You can tell me your customer acquisition cost to two decimal places. You can track a user's journey from first click to conversion across fourteen touchpoints. You can model revenue scenarios, forecast churn, and predict which accounts are at risk before your sales team has a clue.
But ask "what can our people actually do?" and you'll get a shrug and a link to an org chart from 2022.
That's absurd. Your people are your biggest cost, your biggest asset, and your biggest competitive advantage - and they're a black box.
We track everything except the thing that matters most.
Let's talk about job titles - because they lie
If titles actually described capability, we wouldn't bother interviewing people.
Two "Marketing Managers" can be entirely different species: one a brand strategist, one a data analyst in disguise. A "Team Lead" could be a coach, a project manager, or just the person who didn't say no. A "Customer Service Rep" might be an expert in workflow automation… or simply reading from a script.
Job titles freeze a role at a moment in time. But work evolves weekly. And yet, we rely on them as if they're gospel.
I've had clients come to us wanting to assess AI's impact on their workforce and the first thing they said was: "We don't even have up-to-date position descriptions." They're not alone. Most organisations couldn't tell you what their people actually do in a given week, let alone what they're capable of.
And if you can't describe the work, you can't plan the workforce. For anything - not just AI.
The organisations that start seeing what people can actually do will stop guessing and start building real capability. Whether they're planning for AI or just trying to staff next quarter's projects.
How is it possible we don't know what people can actually do?
Once you grow beyond 50 people, you simply can't cognitively track what everyone is capable of. And that's a problem, because nearly every important decision depends on it.
Think about all the things that require knowing your people's skills:
Workforce planning - do we have the capability to deliver next year's strategy, or do we need to hire? Project resourcing - who's actually the best person for this, not just who's available? Succession planning - if three senior people left tomorrow, who's ready? Retention - are people leaving because they can't see a future here? Restructuring - which roles can we combine, and who has the breadth to step up? AI readiness - which tasks are likely to change, and do people have the skills to adapt?
Every single one of these requires the same foundation: visibility of what your people can do. And most organisations don't have it.
Someone resigns and only then do you discover they could automate workflows. That quiet analyst? They can code, train models and design dashboards - but no one ever asked. The project manager who's been running cross-functional programmes for years gets overlooked for a transformation role because their title says "PM" and the job spec says "Change Lead."
Our talent is hidden in plain sight. And we accept it because we've never had a better way to see it.
This is what a proper skills matrix solves - real-time visibility of what your people can actually do, mapped against what the organisation needs. Not a spreadsheet that's out of date the moment it's saved. A living view of workforce capability that updates as people grow, move, and develop.
Why team development feels like an afterthought
We know growth drives retention. Yet development is treated like admin:
Quarterly PDPs are rushed or forgotten. Development depends on the manager's luck, not company design. Most people have a more detailed development plan in their gym app than in their workplace system.
And here's what makes it worse: when someone does want to develop, they get generic advice. "Learn data analytics." "Get a project management certification." "Upskill in AI." None of it is connected to their actual skills, their actual role, or where the organisation actually needs them to grow.
That's why we built an AI Career Coach that gives people personalised guidance based on their real skills and experience - not generic recommendations, but specific next steps based on what they can do now, what's realistic next, and what the organisation actually needs.
Because development that isn't connected to the reality of someone's work isn't development. It's wishful thinking.
Here's the bigger problem: we don't actually understand the work
There's a profound gap in how companies approach capability: the unit of analysis must be tasks, not job titles.
You can't plan your workforce if you haven't mapped the work. You can't resource a project properly if you're matching job titles to job specs instead of skills to requirements. You can't build realistic career pathways if you're working at the title level instead of the task level. And you certainly can't prepare for AI if you don't know which tasks make up each role.
The chain of absurdity is clear:
Strategy → Capability → Skills → Tasks → Work
Yet most companies plan at only two levels: strategy and roles. Everything in between is a mystery.
And this mystery has real consequences. 83% of HR leaders report that workforce demand is developing faster than workers' skills. Organisations are making multi-million-dollar transformation decisions based on assumptions about capability that nobody has actually verified.
Whether you're responding to AI disruption, launching a new product, entering a new market, or simply trying to get the right people on the right projects - it all starts with understanding the work at the task level.
Our AI Impact Assessment does exactly this - breaking any role down to its component tasks and showing how each one is likely to change. It takes a couple of minutes and gives you more insight into a role than most organisations get from months of workforce planning workshops. Even if AI isn't your immediate priority, the task-level view is the foundation for everything else.
