’t just add AI to the workflow. They’ll hire for AI-fluency across roles and seniority, and back it with skills-based assessment that reflects how work actually gets done.

I was recently brought in to help a company fill a senior leadership position. The client had their eye on a highly impressive candidate—an executive with years of experience leading teams in major corporations. But as we dove deeper into the conversation, it became clear that the candidate’s polished resume was just the surface. We decided to take a different approach—using behavioral interviewing to explore how this candidate truly operated in leadership scenarios. Instead of focusing on "What have you achieved?" we asked, "Tell me about a time you faced a crisis, and how did you lead your team through it?" What followed was eye-opening. The candidate shared a story of how they navigated a massive company-wide disruption, not just by implementing strategy, but by engaging with every level of the team, being transparent, and ensuring collaboration across departments. This wasn’t something you could find on their resume. It was the true essence of leadership, and it was the kind of insight I now always prioritize when consulting for executive roles. Why Behavioral Event Interviewing Are a Game-Changer in Executive Consulting: 1. Beyond the Resume: We’re not hiring for what someone has done; we’re hiring for how they do it. 2. Real Leadership Qualities: Behavioral interviews highlight traits like resilience, empathy, problem-solving, and decision making which are vital in top executives. 3. Authentic Responses: By asking about specific past experiences, we avoid generic, rehearsed answers that don’t truly reflect a candidate’s leadership abilities. 4. Cultural Fit: The way a candidate responds to pressure, failure, or success shows if they align with your organization’s values and culture. 5. Predicting Future Success: Past behavior is often the best predictor of how someone will perform in similar situations in the future. As I continue consulting for top-tier executives, behavioral interviews have become my key strategy for assessing true leadership potential. It’s not just about the position they held or the titles they’ve earned—it’s about how they lead when no one’s watching. Have you ever relied on behavioral event interviews for executive hiring? What was your experience? Let’s discuss this in the comments! #ExecutiveHiring #LeadershipInsights #BehavioralInterviewing #HiringStrategies #LeadershipDevelopment #TalentAcquisition #ExecutiveConsulting #LeadershipQualities #CulturalFit

If your résumé was read by a robot… would you still get the interview? Let’s be real: In 2025, robots (ATS) read your résumé before humans ever do. And they don’t care how pretty it looks, they care if it’s optimized. If you think ATS na scam, statistics from Jobscan says → 97% of Fortune 500 companies use an Applicant Tracking System (ATS) to screen candidates. And here’s what’s scary: → You're not being rejected because you're not qualified. → You're being rejected because your résumé isn't robot-friendly. So how do you beat the bots and impress recruiters? Let’s get into it: → Tailor every résumé to the job. No more copy-paste. Use exact keywords from the job description. If the job says “project coordination,” your résumé should say it too. → Ditch the fancy formatting. ❌No tables. ❌No icons. ❌No columns. ATS reads like a machine, because it is. Stick to plain text, bullet points, and clear headings. → Quantify your impact. Don’t say: “Supported the marketing team.” Say: “Increased email open rates by 20% in Q2.” → Relevance > Length. Entry-level? One page is fine. But don’t force it. If your experience is valuable, let it show — just keep it focused. → Use ChatGPT (wisely). Let AI help you refine your résumé, not fabricate it. And check ATS-friendliness with tools like Jobscan or Resumeworded (I'm not just saying) → Save as a .docx or PDF (only if ATS allows). Some older systems can’t parse PDFs. If you're unsure, go with .docx. → Don’t forget the human. Once you pass the robot, the human reads next. Make sure your résumé sounds like a real person with real results. You’re not underqualified. You’re under-optimized. Fix that, and the game changes. *********** → Been applying with no response? → Think your résumé might be the problem? Drop it in the comments (or DM me). Let’s make sure you’re not being filtered out by a machine before your greatness even gets a chance. Reposting this for someone in your network may be the best part of today for them.

