swedish-multinational-case-study-competency-mapping-next-gen-skills

A leading IT services company matched the right resources with the right projects

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“Partnering with iMocha has helped us identify the right skill meter for our employees. The results are great - we have got the perfect assessments for RPA and the skill meter has helped us create a baseline to assess future employees for RPA.”

VP,

Human Resources
Customer at a glance

A Swedish multinational, one of the leading providers of Information and Communication Technology, enables its customers to leverage the full value of connectivity by creating game-changing technology and services that are easy to use, adopt, and scale.

Headquarters: Stockholm, Sweden

Global Presence: 180 countries

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Employees:

100,000+

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Established:

1876

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Industry:

Information & Communication Technology

iMocha products used

Talent Development

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Skill Assessment Consulting

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the challenges
The main goal was to identify skill gaps between current competency levels of employees and project requirements in RPA technology.
The challenge

The key challenges were:

  • Lack of assessments on RPA (Robotic Process Automation) skills
  • Matching the right resources for projects
  • Traditional process for competency assessments

Blue Prism is a trending RPA (Robotic Process Automation) software used by the company. The customer required employees having various skill levels in Blue Prism for their various projects. However, in absence of a skill meter, it was difficult to identify the right resources for the project. This hampered resource selection for various projects, leading to delays and slippages. The company wanted to understand the competency levels of their employees.

The company partnered with iMocha to conduct a competency audit for its employees.

One of the features that appealed to them was 'own question uploads'. It already had a

few RPA skill questions in their repository. However, when iMocha’s customer success manager

had a review meeting, it was discovered that these were not the latest questions. iMocha

provided the latest Blue Prism questions. The company created assessments using their own

and iMocha questions. This empowered it to customize the test to suit their requirements.

It created a Blue Prism test comprising of different skills. The results helped bucket

its employees into:

  • Beginner
  • Intermediate
  • Experienced
  • Proficient

Once this was clear, it became a lot easier to assign employees for various projects. The biggest

gain from this was matching the right skills with the right projects. The competency assessments

were now digitalized, which meant that there were almost zero manual efforts and elimination of

human bias as well. The skill meters further helped them design a training program to upskill their

employees.

  • During one of the weekly calls with Capgemini, our customer success team dived into their University Hiring strategy.
  • During one of the weekly calls with Capgemini, our customer success team dived into their University Hiring strategy.
  • During one of the weekly calls with Capgemini, our customer success team dived into their University Hiring strategy.
  • During one of the weekly calls with Capgemini, our customer success team dived into their University Hiring strategy.

Step by step explanation of the workflow:

  • They did not have a large recruitment team that could reach out to these universities across the USA to participate in career fairs and interact with the students. This hampered their recruitment roadmap.
  • However, more important was the lack of technical resources to evaluate candidates who applied for this role.
  • They did not have a large recruitment team that could reach out to these universities across the USA to participate in career fairs and interact with the students. This hampered their recruitment roadmap.

The result
the result

The leading IT services company was able to create a competency meter for a niche skill like RPA. It improved handling of projects by effective resource management. Project allocations were unbiased. Further there was reduction of manual efforts and time in competency evaluation. With the success of competency mapping, it is planning to use iMocha for recruitment as well. It wants to use the average scores of their employees as a baseline to screen future candidates.

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