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Most of these developers don't sit at a desk all day. They're on project sites, in sales galleries, out with customers. That makes this a harder compliance training case study than the usual one, because the real test of a learning platform for a workforce like that was never the launch. It was whether anyone came back a second time.
Eight months in, they had their answer. A large majority of registered employees were active, returning an average of more than sixteen times each, and most of the learning happening on the platform was learning nobody had told them to do. The client is not named here — sector, region, and the figures below are all that is disclosed.
The design decision was to treat compliance as the front door rather than the whole house. Every employee had an unavoidable reason to sign in — POSH, ICC, code of conduct, workplace safety — and the moment they arrived, the rest of the catalogue was right there rather than behind a separate request or a second system.
The second decision was to leave that catalogue open instead of assigning a fixed curriculum, then watch what people actually picked. Alongside it sat two deliberate tracks for anyone ready to move past the basics — a structured AI pathway and a leadership series — with a visible leaderboard doing the nudging.
The result was that only 29% of enrolments were ever assigned. The other 71% were people choosing for themselves, on a platform they first opened because they had to.
The pairing to notice is the second and third cards. Open discovery and mandatory compliance are usually discussed as competitors for the same limited attention — and in a workforce with less desk time than most, that concern should apply more strongly, not less. Here, compliance was the highest-completing category on a platform where most enrolments were voluntary. For the compliance mechanics underneath this, our compliance training software overview covers how assignment, tracking, and evidencing run.
Published learning-adoption success stories tend to come from organisations where adoption was never really in doubt — technology companies, professional services, consultancies. Populations that are desk-based, English-fluent, already comfortable with self-directed online learning, and given discretionary time in which to do it. Their results are real and they transfer poorly.
This one starts from a different place. A property development business runs on project sites, sales galleries and customer meetings. Learning competes not with a quiet afternoon but with a site visit, and the honest prior expectation for a workforce like that is compliance completion and very little else.
Desk workers have gaps between meetings. Site-based staff have travel, walkthroughs, and customer time. There is no obvious slot in the day where a forty-minute course fits, so anything that is not urgent gets deferred indefinitely.
Real estate development is not a sector where staff arrive expecting a learning catalogue. Training has traditionally meant a compliance session and a site safety briefing, which sets a low expectation that a platform has to overcome.
A workforce spanning site operations, sales and corporate functions does not share one working language. Statutory training delivered only in English produces a completion record from part of the population and comprehension from a smaller part still.
The obligations were real and non-negotiable: POSH, ICC, code of conduct, workplace safety. The risk in that framing is that compliance becomes the entire definition of what the platform is for, and nothing else is ever attempted.
There is a reasonably well-established way to distinguish a platform people use because they must from one they actually return to, and it is worth setting out before the results because it is the reference point they should be read against.
Published guidance on LMS change management identifies voluntary enrolment — the share of learners who choose to start a non-mandatory course — as the metric that predicts long-term adoption. Below 15%, the guidance holds that you have compliance adoption rather than learning adoption, and the platform will be ignored once mandatory training is complete.
Source: LMSPedia, LMS Change Management Guide, 2026. Included as an industry reference point, not as a measurement of this client.
That threshold is exactly the trap this deployment was designed around. Compliance-driven logins are easy to generate and easy to mistake for success: mandatory deadlines produce a spike, the dashboard looks healthy, and nobody discovers the platform was never adopted until the following year when the spike does not repeat.
Compliance can buy you a first visit from every employee in the company. What it cannot buy is the second one. Those are two different problems, and only one of them is solved by a deadline.
So the open question at the start was narrow and specific. The obligations had to be covered, and covered properly. Could the same platform also pull people toward things nobody was forcing on them — better spreadsheets, leadership skills, a first real look at AI tools at work? For how requirements differ by sector, our industry-specific solutions hub covers what changes for site-based and operational workforces, and our piece on why traditional learning fails covers the engagement problem this had to overcome.