The ATS rejects 75% of resumes, and this is why you are not getting any interviews. Here’s what really happens when you hit Apply: → Your resume enters a database. → The system scans it for keywords, titles, and skills mentioned in the job post. → A recruiter logs in and searches for candidates using the same keywords. → The system shows the best matches on top. So it’s not rejecting you, it’s just not showing you. If your resume doesn’t surface in the top results, it’s like being on page 6 of a Google search. You exist, but no one’s seeing you. The goal isn’t to “beat” the ATS. It’s to make your resume easier for it to understand and rank. Here’s how you crack the ATS: → Use a simple format No columns, icons, graphics, or tables. The ATS reads left to right, top to bottom. → Mirror the job description If it says “Project Manager,” don’t write “Program Lead.” Use the same terms recruiters are searching for. → Include relevant keywords naturally Mention tools, certifications, and technical skills, but tie them to specific outcomes. The system reads context, not just keyword stuffing. → Save in the right format Always submit as a PDF (unless the posting says otherwise) → Don’t over-design A clean resume is machine-readable and recruiter-friendly. Most resumes never fail because of experience; they fail because of visibility. The ATS isn’t your enemy. It’s just the gatekeeper. And your job is to make sure it can read and understand your story clearly. P.S. If you’re qualified but not getting interviews, your resume might be invisible to recruiters. Book a 1:1 resume review through the link in the comments. I’ll show you how to make your resume visible, readable, and searchable so you can land your interviews for $100k+ roles.

When we talk about biases in recruiting, it's often brought up in the context of Diversity efforts... But understanding where human decision making can be faulty should just be part of creating sound hiring decisions. Some common cognitive biases that I see influence recruiting decisions ALL the time: 1. Halo Effect: Halo effect occurs when an interviewer's overall impression of a candidate is disproportionately influenced by one positive trait, leading them to overlook other, potentially critical, aspects of the candidate's profile. Example: A candidate with excellent verbal skills might leave such a strong impression that interviewers overlook gaps in technical knowledge or expertise necessary for the job. 2. Priming: Priming involves being influenced by prior information. In recruitment, it can happen when an interviewer's expectations are subtly influenced by information seen or heard before the interview. Can also lead to Anchoring. Example: An interviewer overhears that a candidate has been strongly recommended by a trusted colleague. 3. Confirmation Bias: The tendency to search for, interpret, favor, and recall information in a way that confirms one's preconceptions or hypotheses, often ignoring contradictory evidence. Example: If you believe that X companies have solid Engineers, might pay more attention to evidence that supports this belief and ignore evidence to the contrary. 4. Sunk Cost Fallacy: The more resources (time, money, effort) one invests in a decision, the harder it becomes to abandon it, even if it's not the best course of action. Example: A hiring team might continue investing time in a candidate they've spent weeks courting, despite emerging evidence that the candidate may not be a good fit, simply because they've already invested so much in the process. 5. Contrast Effect: The enhancement or diminishment of a weight or other measurement when compared with a recently observed contrasting object. Example: If a particularly weak candidate is interviewed before a slightly above-average candidate, the latter may appear more competent than if assessed independently, simply due to the contrast. These are just a few of many that may come up in interviewing. Completely eliminating them is impossible so instead, I suggest trying to spread awareness to interviewers, hiring manager and recruiters during training. Just knowing that these are in play can trigger interviewers to catch themselves or point out when these are showing up to each other. #recruiting #techrecruiting #hiring #techhiring

AI literacy is a critical skill. Most companies are asking for it. But almost no one is measuring it. Some ask candidates to write prompts on paper. Others throw in a vague “AI task” without structure or feedback. That’s not assessment. That’s chaos. With genAssess, I’ve built a purpose-built system to infer and measure AI prompting capability — using real tasks, real tools, and real feedback. It’s not about “pass/fail.” It’s about understanding how someone actually works with AI. And trust me — the gap between assumed skill and actual performance is eye-opening.

The future of HR isn’t job-based. It’s skills-based. And SAP SuccessFactors is quietly leading one of the biggest shifts in workforce strategy. Skills are becoming the real currency of the enterprise — powering hiring, development, internal mobility, staffing, and even pay. With the latest Career & Talent Development + Talent Intelligence Hub, organizations can finally: 🔹 Build a unified skills ontology 🔹 Auto-generate skill profiles for every role 🔹 Map real skills vs. skill gaps 🔹 Recommend learning, mentors, and career paths 🔹 Enable AI-driven talent mobility at scale This isn’t “HR transformation.” This is business transformation through skills intelligence. Companies that move from job-based to skills-based operating models in 2026 will outpace everyone on: ✔ Agility ✔ Workforce planning ✔ Retention ✔ Productivity ✔ Compliance across EU & global markets Skills are becoming your competitive advantage. SAP SuccessFactors is becoming the engine behind it. #SAPSuccessFactors #TalentIntelligence #Skills #CareerDevelopment #HXM #HRTech #FutureOfWork