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The knowledge that walks out your door every friday

The knowledge that walks out your door every friday

Nearly 40% of Swiss companies have no real plan to protect what their best people know. Retirements are accelerating. Roles are changing fast. And most organisations are still hoping the knowledge will somehow stick around on its own.

Picture your most experienced team member walking out the door for the last time. Now ask yourself: where does their knowledge actually live? Is it written down anywhere? Can someone else do what they do? Does anyone even know everything they know?

For most companies in Switzerland — whether you’re in Geneva, Zurich, or anywhere in between — the honest answer is: no. That knowledge lives in one person’s head. And when they leave, it goes with them.

  • 40% of Swiss companies have no strategy to protect critical knowledge (OFS, 2023)
  •  faster role evolution than a decade ago, driven by digitisation and AI
  • 70% of what people know at work is never written down or recorded

Most managers know knowledge transfer matters. The problem is what they do about it. Usually: a handover document, a few weeks of shadowing, a shared folder. Then the person leaves — and three months later everyone is scrambling to find information that no longer exists anywhere.

The real issue is that organisations treat knowledge transfer as a logistical problem, when it is actually a teaching problem. And teaching is a skill. One that most people doing it inside companies have never been trained for.

Ask yourself:

When a key person leaves your team, what is your actual plan for keeping what they know? A farewell lunch and a handover email is not a plan.

Explaining something clearly is not the same as teaching it

Here is the first mistake most companies make: they think that if someone explains something well, the knowledge has been passed on. It hasn’t. Research from the University of Geneva’s Institute for Educational Sciences shows that learning is far more complicated than that.

Knowledge doesn’t transfer like a file being copied from one computer to another. The person receiving it has to build it themselves — using their own experience, their own context, their own understanding. A great expert is not automatically a great teacher. What actually makes the difference is how well you listen, check for understanding, and adjust how you explain things. These are skills. And like any skill, they can be learned — but only if someone actually teaches them.

The gap between what an expert knows and what a junior understands is not closed by more explanation. It is closed by better conversation.

There are also hidden emotional barriers that nobody talks about. A junior employee who is afraid of looking stupid will not ask questions. A senior employee who worries about becoming replaceable may hold back — without even realising it. These are not personal failures. They are predictable human dynamics. And they can be addressed — but only if you design your knowledge transfer process with them in mind.

A group can speed up learning — or completely block it

Most training in Swiss companies happens in groups. And groups are unpredictable. Put the right people together with a skilled facilitator, and learning accelerates. Put the wrong dynamic in a room with no structure, and people shut down — even if the content is excellent.

Research from Piaget, Vygotsky, and Kolb all point to the same thing: people learn faster and remember more when they learn with others — through discussion, challenge, and shared experience. But this only works when the group is well managed. When it isn’t, the opposite happens.

Ask yourself:

Who runs your internal training sessions? Are they trained facilitators — or just the most senior person who happened to be available?

When one or two people dominate the room, the others stop participating. When the hierarchy is too visible, people don’t ask real questions. A good facilitator knows how to manage all of this — the pace, the personalities, the silences. It takes practice. It takes awareness. And it makes an enormous difference to what people actually take away.

Adults don’t learn the same way children do. Most training ignores this.

Adults need a reason to learn something before they can absorb it. They need to connect new information to what they already know. They need to feel that their experience counts — not that they are starting from zero. This is the core idea behind andragogy, a concept developed by Malcolm Knowles in the 1970s that has become the foundation of adult learning design.

Ignore this, and here is what happens: the person sits through the training, nods politely, and changes nothing. Not because they are lazy — but because the training wasn’t designed for how adults actually learn. The content may have been perfectly good. The delivery may have been clear. But if the learner couldn’t see why it mattered to them personally, it simply didn’t land.

Ask yourself:

Does your internal training start with what the learner already knows — and why this topic matters to them? Or does it start with what the trainer wants to say?

People don’t learn by watching. They learn by doing.

The biggest myth in corporate training: if you explain it well enough, people will remember it. They won’t. The forgetting curve, discovered by psychologist Hermann Ebbinghaus, shows that adults forget up to 70% of what they hear within 24 hours — unless they actively use it.

Role play, real case studies, practice, peer teaching, hands-on exercises — these are not just nice extras. They are how learning actually sticks. Kolb’s learning cycle — experience something, reflect on it, understand it, try it again — gives any trainer a simple structure that works for almost any topic. The implication is straightforward: if your knowledge transfer sessions are mostly people talking at a screen, they are probably not working as well as you think.

A happy feedback form is not proof that anything was learned

Most organisations measure training with a quick satisfaction survey at the end. “Was the trainer clear? Was the room comfortable?” That tells you almost nothing useful.