The phrase the team used for the design is worth borrowing, because it names a strategy most organisations stumble into rather than choose. Compliance became the front door rather than the whole house. Everyone had a reason to log in, and once they were in, the rest of the catalogue was right there.
That is a deliberately small idea, and its power is in what it solves. The hardest problem in learning platform adoption is not content quality or interface design. It is the cold start: getting a first visit from a person who has never used the system, has no habit attached to it, and has a full day already.
Decision two is the one that separates this from a conventional compliance rollout, and it is also the one that feels riskiest to a compliance owner. Opening the full catalogue while mandatory deadlines are live looks like inviting distraction. The results in the next sections suggest it was not, though it is worth being clear that the compliance path stayed automated and deadline-driven throughout — open discovery was added alongside it, not in place of it.
The cheapest version of this strategy. If you already run compliance training through a platform, you have already paid for the front door and are probably not using it. The question worth asking is what a person sees in the thirty seconds after they finish a mandatory course. If the answer is a completion certificate and nothing else, that is the entire opportunity going unused — and fixing it is a configuration change, not a procurement one.
On the mechanics of running the mandatory path well while this happens alongside it, our guide to developing an effective compliance training strategy covers the assignment and tracking model, and our piece on compliance training in the AI era covers where automation is heading.
An honest compliance training case study should state the limit of each number alongside the number itself, because a figure without its boundary invites the reader to stretch it. The third column is what each result supports; the fourth is what it does not. All figures are first-party platform data for the FY 2025–26 window, with no prior-year comparison available.
| Result | What it measures | What it supports | What it does not support |
|---|---|---|---|
| 73% onboarded |
Share of registered employees activated onto the platform | Reach across a dispersed, largely non-desk workforce — not a self-selecting subset | Says nothing about the remaining employees who never onboarded, or why |
| 71% self-directed |
Share of enrolments learners chose rather than were assigned | Genuine voluntary demand, far above the 15% floor that separates learning adoption from compliance-only use | A share of enrolments, not of learners — heavy users can lift it |
| 64% completion |
Overall course completion across all enrolments | Roughly two-thirds of what was started got finished, voluntary content included | Completion is not comprehension; no assessment of retention was run |
| 84% compliance |
Completion on compliance and safety courses | The mandatory obligation held up as the highest-completing category, alongside an open catalogue | No prior-year figure exists, so this is a level rather than an improvement |
| 91% POSH |
Completion on the flagship statutory course | Reach on the single most important statutory obligation, aided by a Hindi version | The Hindi contribution is an attribution, not a measured comparison |
| 4.6/5 rating |
Average learner rating of courses taken | Content quality was not the constraint — learners rated what they chose highly | Ratings are self-selected and skew positive; low-rated content may be under-enrolled |
| 16+ returns |
Average number of times a learner came back | Repeat use rather than a single compliance visit — the behaviour a platform lives or dies on | An average; distribution is unknown and one outlier learner is documented |
| 43% capability |
Share of enrolments in AI, leadership and digital skills combined | The catalogue moved beyond compliance into capability building within one window | Enrolment share, not capability gained; no skills assessment was run |
Rows two and four are the ones worth defending in a meeting. Taken together, they say that a workforce with little desk time met its statutory obligations at the highest rate on the platform and chose most of its own learning — in the same year, through the same system. That combination is the finding, and neither number means much without the other.
Row three deserves a caveat that most case studies skip. A 64% completion rate across all enrolments is respectable, and it is not the same as 64% of learners finishing everything they started. Voluntary browsing produces abandoned enrolments by design — people sample a course, decide it is not what they wanted, and move on. That is healthy behaviour in an open catalogue, and it depresses the completion metric, which is part of why the compliance figure sits above it.
On the outlier. One learner in Customer Experience accounted for roughly 8% of all completions across the entire platform, unprompted and on their own time. That is a good story and a statistical warning at once: any platform-wide average in this dataset is influenced by a small number of very heavy users. It is reported here because leaving it out would make the averages look more evenly distributed than they were.
