49 results for "Hiring"
HiringAn ATS is a candidate database with workflow automation. Hiring infrastructure is something different, the observability, recovery, and execution layer that prevents the database from becoming a graveyard. Conflating them is why most VP searches stall.
HiringThe companies treating hiring as a workflow to be completed are losing to companies treating it as infrastructure to be maintained.
HiringRecruiting teams have always tracked metrics. The shift is toward treating hiring as a system that can be monitored, diagnosed, and recovered, before it fails.
HiringThe cost of hiring the wrong executive is not 6–9 months of salary. The actual number, and the mechanisms that drive it, is worse than most organizations have calculated.
HiringIntelligence hiring is not about smarter tools. It is about redesigning what the hiring process is optimized to produce, and why traditional hiring almost always optimizes for the wrong thing.
Future of WorkEvery few years, a new tool promises to take the human bias out of hiring and replace it with something more rigorous. The tool always underperforms on the thing that matters most: predicting whether a specific person will succeed in a specific role at a specific company. Here is why that prediction remains stubbornly human.
Future of WorkAI is changing hiring. Most of the conversation about how is wrong. The changes that matter are not about automation replacing recruiters, they are about who wins the talent competition in a world where sourcing is commoditised.
Future of WorkHiring is going through the same transition that software operations went through a decade ago, from human-operated to AI-orchestrated. The companies that understand this shift will have a structural advantage. The ones that don't will wonder why their hiring keeps breaking.
FrameworksIn engineering, a service level objective defines acceptable performance thresholds and triggers automated responses when breached. Most hiring teams have no equivalent. That is the gap this framework closes.
FrameworksA hiring mandate is a system. Like all systems, it has health metrics. Most organisations measure outcomes (did we hire?) rather than health (is the system working?) By the time outcomes fail, it's too late.
FrameworksMost hiring fails not because of bad candidates but because of bad intelligence. Three layers, working in sequence. Without all three, decisions are guesses dressed as judgement.
Hiring40–50% of executive hires fail within 18 months. The industry has accepted this as a market condition rather than a methodology failure. It is a methodology failure. Reliability in executive search is not an accident, it is the product of specific process decisions that most search firms do not make.
HiringMost AI recruiting claims are marketing. A smaller set of AI applications create genuine, measurable operational improvement. The difference matters, not as a technology question but as an operations question.
HiringThe opportunity gap is usually discussed as a problem of who gets found. The more important problem is what happens after they're found, and why the system destroys more opportunity than talent scarcity ever does.
HiringMost VP searches don't fail because of the talent market. They fail because of four specific infrastructure failure modes that compound across every stage of execution.
Future of WorkAI is not just changing who does the work. It is changing what the work is worth. As AI tools raise the output floor for every knowledge worker, the question of what human talent commands, and why, is being rewritten in real time.
HiringMost companies have internal recruiters. Most companies still fail at executive hiring. These two facts are not in tension, they follow directly from how internal recruiting functions are built, what they are optimized for, and where that optimization stops working.
HiringThe most common thing I hear from hiring managers is 'we need someone exceptional.' After five years and 25+ placements, I have learned that exceptional is almost never what they mean.
HiringThe organizations winning the talent competition are not the ones with the best sourcing. They are the ones who can see and manage their hiring systems in real time.
Future of WorkDistributed teams are not remote teams with better Slack. They are a fundamentally different organizational model that requires different hiring, different communication, and different leadership. Most companies that try it fail not because the model is wrong, but because they apply co-located assumptions to a distributed reality.
IndiaThe credential read and the capability read are two separate exercises. After five years of placing Indian executives in global roles, I know which one most hiring processes skip.
Future of WorkSoftware operations learned it after enough production outages. Finance learned it after enough risk events. Hiring hasn't learned it yet, but the lesson is coming. The only question is whether you're ready before the failure that forces it.
Future of WorkThe geography of talent has dissolved faster than the geography of hiring processes. Most companies still filter candidates by zip code while the best people for the role are somewhere they've never sourced from.
FrameworksMost hiring processes test for proxies: credentials, presentation, pedigree. Genuine talent has different signals. This framework maps what those signals are and how to surface them.