The Kirkpatrick model — the most widely used evaluation framework in professional training — measures four things: did people like it, did they learn something, did they change their behaviour, and did it produce results? Most Swiss companies only check the first one. Almost none check the third or fourth — which are the only ones that tell you whether the training actually worked. The OECD’s 2024 review of Switzerland highlights this gap directly, calling for stronger competency frameworks as automation reshapes the workforce.

Ask yourself:

Three months after your last internal training, did anyone check whether people were actually doing things differently? If not — how do you know it worked?

Four things that actually make knowledge transfer work
  • 01
    Teach people how to communicate, not just what to say Give your internal trainers real tools: how to check for understanding, how to adjust their explanation on the fly, how to ask questions that reveal what someone has and hasn’t grasped. Don’t assume that being good at something means being good at explaining it.
  • 02
    Train people to run groups, not just present to them Facilitation is its own skill. It means managing pace, drawing out quiet voices, handling disagreement, and noticing when the group has switched off. The person running the session needs to manage the room as much as the content.
  • 03
    Design training for the person learning, not the person teaching Start with what people already know. Make the “why” clear before the “what.” Keep sessions short enough to stay focused. Build in time to practice. The best internal training feels relevant from the first five minutes — not like something imposed from above.
  • 04
    Measure whether behaviour changed, not whether people smiled Go back three months later. Are people doing things differently? Is the knowledge actually being used? If you can’t answer that, you don’t know whether the transfer happened. Evaluation is not a formality — it is the only honest way to know if any of this worked.
This is not an HR problem. It’s a business risk.

Baby boomers are retiring across Switzerland — taking with them knowledge built over 30 or 40 years. At the same time, AI and digital tools are reshaping what jobs look like faster than most companies can keep up. In Geneva, Vaud, Zurich, and beyond — this is not something coming. It is already happening.

Companies that build a real system for transferring knowledge internally will have a serious advantage. The skills needed to do this well — communicating, facilitating, designing for adult learners, evaluating honestly — are not rare or complicated. They just need to be taken seriously and properly developed.

The question isn’t whether your organisation values knowledge. It’s whether you’ve built something that actually moves it from one person to the next.

The companies that will win over the next decade are not the ones with the smartest people. They are the ones who figured out how to pass that knowledge on.

Want to build this capability inside your organisation?

Swissnova’s Train the Trainer programme is available iacross Switzerland. It gives your people the communication, facilitation and evaluation skills to turn what your experts know into something your whole organisation can use.

Discover the programme →

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  • Switzerland
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  • Knowledge Management

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Recruiting in the age of invisible skills: how to spot what really matters

Recruiting in the age of invisible skills: how to spot what really matters

How do you evaluate what you cannot see? In today’s job market, recruiting for invisible skills—like adaptability, discernment, and emotional intelligence—has become a central challenge. Traditional credentials no longer guarantee a fit. So how can HR and hiring managers identify what truly matters?

This article explores how recruitment must evolve—methodologically, ethically, and strategically—to meet the demands of today’s fragmented careers and rising expectations.

The end of standard career paths?

Traditional indicators—degrees, years of experience, employer prestige—are losing predictive value. In SMEs, startups, and innovation-driven sectors, candidates bring diverse and unconventional profiles.

Rather than filter out non-traditional candidates, smart hiring practices recognize the value of hybrid experiences. For instance, long-term NGO professionals or self-taught developers often demonstrate key traits: problem-solving, adaptability, contextual intelligence.

Behavioral skills: the new benchmark

The World Economic Forum highlights emotional intelligence, complex problem-solving, and cognitive flexibility as essential future skills. Yet few recruitment tools reliably assess these in structured ways.

Key challenges:

  • Defining soft skills tailored to organizational context
  • Measuring them without standardized tests

Some Swiss companies have adapted interview protocols post-COVID to focus more on emotional resilience, remote communication, and fast iteration capacity—behavioral traits now essential for performance.

Recruiting: an art or a skill ?

Many hiring decisions are still made on instinct—“I had a good feeling.” But biases (halo effect, similarity bias) often cloud judgment. Neuroscience and behavioral science advise structured methods instead.

How to professionalize recruitment:

  • Define and isolate behavioral from hard skills
  • Use shared evaluation grids between HR and managers
  • Ask targeted, open-ended questions
  • Train teams on cognitive bias
  • Implement post-interview reflection protocols

Filmed role-play interviews, used in recruiter training, help professionals see unconscious behaviors—revealing how posture, tone, or question framing can distort evaluation.

Interviews as tools for qualitative evaluation

A well-structured interview isn’t just procedural—it’s diagnostic. Using unexpected or ambiguous scenarios reveals more than rehearsed answers.

