Supernova Award Category

Future of Work: Employee Experience

The Problem

Based on research conducted by multiple companies, one of the main reason why employees are leaving their job is the inadequate onboarding and training offered by the company. There is a 40% higher probability that employees will leave the company within one year if they are not trained or onboarded properly.

Many companies are doing onboarding just in the form of classical workshops that are, unfortunately, extremely inefficient. It is proven that up to 70% of information from such training is forgotten within same day and 90% within one week. The process of onboarding a new employee is, according to companies like Linkedin, the most important role of the HR department, and it is extremely important to implement it correctly. Only a company that has an effective onboarding process can become the market leader.

insufficient training makes employees in companies frustrated, less efficient and increases the leaving rate in the company.

The Solution

YesElf is a powerful platform for providing step-by-step walkthroughs for any enterprise software (like ERP, CRM or HCM) which makes employees more efficient without any additional personal training. We are changing the future of the online user onboarding, engagement and the adoption of the digital products. Our interactive guidance dramatically improves employee satisfaction, boosts their productivity and reduces support and training costs by double digit number.

The results

Traditional training methods are not working well in the terms of using enterprise software. Most effective way for helping employees with using the enterprise software so far was phone support. Besides the extremely costly solution employees tends to use support only in case real emergency problems. Now in the era of machine learning and artificial intelligence we can analyze user behavior and predict users intention. This is the revolution in the digital adoption process and can automatically identify whether employee struggles while using the enterprise software and propose him the best solution.

This wasn’t possible before, because of the technology limitations, integration to the any web solution.

YesElf can be integrated into any web based or mobile application supporting various technologies and internet browsers. Now we can cover most functional use cases for user onboarding needs which can guide employees and learn them how to use software in a efficient way but this is only chassis for our Lamborghini. The true differentiator is using of this complex platform ruled by data coming from user data analysis and the AI driven triggers, which allows us to use onboarding and training towards user needs.

Based on previous use cases, the customer can:

Reduce employee training costs by more than 50%

Reduce support costs by double digit number

Increase goal conversion by 9%

Increase employee productivity

Metrics

We started our sales at the end of the 2017 so we can compare 2017 and 2018 (estimated) only.

Turnover (2017 vs 2018): 2574 Eur vs 88000 Eur (3400% increase)

# Customers (2017 vs 2018): 3 vs 17

Team size (2017 vs 2018): 5 vs 10

CAC (Customer Acquisition Cost): 24% decrease from 2017 to 2018

The Technology

CouchBase, Elasticsearch, HTML, CSS, Javascript, Android, iOS, React.js, Docker, Nginx, OAuth2 JWT, IAM, Node.js, CloudFlare, Kibana, Machine learning - features, Jupyter Notebooks, API GateWay (Tyk), Ansible, Segment

Disruptive Factor

YesElf is a unique concept in few  parts.

1.In the initial phase, YesElf can understand how the software application is used. This, based on learning algorithms, can be taught by a domain expert to monitor the work of an expert with the software solution and to collect data on how is the application used.This data is then used to create guides that will accompany the user in the application,help him to learn the basics of the application, eliminate inefficient training, significantly reduce the cost of employee training.

2. YesElf has an amazing analytical module that analyzes user behavior in the software application, and proactively, based on Big Data, evaluates the state when the user is confused in the application and  has trouble using it. For this purpose, learned behavioral patterns from the initial phase of the project are used when looking at deviations of user behavior towards ideal domain expert behavior. The correct timing of identifying when a user has a problem with using the application guarantees success in addressing usability issues.

3. Another innovation is the recommendation module that aims form of personalization and contextual help is unique and can greatly increase employee's productivity while working with the daily application.

4. The fourth and last innovation is that YesElf can be integrated into any web or mobile app.

Shining Moment

At the moment we have 10 paying customers with more than 300 000 active users from the europe. Our biggest clients are - Škoda, Kiwi.com, Firotour, large banks from Slovakia, Systemair, Coop jednota, and lot more smaller companies.

We cooperate with Faculty of Informatics and Information Technologies of STU in the field of AI and machine learning development with mentoring of prof. Bielikova - one of the expert in High-Level Expert Group on Artificial Intelligence Part EU