If you are assembling comparable numbers for your own programme, the design decision that matters is separating voluntary from mandatory reporting from day one. Our guide to measuring the effectiveness of an eLearning module covers how to instrument completion against outcome, which is what makes the fourth column above possible to fill in honestly rather than left blank.
Only 29% of enrolments were ever assigned. The other 71% were people choosing courses on their own, and what they chose is the part that could not have been planned. Open discovery does not only serve learners; it tells the organisation what its workforce believes it needs, which is information no training-needs survey reliably produces.
The most striking shift came from AI. In a business built on land and buildings, AI became the single fastest-growing thing people wanted to learn — climbing to around 16% of all enrolments in its first year, driven by employee demand rather than any mandate. It ran through a structured AI pathway alongside hands-on sessions with common assistant tools.
The bottom bar is the industry reference line described earlier, shown for scale. It is not a measurement of this company.
That AI is in demand in 2026 is not a finding. What makes this version of it worth reporting is the sector. Appetite for AI skills is usually assumed to live in technology companies, and the assumption shapes where organisations invest — a property developer would not typically be advised to build an AI learning track for its own staff.
Here it arrived unprompted, from the workforce, and it did so in a business whose core product is physical. That should adjust the prior for anyone running L&D in a traditional industry: the demand may already exist in your workforce and simply have nowhere to register. An assignment-only catalogue would never have surfaced it.
An open catalogue is the cheapest demand signal an L&D function can install. This one revealed an appetite the sector's own assumptions said should not be there.
The 43% figure is the one to carry into a board conversation. Nearly half of everything enrolled in was capability building — AI, leadership, digital skills — rather than obligation. That is the clearest available sign of a catalogue that has moved past compliance, and it happened in the same window the compliance obligations were met at the highest rate on the platform.
The caveat that keeps this honest. Enrolment share measures what people wanted, not what they gained. Nothing here assesses whether AI capability actually improved — no skills assessment was run, no before-and-after comparison exists. Demand is a leading indicator and a genuine one, but a business case built on it should say "our people are asking for this" rather than "our people can now do this."
On turning that demand into structured capability, our guide to selecting an AI-capable LMS covers what to test, and our overview of upskilling strategies covers how open interest gets converted into a programme.
The objection any compliance owner will raise at this point in a compliance training case study is the right one to raise, so it is worth stating in its strongest form rather than stepping around. Opening a full catalogue while statutory deadlines are live looks like inviting distraction into a process that cannot afford it.
It did not happen here. Compliance courses finished at 84% — the highest completion rate of any category on the platform, above the 64% overall rate and above the voluntary content competing for the same attention.
One deployment does not settle the question generally, and the compliance path stayed automated and deadline-driven throughout. What this does establish is that the trade-off is not automatic: whatever causes open catalogues to depress compliance elsewhere did not operate in this workforce.
This is the single most important number in the article for an Indian employer, and it deserves more than a mention. POSH obligations sit with the employer, and evidencing completion matters as much as delivering the training — Internal Committee records and audit trails are the artefacts that count when a complaint arises, not the existence of a course in a catalogue.
The language point underneath it is the transferable one. Statutory training delivered only in English to a workforce that does not all work in English produces a completion record without producing comprehension. That is a compliance risk wearing the appearance of a compliance result, and it is invisible on every dashboard, because a completed course looks identical whether or not the person understood it.
A Hindi version changed who could realistically complete the course, in a workforce spanning site operations, sales and corporate functions with no single shared working language.
Compliance and safety at 84% outperformed every other category, including the voluntary content that was supposedly competing with it for attention.
Assignment, tracking, and follow-up ran automatically rather than through L&D chasing individuals — which is what stops completion from decaying over a year.
POSH, ICC, code of conduct, and workplace safety all ran through the same platform, so evidence sat in one place rather than across separate trackers.