Recommended practices (Harvard Business Review, 2021):

  • Semi-structured interviews with open scenarios
  • Focus on how candidates think and adapt, not just what they know
  • Observe stress responses and reasoning pathways

This approach—validated by Levashina et al. (Journal of Applied Psychology, 2014)—improves predictive accuracy without dehumanizing the process.

Training hiring managers: a strategic gap

Too often, final hiring decisions fall to operational managers without structured interview training. This undermines consistency, fairness, and legal compliance.

Why this matters:

  • Untrained managers often default to “gut feeling”
  • They risk asking inappropriate questions
  • Candidate experience suffers

Workshops using simulations, shared evaluation grids, and role-play interviews can build capacity fast—without overburdening teams. It’s about enabling discernment, not turning managers into HR experts.

Recruiting with fairness: a strategic and ethical duty

Every recruitment decision reflects your employer brand and ethical posture. Inclusive, behavior-aware hiring builds both equity and long-term success.

As HR professionals, the role is not to enforce compliance alone, but to enable high-quality human connections. The invisible skills that matter most require careful attention, structured tools, and genuine curiosity.

Between uncertainty and discernment lies the new frontier of recruiting.

FAQ – invisible skills in recruitment

What are “invisible skills”?

They include adaptability, emotional intelligence, collaborative mindset, and contextual reasoning—traits not visible on a resume but essential in complex environments.

Can behavioral traits be measured?

Not with precision, but they can be revealed through scenario-based interviews, structured observations, and manager training programs.

Why train hiring managers?

Because most hiring errors come from unstructured evaluations. Training reduces bias, improves consistency, and enhances decision quality.

What’s the ROI of better hiring?

Avoiding one poor hire can save 1–1.5x annual salary. It also improves team cohesion, reduces attrition, and strengthens employer brand.

Hiring as discernment, not just selection

Recruiting today requires more than screening. It requires observation, curiosity, and clarity of need. Invisible skills can be surfaced—with the right structure and mindset.

As we rethink hiring, let’s embrace this complexity—not as a burden, but as a strategic opportunity for deeper alignment between people and purpose.


What if HR Were the True Drivers of Change in Business?

What if HR Were the True Drivers of Change in Business?

Recruitment, training, generational shifts, soft skills, digitalization… The challenges are many, but Human Resources today have the opportunity to reinvent their strategic role. In Switzerland, this transformation is already underway — and it often begins with constructive self-reflection. A better-equipped, more conscious HR function can become a decisive lever for organizational growth.

An HR Role in Full Redefinition

For a long time, HR was seen as a support service — ensuring administrative processes and compliance with labor laws. Today, that model is reaching its limits. Current challenges go far beyond compliance: it’s about building a culture, supporting transformation, and bringing a vision to life through talent.

In Switzerland, faced with a shortage of qualified labor, digital transformation, and evolving social expectations, HR must become strategic partners. This requires a new posture: more proactive, more influential, and more connected to human realities.

Recruiting in the Era of Invisible Skills

Recruiting today means navigating uncertainty. Career paths are no longer linear, experiences go beyond resumes, and behavioral competencies often outweigh technical skills.

But how do you detect emotional intelligence, adaptability, or resilience in an interview? How do you avoid confirmation bias? Many recruiters feel alone facing these issues.

A structured approach — based on observation, role plays, and the right questions — helps secure hires while respecting each candidate’s uniqueness. This expertise doesn’t come by chance: it’s developed through practical, directly applicable training.

Teaching Is No Longer Improvised

Technical knowledge alone is no longer enough. In a constantly changing world, effective knowledge transfer is a strategic challenge — to quickly onboard new employees, retain critical know-how, and support internal change.

Yet many experts are suddenly made trainers without pedagogical tools or guidance. The result: uninspiring training sessions where attention drops quickly and real impact is hard to measure.

Learning to become a trainer means acquiring concrete methods to structure a session, engage an audience, and assess learning outcomes. It also requires a mindset shift: more learner-focused, more impact-oriented. In a learning culture, this is a powerful lever for Swiss HR teams.

Generations Y and Z: Challenge or Opportunity?

Intergenerational dialogue can be tricky in the workplace. Younger employees expect flexibility, feedback, autonomy, and purpose. Older colleagues value stability, expertise, and long-term loyalty. Each often thinks the other “doesn’t understand the world of work.”

Rather than oppose these views, we can build an inclusive culture that values complementarities. But this requires deep insight into generational behaviors, needs, and motivational drivers.

Targeted training can help decode these differences, adapt management styles, and foster trust. After all, every generation seeks recognition and usefulness — just in different ways.

