A shared view of stakeholder feedback
A competition makes excellence visible. Understanding what it changes requires evidence that continues after the final task, the medal ceremony, and the journey home.
WorldSkills International brings a global skills movement together through competitions, education, industry, and its Member network. Its public mission puts skilled people and their contribution to economic growth and personal success at the centre.
The question after the applause
What happens next for a competitor? What do educators take back to their institutions? How do partners and Members turn an international event into lasting opportunity?
Those questions cross countries, languages, stakeholder groups, and time. When responses sit in separate forms and files, each new question can become another exercise in finding, translating, and reconciling evidence.
The WorldSkills engagement with Sopact focuses on designing a shared data foundation that makes these questions easier to investigate. The work described here is at the planning and design stage.
One evidence loop across a global movement
The proposed approach brings multilingual feedback, structured responses, and supporting material into a connected working record. It is intended to support both the immediate learning around an event and the longer view of what changes afterward.
- Collect in context. Bring feedback from different groups and languages together with the context needed to interpret it.
- Connect across time. Keep follow-up evidence related to earlier responses where consent and appropriate access allow.
- Understand the full picture. Read patterns in numbers alongside the explanations in people’s own words.
- Act and learn again. Use the evidence to inform the next programme, Member conversation, or event cycle.
Ask the next question without starting over
A fixed report answers the questions chosen when it was written. A connected dataset gives teams a foundation for asking what they need to know next.
For WorldSkills, that means designing for questions that span stakeholder experience and longer-term change: where experiences differ, what people say helped them, and what later feedback adds to the original picture.
Sopact’s AI-assisted approach is intended to help organize and interpret open-ended feedback alongside structured data. Source context and human review remain essential when turning a pattern into a finding or a decision.
A shared view that respects local context
A global overview is most useful when the people contributing evidence can learn from it too. The design aims to support a common view across the network while preserving the context of individual Members and stakeholder groups.
Shared definitions, appropriate access, and traceable evidence are central to that approach. They help teams compare meaningfully and understand the limits of a conclusion.
Designed for the work beyond the event
The intended value is cumulative: each collection cycle adds context that the next one can use. Event feedback can inform improvement, follow-up can reveal change over time, and the Member network can draw on a more coherent evidence base.
This case study describes the engagement’s direction, rather than completed deployment results. It includes no private survey instruments, internal timelines, commercial terms, or participant records.
Explore how Sopact connects training and participant journeys · Discuss your data-collection workflow
Hero photograph: WorldSkills International, WorldSkills Lyon 2024 closing ceremony. Event photography illustrates the WorldSkills community; it does not depict a Sopact implementation.