Careers are like LEGO, not ladders
People grow by stacking skills, not climbing titles.
A customer service rep moves into operations by adding analysis and workflow skills. A marketer evolves into growth strategy via analytics and experimentation. An HR coordinator becomes a workforce planning analyst by building data skills alongside their people expertise.
Skills are modular, transferable and buildable. Job titles hide this. Skills reveal it.
Companies that understand this can redeploy talent, design realistic pathways, and grow capability proactively - instead of losing people who couldn't see a future and went somewhere that showed them one.
This is exactly what IKEA did when AI automated their call centre operations. Instead of cutting 8,500 people, they reskilled them into interior design advisors - turning a cost centre into a €1.3B revenue engine. They could do it because they understood the skills their people had, not just the titles they held.
Klarna took the opposite approach with the same technology. Cut 40% of the workforce. Quality collapsed. Had to rehire.
Same technology. Opposite people decisions. The difference? One company could see the skills. The other only saw the headcount.
FAQs
Why don't job titles reflect real employee skills? Job titles describe a role at a point in time - they don't capture the full range of someone's capabilities, experience, or potential. Two people with the same title can have entirely different skill sets. Task-level skills mapping gives organisations a far more accurate picture of what their workforce can actually do.
What is skills visibility and why does it matter? Skills visibility means having a real-time, accurate view of the capabilities across your workforce. It matters because nearly every workforce decision - from project resourcing and succession planning to AI readiness and retention - depends on knowing what your people can do. Without it, you're planning on assumptions.
How do you build a skills matrix for your organisation? Start by mapping the actual tasks people perform in their roles, then identify the skills required for each. A skills matrix consolidates this into a living view that shows capability across teams, highlights gaps, and updates as people develop. The key is task-level granularity - role-level data isn't detailed enough to be useful.
What's the difference between a skills matrix and a skills audit? A skills audit is typically a one-off exercise - a snapshot of capability at a moment in time. A skills matrix is a continuous, dynamic view that updates as people grow, move roles, or develop new capabilities. Audits go stale. A good skills matrix stays current.
Why do companies struggle with workforce planning? Most workforce planning fails because it's built on job titles and headcount rather than skills and tasks. Without visibility of what people can actually do, planning becomes guesswork. Organisations that shift to skills-based workforce planning - mapping capability against strategic needs - make better decisions about hiring, redeployment, development, and restructuring.
How does AI change the need for skills visibility? AI reshapes tasks within roles - automating some, augmenting others, and making certain human skills more important. But even before AI enters the picture, most organisations lack basic visibility of workforce capability. AI makes the urgency greater, but the underlying problem - not knowing what your people can do - exists regardless.
How can I see how AI will impact specific roles in my organisation? Our free AI Impact Assessment analyses any role at the task level, showing which tasks AI will likely automate, assist with, or leave to humans. It gives individuals clarity on their own role and gives HR leaders the data foundation for workforce planning.
What's the ROI of investing in skills visibility? Organisations with skills-based approaches are 57% more likely to respond effectively to change and 63% more likely to meet business goals. The financial case includes reduced external hiring costs (external hires carry a 28% salary premium over internal moves), faster project resourcing, better retention, and more targeted development spend.
Stop guessing. Start seeing.
The absurdity ends when skills are visible and work is understood.
It doesn't matter whether your immediate priority is AI transformation, project delivery, succession planning, or simply retaining the people you've spent years developing. It all comes back to the same thing: if you can't see what your people can do, you're flying blind.
You wouldn't run your finances that way. You wouldn't run your customer strategy that way. Why are you running your most expensive and most important asset that way?
See your skills - Skills Matrix gives you real-time visibility of workforce capability across your organisation.
Understand the work - AI Impact Assessment breaks any role down to its tasks, whether you're planning for AI or just need to understand what people actually do.
Guide your people - AI Career Coach gives employees personalised, realistic career guidance connected to what the organisation actually needs.
Because every organisation has more capability than it can see. The question is whether you'll find it before it finds the door.
Helena Turpin spent 20 years in talent and HR innovation where she solved people-related problems using data and technology. She left corporate life to create GoFIGR where she helps mid-sized organizations to develop and retain their people by connecting employee skills and aspirations to internal opportunities like projects, mentorship and learning.