Can Digital Tools Support the Human?

HR automation is progressing rapidly: AI-powered sourcing, digital onboarding, performance platforms, LMS for training… These tools are not neutral. Poorly used, they dehumanize; properly integrated, they free time for what really matters.

Yet many HR professionals are still poorly supported in adopting these solutions — or they experience them top-down, through a technocratic lens.

Learning about HR digitalization doesn’t mean becoming a technician. It means understanding the stakes behind the tools, choosing the right ones, and integrating them into a people-centered strategic vision. In Switzerland, where management culture still values human connection, this hybridization is crucial.

Equipping HR Is Equipping the Business

HR training is not an end in itself — it’s a lever for transformation. It gives professionals the tools to navigate uncertainty, better understand the people they support, and contribute actively to business strategy.

In Switzerland, companies that invest in upskilling their HR teams also invest in the sustainability of their culture, the quality of their recruitment, and the smoothness of their internal transitions.

AI IN BUSINESS: THE URGENCY OF A SHARED CULTURE

AI IN BUSINESS: THE URGENCY OF A SHARED CULTURE

Artificial intelligence is reshaping business: why training is no longer optional ?

Artificial intelligence is not a technological revolution on the horizon. It is already here, quietly transforming practices, tools, and professions — sometimes before decision-makers have had time to step back. It is disrupting skill hierarchies, redefining the notion of human added value, and reshuffling the cards of leadership.

Yet in most organizations, the response to this transformation remains largely technical. Solutions are implemented. Tools are tested. But the essential is often overlooked: educating, creating a shared culture, offering support.

And this is not just an issue for developers. AI affects marketing, HR, finance, strategy, middle management… Training becomes a condition for operational clarity, organizational agility, and intellectual sovereignty.

The companies that will survive are not those who adopt AI the fastest, but those who truly understand what it changes — and adapt their skills accordingly.

 

The blind spots of inaction: what is at stake for companies that don’t support their teams?

Adopting AI without training is like giving a Formula 1 car to an untrained driver: you may go fast, but you don’t know where or how to stop.

Here’s what we observe on the ground in companies moving blindly forward:

  1. Poor use of tools: illusory time savings, loss of control, lack of critical thinking. The tool performs, but the disengaged human delegates without understanding.
  2. Flawed managerial judgments: trend-driven strategies, over-equipped but under-analyzed decisions. Without a strong framework, even top leadership loses its bearings.
  3. Ethical deficits: AI replicates data biases. If no one sees them, discriminatory practices are validated.
  4. Legal and compliance risks: GDPR, confidentiality, algorithmic responsibility… Training is also protection.
  5. Demotivation and resistance to change: fear replaces understanding. AI becomes a source of tension instead of a driver for transformation.

Training is not a “nice-to-have.” It’s organizational insurance in the face of systemic shock.

 

What AI training for which profiles? Building a 21st-century business culture

If we agree that training is essential, the next question is: who should be trained, in what, and how?

AI now affects all employees, regardless of hierarchy or function. Beyond professional use, it also shapes our daily lives: how we manage information, relate to work, perceive truth, and navigate digital autonomy. Training in AI also means reinforcing each person’s employability and autonomy in a changing world.

  1. Executives: strategy and governance
    They must understand AI’s impact on business models, value chains, and the role of humans. It’s not about coding — it’s about leading with clarity.
  2. Managers: use cases and team support
    Middle management is key to transformation. They must learn to identify the right tools, create dialogue, and provide reassurance without holding back progress.
  3. Operational roles: autonomy and frameworks
    Tools exist, but without training, usage is often erratic. We need to teach critical skills, ethical reflexes, and concrete best practices.
  4. Employees from all backgrounds: digital culture and civic literacy
    Understanding AI isn’t just about optimizing work. It’s also about talking about it, using it wisely, and integrating it into everyday life. Digital inclusion is a social issue as much as an HR opportunity.

A company ready for AI isn’t one that bought the latest software. It’s an organization where every level understands its role in relation to the machine.

 

Rather than following the current tech enthusiasm, we must take a step back. The challenge of AI isn’t just technical — it’s about shared understanding, the ability to make sense of complex and ambiguous systems.

It’s no longer enough to follow the movement — we must bring mastery, critical distance, and human responsibility to it.
Artificial intelligence is first and foremost a question of organizational culture, not just a technical decision. It’s not a topic for experts alone, but a cross-cutting, societal, and sustainable challenge.

Training today means building a company that can dialogue with its time — staying an actor, not a spectator, of the transformation.
Training, workshops, coaching, simulations: every company has its own path — but all must begin drawing it. So that technology serves culture, and not the other way around.

Want to start the conversation in your organization? Let’s talk.