Be precise about what the Hindi version proves. The company attributes part of the 91% to it, and that attribution is credible. It is not a measured comparison — no English-only variant ran alongside it, so the size of the effect is unknown. If you are making the case for regional-language statutory content internally, argue it on comprehension and legal defensibility rather than on a completion-rate uplift this data cannot size.
For what POSH completion evidence actually has to contain, our overview of POSH training and certification covers the record-keeping requirement, and our guide to multilingual and regional-language training covers the difference between translating an interface and genuinely localising a course.
The most unusual finding in the dataset is not any single percentage. It is the timing. Engagement kept building through the year, and its strongest stretch came right at the end of it: more than 40% of all enrolments and completions landed in the final three months.
That is the opposite of the normal pattern, and the normal pattern is so common it is usually treated as inevitable. A launch generates a spike; novelty and communications carry a few months, and activity settles into a long decline punctuated by compliance deadlines. A curve that rises into its final quarter is describing something different.
Sixteen-plus average returns is the figure that explains the curve. A single compliance visit is one. Two or three suggests a person who came back when told to. Sixteen is a different category of behaviour: it means the platform had become somewhere people went when they had a question, not somewhere they were sent when there was a deadline.
The breadth figures matter alongside the depth ones. Learning running across every business function, spread over hundreds of distinct courses, describes a catalogue in genuine general use rather than one department carrying the numbers. A platform can post good averages while being used seriously by two teams; this one was not.
A launch spike tells you the communications worked. A final quarter that outperforms the first tells you the communications stopped being necessary.
By the end of the window, learning had stopped looking like an HR initiative and started looking like a normal part of the week. That is the actual objective of any adoption programme, and it is notoriously hard to evidence — which is why the shape of the curve is worth more attention than the headline completion rate.
What a back-loaded curve cannot tell you. One window does not establish that the pattern continues. A rising final quarter could reflect a genuine habit, or a year-end push, or the compounding effect of a leaderboard that has not yet lost its novelty. The test is what the following year's first quarter looks like compared with this year's fourth — and that number does not exist yet. Anyone citing this should say "engagement built through the first year" rather than "engagement grows over time".
On the levers that sustain engagement past the launch period, our guide to boosting engagement and training effectiveness covers the wider set, and our overview of building a learning culture covers the organisational side of what this curve represents.
The numbers here are unusually complete for a first-year programme, which makes it more important rather than less to mark the edge of what they support. Six limitations apply, and the fourth is the one a sceptical reader should press hardest on.
No comparable prior platform existed, so every figure is a level rather than a measured improvement. Nothing here says learning increased, because there is no earlier measurement it could have increased from.
Not retention, not safety incidents, not sales performance, not customer satisfaction, not productivity. For a property developer, site safety outcomes would be the natural test of a safety training programme, and that link was not established.
An 84% compliance completion rate and a 91% POSH figure record that people finished courses. No assessment of understanding or behaviour change was run, which for statutory training is the outcome that actually matters legally and practically.
One learner accounted for roughly 8% of all platform completions. With a documented outlier of that size, the sixteen-plus average return figure and the completion rate should both be read as averages over an uneven distribution, not as typical individual behaviour.
The company credits a Hindi version with part of the 91% POSH result. That is plausible, and it is not a controlled comparison — no English-only variant ran alongside it, so the size of the contribution is unknown.
A single programme year in one Indian property development business. The back-loaded engagement curve in particular cannot be shown to persist, because the following year's data does not exist yet.
The right-hand column's first item is the important one. This entire strategy depends on compliance being universal and unavoidable. In an organisation where mandatory training touches only part of the workforce, the front door opens for that part only, and the rest of the population needs a different entry mechanism entirely.
How to cite this internally. "A site-based workforce reached 84% compliance completion and 71% self-directed enrolment in one year by treating compliance as the entry point" is defensible and specific. "Compliance-led rollouts improve safety outcomes" is not supported by anything here. If your business case needs an outcome claim, instrument it yourself before you start — the baseline disappears the moment the programme launches, and this engagement is a good illustration of what is lost by not capturing one.
