The problem
In many companies, upskilling means a course and a certificate. Employees watch videos, read materials, and pass a test. They return to their desks with new knowledge, but little changes at work.
When they face the real task, they still get stuck. A course cannot answer the specific questions that come up in a real project. Without someone to guide them through the first try, they often go back to their old way of working.
How organizations usually handle it
Organisations usually handle this by buying more training platforms or longer courses. These give people a broad overview, but they leave employees alone exactly when they need to apply what they learned.
How mentoring solves it
Mentoring means an experienced person meets one colleague regularly, over months, with a clear goal. Here, the mentor is someone who uses the target skill every day. They guide the learner through real work.
First the learner watches, then they do it together, and finally the mentor watches the learner do it alone. Because they meet regularly, the mentor can answer small questions before they become roadblocks, building real confidence.
How it works on Mentornity
Matching the right skills
Employees apply through your forms. Mentornity AI and your matching rules propose a mentor with the right skills for each person. Your team approves every match in one click.
Booking without emails
Mentors set their free hours once, repeating every week. Employees book a slot themselves, and both get a calendar invitation with the meeting link.
Tracking the progress
Each month, employees score four areas from zero to ten: goals, way of working, being heard, and progress. The same questions at the start and the end show how they improve.
Reminders on their own
The evening before, everyone gets a summary of the next day's meetings. After each meeting, a reminder asks them to leave feedback.
Or a mentor pool, with rules
Not every program needs fixed matches. In a pool program, mentors open their free hours and employees book them themselves. Rules still decide who sees whom: for example, an engineer sees only mentors from other departments.
What you can measure
Your team sees every booked and completed meeting in one list.
You see the monthly check-in scores for goals and progress to know if the skill is improving.
A list shows who has not met for thirty days, and Mentornity AI suggests an email to check in.
Questions
Do we need to manually match every employee?
No. Mentornity AI and your matching rules propose the right mentor for each person based on their application forms. Your team approves every match in one click.
How do we know if the mentoring is working?
Each month, employees score their progress and goals from zero to ten. The same questions at the start and the end show how confident they feel doing the task alone.
What happens if an employee and mentor stop meeting?
Your team sees a list of matches that have not met for thirty days. Mentornity AI suggests an email you can send to help them get back on track.