Buyer's Compass
- 01
Build vs buy: when does an in-house assessment platform actually make sense?
For most organisations, buying assessment infrastructure is the right call - but the build conversation keeps coming up, and most internal proposals underestimate the cost of building by 3x to 10x. An honest analysis of when each path makes sense, what the real TCO of building looks like, and how to evaluate vendor platforms when you've decided to buy.
- 02
All-in-one hiring platform vs separate ATS + assessment + proctoring - what each model gets right
All-in-one hiring platforms and best-of-breed stacks both genuinely work, for different organisations at different stages. An honest analysis of where each model wins, where each commonly fails, when the hybrid path makes sense, and how to decide for your organisation.
- 03
AI in hiring - what's signal, what's noise, and what should actually be automated
AI in hiring has gotten loud — and most of the noise is in the wrong place. The genuinely valuable AI is the unglamorous operational work; the genuinely dangerous AI is the autonomous decision-making most vendors sell as the differentiator. An honest separation of signal from noise, what should actually be automated, and what buyers should ask vendors.
- 04
On-premise vs cloud hiring infrastructure - what high-compliance industries should actually ask
Most organisations that initially assume on-premise hiring infrastructure is mandatory actually have requirements that sovereign cloud satisfies — at a fraction of the cost and operational burden. An honest framework for what regulation actually requires, when on-premise is genuinely necessary, and what to ask vendors during procurement.
- 05
Lite ATS vs enterprise ATS - which one does your team genuinely need?
For most organisations running between a handful and a few hundred requisitions a year, a lite ATS - particularly bundled with assessment infrastructure - is genuinely the right answer. Enterprise ATS earns its cost only at specific scale and complexity thresholds. An honest framework for sizing the ATS to your hiring operation rather than aspiring above it.
- 06
Browser-only proctoring vs OS-level proctoring - what the AI-cheating arms race actually requires
Browser-only proctoring was sufficient until AI tools moved below the browser. ChatGPT, Claude, Copilot, and Gemini now integrate at the operating-system level, where browser proctoring has no visibility. An honest analysis of the architectural gap, what OS-level proctoring closes, and what to ask vendors when assessment integrity actually matters.
- 07
Outsourced hiring assessment services vs in-house assessment platform - when each makes sense
Outsourced assessment services vs in-house platforms is genuinely an operating-model decision, not a vendor selection. An honest framework for when each makes sense, when the hybrid path is the right answer, and how to think about assessment as ongoing operational infrastructure rather than as a project-delivered service.
- 08
Build vs buy for learning platforms - when does an in-house LXP actually make sense?
For most organisations, buying a learning platform is the right call — but the build conversation keeps surfacing, and most internal proposals underestimate the cost of building an in-house LXP by 5-10x. An honest analysis of when each path makes sense, what the real TCO of building looks like, and how to evaluate vendor platforms when you've decided to buy.
- 09
Open-source LMS - the honest TCO and capability picture
Open-source LMS platforms like Moodle, Open edX, and Canvas have no licence fee — but the real TCO at mid-market scale often exceeds modern SaaS LXPs once infrastructure, engineering capacity, customisation, partner support, and AI capabilities are honestly counted. A practical framework for when open-source genuinely fits, and when the free LMS framing breaks down.
- 10
Mobile apps for enterprise LMS - when they help, when they don't
Native mobile apps for enterprise LMS genuinely help for frontline workforces, distributed operations, and learning that depends on offline access. For most other contexts — office-based knowledge workers, scheduled training, occasional learners — a strong mobile-responsive web experience delivers the same outcomes at lower cost. An honest framework for when each fits, what good mobile actually looks like, and how to evaluate vendor mobile capability hands-on.
- 11
AI features in LMS - must-haves, nice-to-haves, and marketing fluff
Most LMS vendors now claim AI capability, but most claims describe commodity AI integrations that don't change learning outcomes meaningfully. An honest framework for separating the AI capabilities that genuinely matter (grounded RAG, KPI-driven pathways, voice-preserving multilingual translation) from the bolt-on features designed to satisfy procurement checkboxes — and how to actually evaluate vendor AI claims against your real content.
- 12
Single-tenant vs multi-tenant LMS - what enterprise buyers should actually ask
Most isolation requirements that procurement frames as needing single-tenant LMS are satisfied by well-architected multi-tenant platforms with strong logical isolation, dedicated resource pools, and customer-managed encryption. An honest framework for what isolation actually requires, when single-tenant is genuinely necessary, and what to ask vendors during procurement.
- 13
Sync vs async LMS infrastructure - what each model gets right
Synchronous and asynchronous learning aren't competing approaches — they're different infrastructure patterns optimised for different outcomes. An honest framework for when each model wins, why most enterprise L&D programmes need both, and how to evaluate vendor capability across both delivery patterns without accepting feature-checklist answers.