HiringThe objection to retained executive search is almost always framed as a fee problem. The fee is not the expensive part. What happens when the search methodology fails is.
HiringThe 50-day executive search is not a faster version of the standard process. It is a different architecture, one designed to eliminate the four delay patterns that make most VP and C-suite searches take 120 days. This is the process behind the 41-day close.
HiringMost executive search failures are diagnosed at the point of failure. The actual cause is almost always upstream, in decisions made at the start of the search that made failure inevitable before outreach began.
HiringAcross the VP-level mandates we track, 68% stall at or before week 10. The cause is almost never the talent market. It's almost always the execution layer, and whether anyone can see inside it.
HiringThe cost of a fragmented recruiting stack isn't the software spend. It's execution delay, and every week of delay on a VP-level search compounds in ways that don't appear on any invoice.
HiringA $275K executive search that two firms couldn't close in 60+ days closed in 41. What made the difference wasn't luck or connections. It was a different system.
Hiring40–50% of executive hires fail within 18 months, not because the wrong person was selected, but because of three failure modes that play out after the offer is signed. They are specific, predictable, and mostly preventable.
HiringMoving from #87 to #18 in the World Staffing Leader rankings tells two stories. One is about a firm getting sharper. The other is about an industry where doing this work with genuine rigour still moves you up the list fast, because so few firms actually do it.
HiringExecutive search is not being replaced. It is being divided, into the parts that AI will absorb and the parts that become more valuable.
Future of WorkThe fractional executive model is growing fast, and most of the enthusiasm is justified. But the model has a structural limit that neither side talks about honestly: the things that make a leader effective at a company usually require more time than fractional allows.
Future of WorkAI has already changed how candidates are found. What it hasn't changed — and what I believe it won't change in the foreseeable future — is how the best candidates are persuaded. The sourcing problem was never primarily about finding people. It was about reaching the right people in a way that makes them want to engage.
Future of WorkEvery conversation about AI and recruiting focuses on replacement. The more accurate framing is redesign. The tactical, high-volume parts of the job are being automated. What's left is more valuable, and harder.
Future of WorkThe degree has not been replaced. But its dominance as a signal is eroding in specific domains, and the erosion is accelerating. Understanding where credentials still matter, and where they are being bypassed, is now a practical question for anyone building a career or a team.
Future of WorkThe observable differences between great performers and good performers tend to accumulate in a small number of patterns. Not natural ability. Not credentials. The habits of mind and work that compound over time.
Future of WorkThe most capable person in a room is not always the most visible one. Talent and visibility are different variables, determined by different things. Understanding why they diverge — and what to do about it — matters for anyone trying to build great teams or advance their own career.
OdishaOdisha produces more technical and professional talent than its local economy currently absorbs. The result is a diaspora distributed across Indian and global organisations, and a sourcing opportunity for companies willing to look.
IndiaIndia produces more engineering graduates per year than the US has engineers in total. That is not a staffing opportunity. It is a structural shift in where capability lives.
FrameworksWhen a mandate fails, the natural response is to add more inputs. This usually makes things worse. What looks like a sourcing problem is almost always a symptom of a failure that started several stages earlier.
FrameworksMandate failure is not sudden. It is telegraphed, weeks in advance, through five consistent signals. Most teams don't monitor them until after the damage is done.
FrameworksWhen a VP search stalls, the default response is to add more: more sourcing, more outreach, a new vendor. These are supply-side solutions to a demand-side problem. Recovery requires a different sequence.
IndiaRemote work did not create India's talent export. It accelerated it, and changed the terms. The shift from outsourcing to remote employment is not just a pricing story. It is a structural change in how global talent flows.
KalahandiKalahandi was once synonymous with famine and underdevelopment. Growing up in Junagarh, at its center, taught me what potential looks like before it is realized.
PhilosophyPast experience is a reasonable signal. The question is which experience actually predicts what you need.
HiringMost companies treat retained and contingency search as two price points for the same service. They are structurally different models with different incentives, and the difference in incentives explains almost every quality gap between them.
HiringThe CTO talent pool in India is deep. Almost every company looking for one searches in the wrong places using the wrong signals, and the reason why reveals something important about how Indian technical leadership actually forms.