Ninety-two per cent of executives say a better culture makes their firm more valuable. Almost none of them measure culture. This piece sets out why, what the gap has cost in named companies, and why measuring culture no longer needs a budget, a consultancy or a year of slack.
HR is adopting AI at speed - 39 per cent of HR functions already use it - while engagement sits at a global low of 20 per cent. Whether AI helps depends entirely on where you point it. Pointed at measurement, it makes the thermometer faster. Pointed at the action gap - the manager's weekly conversation, coaching, fitting work to the person - the evidence says it can move numbers nothing else has moved.
DISC and its colourful cousins sort the world's workforce into four boxes, and HR has bought them by the million. The model was proposed in 1928 by the psychologist who invented the lie-detector prototype and Wonder Woman - and who never built an assessment at all. What the evidence says about DISC's accuracy, what its own publisher says about hiring, and why four colours cannot hold a person.
Insights Discovery is the best-crafted of the Jungian colour systems and the most popular in UK corporate life. Its four colour energies have charmed their way into boardrooms across Europe. But the model's own patron saint warned against exactly this use of his typology, the independent research is strikingly thin, and the question buyers actually need answered is not "how accurate?" but "how useful?" The two answers differ.
A mirror shows one person how they prefer to work. A map shows two people, or a team, where those preferences meet. A compass shows an organisation the direction the whole already travels. All three are read from one survey, because culture is what people do, and what people do follows what they prefer.
Ten beliefs about ourselves and work, from playing to our preferences to seeing what is already here before we try to change it, and the six ideas underneath the name SARIIO. With the research and the influences behind each.
Work preferences are the ways a person is naturally inclined to work - how they build relationships, think and plan, decide and deliver. They are not skills, and they are not personality types. Here is what preferences are, how they differ from personality, why the fit research says they matter, and how to identify your own.
Professional services firms lose about a quarter of their clients every year, and most of the advice on keeping them is about being nicer. The research points somewhere else. Clients stay where they use something every week, and where leaving would mean leaving their own data behind. A consultant who gives clients a living picture of their own people builds that, and the wheel turns faster the longer it runs.
Culture change fails when it is treated as a broadcast - posters, values launches, town halls. Culture is the collective language and behaviour of an organisation's people, so changing it means changing what is said and done at four levels at once - the individual, the team, the leadership and the organisation. One ten-minute survey informs all four. The honest timescale is years, but the first measurable movement can come in months.
Most change readiness assessments are surveys about the change - launched after the decision, answered with one eye on how the answers will look. There is another way to read readiness - from the culture itself. If culture is the collective language and behaviour of an organisation's people, readiness for each stage of change is already written in the data, before the programme is even named.
Every definition of organisational culture eventually reaches for the same phrase - "the way we do things around here". Strip the mystique and what remains is observable - the collective language and behaviour of the organisation's people. That definition is not a simplification. It is the one the evidence supports, and the one that makes culture measurable, at every level from the individual to the whole organisation.
Thirty years after Leading Change, Kotter's 8 steps remain the most used change framework in business. The evidence says the individual steps hold up well, the model as a whole was never validated, and Kotter himself fixed its biggest flaw. What no version of the model has ever had is a reading of the culture it is applied to - and that is now measurable.
"Is BPO a call centre?" and "what do BPO workers do?" are among the most-asked questions about an industry that employs over a million people in Africa alone. The short answer: the call centre is one room in a much bigger building. A plain-English tour of the work, the skills, and what the AI era is doing to both.
Every outsourcing decision is a bet that someone else will care for your customers as much as you do. The risks of BPO are real, well documented and - crucially - concentrated in a handful of places a buyer can inspect before signing. Attrition, quality drift, data protection and the new AI clauses, with the questions that expose each one.
People type "are call centre jobs bad" and "are call centre jobs stressful" into Google every day - many of them in South Africa, where the sector is one of the few mass employers of young people. The truthful answer is that the same job is a grind for one person and a career for another, and the evidence explains exactly why.
How can AI improve customer experience is one of the most-searched AI questions in business - and the evidence gives a two-sided answer. Deployed behind the agent, AI measurably improves resolution, retention and customer sentiment. Deployed as a wall in front of the customer, it drives 64% of them towards the door. The difference is placement, not technology.
