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How Decathlon Accelerated Frontline Hiring by 40% with Moka AI

Learn how Decathlon reduced time to fill by 40% and streamlined frontline hiring with Moka AI's recruitment automation solution on WhatsApp.

Customers5 min readJul 2026Ashley Carter
How Decathlon Accelerated Frontline Hiring by 40% with Moka AI

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How to Choose the Right ATS for Lark Users? 4 Criteria That Matter

How to Choose the Right ATS for Lark Users? 4 Criteria That Matter

Choosing an ATS for a Lark team? Learn the four criteria that matter most: integration depth, workflow coverage, deployment speed, and compliance readiness.

Ashley CarterAshley Carter
8 min · Jul 2026
Talent & Culture Strategy at Tesla

Talent & Culture Strategy at Tesla

Tesla runs the Tesla360 survey (91% participation), offers the 16-week Tesla Start Program, and pays ~$110K average. How its ownership culture drives innovation.

Ashley CarterAshley Carter
13 min · Jul 2026
Top 20 Recruiting Metrics You Need to Track in 2026

Top 20 Recruiting Metrics You Need to Track in 2026

A practical guide to the recruiting metrics that matter in 2026, covering hiring efficiency, funnel conversion, source quality, pipeline health, benchmarks, and how recruiting analytics software helps teams make better hiring decisions.

Ashley CarterAshley Carter
20 min · Jun 2026

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Manufacturing & Industrial Hiring in APAC: Why ATS Built for Tech Hiring Fails on the Factory Floor

Manufacturing & Industrial Hiring in APAC: Why ATS Built for Tech Hiring Fails on the Factory Floor

Asian manufacturing — from Penang semiconductor fabs to Vietnamese electronics plants to Indonesian EV factories — operates under hiring conditions that the standard tech-focused ATS was never designed for. This piece explains the five fundamental mismatches, why standard platforms fail at scale, and what manufacturing-grade hiring actually requires across screening, language, certification, and high-volume blue-collar operations.

Ethan CaldwellEthan CaldwellMay 202614 min
The Hiring Manager Engagement Score: Why Your Best Recruiters Burn Out Doing Other People's Work

The Hiring Manager Engagement Score: Why Your Best Recruiters Burn Out Doing Other People's Work

Once AI ATS removes the screening and scheduling friction, the slowest part of every hiring process becomes the hiring manager — feedback latency, decision indecision, calibration drift. This Insights piece introduces a 5-dimension Hiring Manager Engagement Score (with a 20-item self-assessment), profiles four common problem-manager archetypes, and gives Heads of TA a concrete 90-day enablement roadmap.

Ethan CaldwellEthan CaldwellMay 202614 min
The Hidden Cost of a 47-Day Hire: A Recruiting Pipeline Audit Framework for 2026

The Hidden Cost of a 47-Day Hire: A Recruiting Pipeline Audit Framework for 2026

Global average time-to-hire reached 44 days in 2025 — up from 31 in 2023. The problem isn't that hiring is slower everywhere; it's that most teams can't see exactly where their own pipeline is failing. This piece introduces a 7-stage audit framework with industry benchmarks, four diagnostic patterns matched to specific automation interventions, and a 21-day pipeline scorecard teams can start using on Monday

Ethan CaldwellEthan CaldwellMay 202616 min
The Modern Recruiter's Day: 8 Hours of Work, Now Done in 3 — A Walkthrough of How AI ATS Reshapes Every Hour

The Modern Recruiter's Day: 8 Hours of Work, Now Done in 3 — A Walkthrough of How AI ATS Reshapes Every Hour

Most articles about AI in recruiting are abstract. This one is concrete: we walk through the actual working day of a mid-level recruiter at a 500-person company, hour by hour, showing exactly which tasks AI ATS automates, where the time savings come from, and what the recruiter does with the reclaimed hours. Based on aggregated workflow data from Moka customers in 2024–2025.

Ethan CaldwellEthan CaldwellMay 202615 min
The Candidate Digital Twin: Why Your AI ATS Already Builds One (And What It Means for 2026)

The Candidate Digital Twin: Why Your AI ATS Already Builds One (And What It Means for 2026)

A definitional Insights piece introducing the concept of the "Candidate Digital Twin" — the dynamic, AI-maintained representation of every candidate in an organisation's hiring ecosystem. Examines the four layers of a Candidate Digital Twin, why traditional ATS systems cannot build one, the three use cases this unlocks (Talent Rediscovery 2.0, predictive offer acceptance, bias-corrected outcome modelling), and the ethical line between candidate intelligence and candidate surveillance.

Ethan CaldwellEthan CaldwellMay 202612 min
The State of AI Recruiting in Asia 2026: What 6,554 HR Leaders Tell Us About the Region's Hiring Revolution

The State of AI Recruiting in Asia 2026: What 6,554 HR Leaders Tell Us About the Region's Hiring Revolution

A data-driven analysis of how artificial intelligence is reshaping recruiting across Singapore, Hong Kong, Malaysia, Japan, Korea, and Greater China — drawing on LinkedIn's 19,113-respondent global survey, Singapore's Workplace Fairness Act, Malaysia's PDPA 2024 amendments, and adoption data from Moka's 2,000+ enterprise customers. Includes a regional adoption map, ROI benchmarks, the four bias compliance frameworks every Asian HR leader must understand, and three predictions for 2027.

Ethan CaldwellEthan CaldwellMay 202615 min
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