Discovering and developing hidden tech talent in your team

Published on 3 September 2024 · Last updated on 15 July 2026

discovering tech talent in your team

TL;DR (too long; didn't read)

The shift from manual to technical work is a human, not a technical, challenge. Identify hidden potential by looking for 'tinkerers' and 'problem-solvers' through observation and micro-challenges. Then create step-by-step, people-centred learning paths that take away fear, build self-confidence and end in new, recognised roles. That is how your current staff become the engine of your digital transformation.

Introduction

The transition from familiar, physical work to abstract, technical work is one of the greatest challenges in modern industry. Its success depends less on the technology and more on psychology, trust and offering opportunities. The key does not lie in replacing your staff, but in seeing their untapped potential. They possess deep, tacit knowledge of your processes that is irreplaceable. This article offers a practical, two-part approach to unlock this potential and create clear transition paths.

Part 1: Identify hidden potential by looking beyond the job title

The person who will excel at maintaining a robotic arm may not be your traditional 'star performer'. You have to look for underlying aptitude and mindsets. Instruct your front-line managers to look for specific, observable behaviour that points to technical potential.

Go on a 'talent safari' and look for these profiles:

  • The tinkerer: Who tries to figure out a machine themselves when it breaks down, even before calling the maintenance department? This is your future maintenance technician or robotics specialist.
  • The informal process optimiser: Who comes up with a smarter way to stack a pallet or organise a workstation? This is your future process analyst or automation coordinator.
  • The go-to explainer: Who do new employees turn to with their questions? This person has mentoring skills and a deep understanding of the 'why'. This is your future technical trainer.
  • The calm problem-solver: Who stays calm when things go wrong and focuses on a solution instead of on blame? This is your future control-room operator or diagnostic expert.

In addition, create low-threshold 'micro-challenges' to activate potential. Put up a chart with a question about production figures ('the data puzzle') to spot analytical talent. Organise a 'what if' session about new technology to find critical thinkers. Or place a tablet with new software in the break room ('the tech petting zoo') and observe who is naturally drawn to it.

Part 2: Create clear and people-centred development paths

Once you have identified potential, the next step is building a bridge to the new role. The path must be gradual and supportive, and take away the fear of the unknown.

Start by demystifying the future. Frame new roles in familiar terms. Do not say: 'You're going to become a data analyst', but: 'We're going to teach you how to see the 'feel' you have for a machine reflected in data.' Organise shadowing days ('a day in the life of') so that employees see that technicians and engineers are also just people and that the work is understandable.

Then build a step-by-step learning path that builds self-confidence:

  • Phase 1: Basic skills. Start with the absolute basics: digital literacy (using a tablet, email, Teams) and simple problem-solving frameworks such as the '5 Whys'. This creates a safe, judgement-free learning environment.
  • Phase 2: The apprenticeship model. Pair the employee with a technical expert. Use the 'I do, We do, You do' method: the mentor demonstrates, then they do it together, and finally the apprentice does it themselves with the mentor as coach. Give access to a 'sandbox' environment where making mistakes is called 'learning'.
  • Phase 3: Official recognition. Make it concrete with internal certifications (e.g. 'Robot Operator Level 1') linked to pay rises. Create new job titles such as 'Process Automation Technician'. This gives not only a new task, but also a new professional identity.

A real-world example: the transformation from fitter to automation leader

A German car manufacturer identified Klaus, an experienced line worker known for making his own tools (a classic 'tinkerer'). Instead of making him redundant, they created a path. He visited a robotics trade fair, followed a six-month learning path with a technician, and ultimately helped to write the work instructions for his colleagues himself. Klaus was promoted to 'Automation Cell Lead', received a pay rise and became the biggest advocate for the change on the shop floor.


Your immediate action points

Observe your shop floor with fresh eyes: do not look for the fastest worker, but for the smartest problem-solver, the 'tinkerer' and the natural mentor.

Create low-threshold 'micro-challenges' such as a data puzzle or a 'tech petting zoo' to see who shows natural aptitude and curiosity.

Take away the fear of the unknown by 'translating' new roles into familiar concepts and by organising shadowing days.

Build a step-by-step learning path: start with basic digital skills, move on to a mentor-apprentice model and make it official with internal certificates and new job titles.

Remember that your existing staff are your greatest asset. Investing in their potential builds loyalty, resilience and a sustainable future for your organisation.


We excel at guiding organisations through change, with a focus on the human factor. Feel free to get in touch whenever you'd like to exchange ideas about the potential within your team.
Stefaan Compernol

Stefaan Compernol

Change expert and co-founder of SANGOO

Stefaan Compernol is a psychologist and co-founder of Sangoo/Alveare with over 25 years of experience in change management. By combining strong business insight with a deep understanding of team dynamics, he specialises in the human factor of organisational change and delivers creative, emotionally intelligent solutions for successful transformations.

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