South Africa's BPO story is usually told as one national number, but the industry lives in specific cities - and job seekers know it, searching "call centre jobs Cape Town" 6,600 times a month, Johannesburg 5,400 and Durban 4,400. A tour of the country's delivery map, what each hub is known for, and where the industry is heading next.
"Is outsourcing to South Africa legit?" is a question people really type into Google - and it deserves a straight answer rather than a sales page. The verifiable record: a top-three ranked offshore CX destination, roughly 150,000 international-facing jobs, near-tripled revenue since 2019, and a set of risks worth naming plainly alongside the strengths.
South Africa built the world's leading impact sourcing industry on entry-level work - and entry-level work is exactly what AI automates first. More than half of entry-level BPO tasks are automatable, while the sector targets 500,000 jobs by 2030. Whether both facts can stay true is the most consequential question in South African BPO. The evidence on each side.
Impact sourcing - deliberately hiring people the labour market has excluded - began as a Rockefeller Foundation idea in 2010. South Africa has turned it into the operating model of a whole sector, with 90% of new GBS hires being young people and nearly a third coming from households where nobody held a job. Here is what it is, and what the numbers say.
Can AI replace call centre agents is one of the most-typed questions about the technology - and it has a better evidence base than most. A 5,172-agent field study, two Gartner customer surveys and one very public corporate reversal point to the same conclusion, and it is not the one either camp expected.
South Africans search "will AI take call centre jobs" more anxiously than almost any other AI question - and the sector employs enough people to make the answer matter nationally. The research says tasks will change faster than jobs will disappear. Here is the evidence, on both sides.
Any AI coaching space will eventually meet someone in real pain. This is a plain account of what Sariio does in that moment, what it deliberately refuses to do, and the law and evidence behind both.
If we do our best work when we play to our preferences, whose preferences win when two people's differ? The science of reciprocity and forty years of game theory give the same answer - and it is not a compromise. It is both, running in a loop.
A UK pioneer of online personality profiling, in the market since 2000, with 1.5 million users and a validity case built on face validity. The publisher's claims, what sits behind them, and the questions any buyer of online profiling should ask.
The Inventory for Work Attitude and Motivation reads workplace motivation through NLP metaprogrammes - the same intellectual lineage Sariio draws on, which is exactly why it gets the same scrutiny as every instrument in this series. The publisher's claims, the search for independent evidence, and what we found.
Nine roles from nine years at Henley, a bruising psychometric debate in the journals, and a publisher that now says its own test is not a psychometric instrument at all. Belbin deserves a careful review - it is the rare model in this series with a real research argument behind it.
Over 1.5 billion tests taken, MBTI-style letters, and - by its own admission - no Jungian machinery underneath. What 16Personalities actually measures, what its self-published statistics do and do not show, and the question its "91% accuracy" figure cannot answer.
The Enneagram has moved from retreat centres into HR departments, carrying a claim of scientific validation with it. A fair review - its genuinely unusual origins, what the systematic review found, and why a panel of psychologists rated it close to "probably discredited".
The man whose name underwrites half the personality-testing industry called type classification a childish parlour game. What Jung wrote in 1921, what he spent the next forty years qualifying, and how his cautions were stripped out on the way to the four-letter code.
Academic psychology gave up sorting people into personality types decades ago, for a reason you can see in a single graph. Here is the statistical case that ended the type era, why the boxes survived commercially anyway - and what measuring on a continuous scale actually changes.
Douglas McGregor asked managers one question in 1960 - what do you assume about the people you manage? - and the question outlived almost every answer the century produced. What he actually wrote, the strange fifty-year gap in testing it, and why your assumptions still run your management style.
Most motivational theories from the management shelf crumble under testing. Self-determination theory is the exception - four decades of experiments, effect sizes that replicate, and a finding about rewards that most incentive schemes still ignore.
Herzberg's motivators and hygiene factors produced the most requested article in Harvard Business Review's history - and one of the most criticised methods in motivation research. What survives replication, what does not, and why his one imperishable distinction still earns its keep.
The most famous diagram in management training was never drawn by the man it is named after. Here is what Maslow actually wrote in 1943, who built the pyramid, what happened when the theory was tested - and the finding from 123 countries that partially rescued it.
Project Aristotle made psychological safety the most cited idea in team effectiveness - and one of the most misread. Here is Edmondson's original research, what Google's study did and did not show, and why safety is the precondition for candour rather than a substitute for it.