On building that measurement in from the start, our guide to measuring ROI from corporate training covers how the business-outcome link is constructed and why it cannot be retrofitted convincingly.
Six decisions here port to any organisation with real compliance obligations and a workforce that does not spend its day at a desk. Three of them happen before launch, which is where most programmes underinvest.
The focus now is narrower rather than bigger, and it follows directly from what the first window revealed. Break the AI pathway into shorter, role-specific milestones as demand continues to climb, and move from an open catalogue toward learning journeys mapped to specific roles.
That direction is worth noting because it runs against the instinct the results might suggest. Open discovery produced 71% self-directed enrolment, so the obvious conclusion is to do more of it. The company is doing the opposite — adding structure — because open browsing is very good at surfacing demand and less good at carrying someone all the way to capability. The catalogue did its job; the next job is different.
The sequencing lesson. Open first, structure second, and in that order. Structuring before you know what people want produces role journeys built on assumptions, which is the generic curriculum problem in a more expensive form. This company earned the right to build role-mapped journeys by first spending a year watching what its people actually chose — which is a year of demand data most organisations never collect.
On the structured formats that follow open discovery, our guide to blended learning for upskilling covers the cohort and pathway models, and our overview of LMS implementation strategies covers the rollout mechanics underneath all six decisions above.
The transferable material in any compliance training case study is usually in what was not done. Five decisions are conspicuously absent here, and their absence explains most of the results above.
Most organisations deliver mandatory training, issue the certificate, and let the person leave. That is a guaranteed visit from every single employee, spent entirely on an obligation. It is the largest unused asset in corporate L&D.
A prescribed pathway would have produced completions and no information. Leaving the catalogue open is what surfaced an unexpected appetite for AI in a property business — demand the training calendar would never have predicted.
For a mixed-language workforce, this produces completion records without comprehension. The Hindi version of the flagship POSH course was treated as a reach decision, not a nice-to-have translation.
A visible leaderboard did the nudging instead of reminder campaigns from L&D. Cheaper, continuous, and it does not train people to ignore emails from the learning team.
The strongest stretch was the final three months, not the first. A programme judged on its launch quarter would have been assessed at the point it was performing worst and possibly cut before it compounded.
A workforce that mostly does not sit at a desk — on project sites, in sales galleries, out with customers — ended its first programme window with learning running across every business function and hundreds of distinct courses in active use. It had stopped looking like an HR initiative and started looking like a normal part of the week.
The mechanism was not a campaign. Compliance provided a reason for every employee to walk through the door once; an open catalogue, regional-language statutory content, two structured tracks and a leaderboard gave them reasons to come back sixteen more times. 84% compliance completion and 71% self-directed enrolment happened in the same year, on the same platform, for the same people.
What the data does not show is equally worth stating: no baseline, no business outcome, no comprehension testing, and one window only. The claim is about learning behaviour, and within that boundary it is a strong one.
If you are planning a comparable rollout, our corporate training overview covers programme design, and our learning experience platform page covers the discovery and pathway capability this depended on.
Every organisation with statutory training gets one guaranteed visit from every employee each year. Tell us what your people see in the thirty seconds after they finish it, and we will show you what else could be there.
Meet Sarita Chand, a visionary entrepreneur whose journey over the past 17+ years spans investment banking, ed-tech, and social impact. As the Co-Founder of EduPristine, she helped build the business from the ground up — raising funding from the likes of Accel Partners and Kaizen PE — and ultimately guiding its acquisition by Adtalem Global Education (ATGE, NYSE). Before founding her own ventures, she sharpened her financial acumen working at top-tier firms including Goldman Sachs and the Aditya Birla Group, gaining deep exposure to capital markets, risk management, and global strategy.
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Skillsoft is a global leader in corporate learning, providing digital training and education solutions to help businesses improve workforce productivity, reduce risk, and increase innovation.

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