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OpenSesame Case Study

Large Enterprise Hospitality Company leverages online learning to create new training programs

Introduction

This case study of a large enterprise hospitality company is based on a July 2017 survey of OpenSesame customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

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“It helped our team in the design of new programs.”

Challenges

The business challenges that led the profiled company to evaluate and ultimately select OpenSesame:

  • Faced the following challenges when providing online training to learners at their company:
    • Low completion rates
    • Seeing a return on training or higher performance after training
    • Using a learning management system (LMS)
  • Offered 101-500 training courses to their learners prior to using OpenSesame.

Results

The surveyed company achieved the following results with OpenSesame:

  • Able to offer 0-100 training courses to their learners after purchasing OpenSesame.
  • Able to train 26-50% more employees after purchasing OpenSesame.
  • Created 11-20 new training tracks or programs after using OpenSesame.

Company Profile

The company featured in this case study asked to have its name publicly blinded because publicly endorsing vendors is against their policies.

TechValidate stands behind the authenticity of this data.

Company Size:
Large Enterprise

Industry:
Hospitality

About OpenSesame

Leading organizations depend on OpenSesame to train millions of employees. An entirely new and better way—easier, more economical, with less risk—to access the best on-­demand training. With thousands of business, safety, technology, and compliance courses, OpenSesame helps train organizations of any size.

Learn More:

OpenSesame

Source: TechValidate survey of a Large Enterprise Hospitality Company
Validated
  Published: Jul. 19, 2017   TVID: 92E-2A7-7A4




About This Data

This data was sourced directly from verified users of OpenSesame by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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