Fifteen million leaders trained, five decades of programmes, and a research record that has failed to support the model in test after test. A fair review of Hersey and Blanchard's Situational Leadership - including the one idea in it that deserves to survive.
Kim Scott's framework conquered the management bookshelf on one memorable two-by-two. A fair review - where it came from, why its central warning is better than its reputation, and what the feedback research says about the half of the model most people forget.
Fifteen million copies, three one-minute secrets, and no direct trial of the package in forty years. A fair reading of Blanchard and Johnson's classic - what its ingredients borrow from real science, what aged badly enough to be rewritten, and what a manager should keep.
Coaching is a multi-billion-pound industry resting, for most buyers, on testimonials. The meta-analyses say it works - with moderate, real effects - and they say something surprising about internal coaches, session counts and the famous ROI figures.
The three words are used interchangeably in most boardrooms, and they measure different things. Here is what each construct means, what the meta-analyses found about their links to performance, and the one study that got closest to proving cause.
A TikTok video in July 2022 gave a new name to something Gallup had been measuring for decades. Here is where the term came from, what the engagement data shows before and since, and why the label may have obscured more than it revealed.
The employee Net Promoter Score compresses a workforce's whole relationship with an organisation into one number. Here is where it came from, what the research found when the parent metric was tested, and what a single question can and cannot tell you.
Organisations have surveyed engagement for three decades while global engagement has barely moved. The evidence says surveys measure something real - and that measurement without action is where the whole exercise breaks down.
Contact centre absence hit levels last seen in the pandemic - a 9.4% mean in the 2024 US data - and it is usually treated as a scheduling problem. The evidence says it is an engagement gauge, and the earliest warning of attrition a centre gets.
Points, badges and leaderboards are sold as the cure for contact centre disengagement. The research says gamification can work - for some people, for a while, with consent - and can quietly harm the agents it does not suit.
Some agents resign before their first shift. Others go within weeks of leaving the training bay. The early-attrition evidence points at three fixable causes - misdescribed jobs, slow time to competence, and hiring without knowing what the role actually asks of a person.
Incentive schemes, huddles, pizza Fridays - most agent motivation programmes treat the symptom. The research points somewhere less obvious - task significance, supervisor access, autonomy and fit - and the numbers are striking.
The line that started Sariio, argued properly - what a work preference is, why playing to preferences beats fixing weaknesses, and how an AI-orchestrated suite was built from the ground up to read preferences rather than grade people.
Process is the sixth of the six dimensions in Sariio MAPS - the gap between conception and delivery. Here is how it pairs Thinking and Planning with Getting Things Done, what its nine attributes mean, and how it reads a culture or a role benchmark.
Commitment is the fifth of the six dimensions in Sariio MAPS - how people reach agreement and how quickly trust is extended. Here is how it pairs Relationships with Making Decisions, what its nine attributes mean, and how it reads a culture or a role benchmark.
Impact is the fourth of the six dimensions in Sariio MAPS - where relationships meet delivery. Here is how it pairs Relationships with Getting Things Done, what its nine attributes mean, and how it reads a culture or a role benchmark.
Approach is the third of the six dimensions in Sariio MAPS - where planning meets deciding. Here is how it pairs Thinking and Planning with Making Decisions, what its nine attributes mean, and how it reads a culture or a role benchmark.
Action is the second of the six dimensions in Sariio MAPS - how choices become finished work. Here is how it pairs Making Decisions with Getting Things Done, what its nine attributes mean, and how it reads a culture or a role benchmark.
Direction is the first of the six dimensions in Sariio MAPS - where trust meets planning, before work begins. Here is how it pairs Relationships with Thinking and Planning, what its nine attributes mean, and how it reads a culture or a role benchmark.
The six dimensions - Direction, Action, Approach, Impact, Commitment and Process - are the canvas every Sariio map is drawn on. Here is how they are built from the four factors, what the nine cells and their attributes mean, what consistent, flexible and variable tell you, and how one view maps both culture and successful roles.
Getting Things Done is the fourth of the four factors in Sariio MAPS - how you prefer to carry commitment through to completion. Here is why it matters, and what its three preference pairs - Specific-General, Finisher-Starter, Perfectionist-Pragmatist - actually mean.
Making Decisions is the third of the four factors in Sariio MAPS - how you prefer to move from thought to action. Here is why it matters, and what its three preference pairs - Thinking-Doing, Rational-Intuitive, Certainty-Ambiguity - actually mean.
Thinking and Planning is the second of the four factors in Sariio MAPS - how you prefer to process information and shape a plan. Here is why it matters, and what its three preference pairs - Problem Solver-Risk Taker, Similar-Different, Procedures-Options - actually mean.
Relationships is the first of the four factors in Sariio MAPS - how you prefer to connect with the people work is done with. Here is why it earns its place, and what its three preference pairs - Wary-Trusting, Concern for Task-Concern for People, Independent-Interdependent - actually mean.
Every Sariio map is built from the same foundation - four factors that between them cover the whole cycle of work, each read through three preference pairs. Here is the structure, the thinking behind it in Alfred Adler's psychology and the NLP metaprogramme tradition, and why sliders beat boxes.
Engagement is measured three main ways - the Gallup Q12, eNPS and pulse surveys - and the scores genuinely predict performance. Yet global engagement has sunk to 20 per cent, and only 8 per cent of employees say their organisation acts on the results. Here is how the measurement works, and the question none of the surveys ask.
The definitive verdict table. Every major personality test used in workplaces today - examined on its own terms, using its publishers' own words, the independent evidence, and the selection research. What each claims, what the data shows, and what to use instead.
A fair, evidence-led review of Gallup's CliftonStrengths assessment: its origins with Don Clifton, how the 177-item survey actually works, its psychometric record, and what independent research says about strengths-based development.
The feedback sandwich has been taught for forty years. The largest study of feedback ever run found more than a third of feedback interventions made performance worse - and the mechanism runs through the sandwich's middle. Here is the evidence, and what to do instead.
GROW is the most widely taught coaching model in management. Here is where it came from, what the coaching research actually supports, why direct tests of the model itself are surprisingly thin, and how to use the four questions without turning them into a script.
Millions of people are already using ChatGPT for coaching, therapy, and self-improvement - and the early evidence says it works better than most people expect. But a general chatbot knows nothing durable about how you actually work. The quality of coaching depends on what the coach knows about you, and that is the part nobody has solved yet.
Two million people a year take the MBTI, and 88 of the Fortune 100 use it. Yet up to half of retakers get a different type within five weeks, the publisher's own website says it cannot predict job performance, and the psychology profession moved on decades ago. What "debunked" really means here, why your type still feels so accurate, and what the appetite for self-knowledge deserves instead.
Work preference mapping shows how people actually like to work - how they decide, connect and get things done - rather than assigning them a personality type. Here is what it is, why it matters now, and the story this series will tell.
The charge of pseudoscience is serious and specific. It means an instrument looks like science, talks like science, and fails science's own tests. Some personality assessments deserve the label. Others do not. The answer depends on which test, which claim, and - critically - what you are using it for.
What a French advertising executive's 1992 framework reveals about why the people-testing industry is stuck - and what comes next.
Every mature market has the same shape - a circle. The companies that changed the world didn't win inside it. They left.
Contact centres lose a third of their people a year, and most of the leavers are gone within ninety days. The evidence says pay is not the main reason they go - mismatch and management are. Here is what the research shows, and what an operator can actually do about it.
Culture is behaviour, and behaviour is measurable. See how Sariio derives a cultureMAP from the preferences of an organisation's people, with real examples of all six dimensions - Direction, Action, Approach, Impact, Commitment and Process.
Daniel Pink's research shows that autonomy, mastery, and purpose - not money - drive performance in cognitively complex work. The implications for managers, coaches, and HR professionals align precisely with the philosophy behind Sariio.
Over a century ago, Alfred Adler broke from Freud and Jung to argue that people are not prisoners of their past but purposeful, social beings striving toward self-created goals. His ideas align remarkably with how Sariio measures dynamic work preferences - and challenge the deterministic assumptions underpinning most legacy personality tests.
Annie Murphy Paul's investigation exposed a $500 million industry built on pseudoscience. Two decades later, the same myths still shape how organisations hire, manage, and misunderstand their people.
Decades of research show personality assessments explain as little as 6% of job performance. The evidence demands a rethink.
Gallup's State of the Global Workplace 2026 report delivered a sobering message: global employee engagement has dropped to 20%, its lowest level since 2015. That means roughly four in five workers worldwide are either sleepwalking through their jobs or actively undermining them. The estimated cost to the global economy? $438 billion in lost productivity - every single year.