Flow Engagement (formerly TalentTech.Engagement)

Flow Engagement (formerly TalentTech.Engagement) is a system for assessing and managing employee engagement through surveys.

2024: YandexGPT Integration

On July 1, 2024, HRTech the company TalentTech announced the launch of a generative network YandexGPT in the Stream Engagement product.

As reported, Potok uses YandexGPT technologies to analyze engagement survey results. A virtual analyst based on a generative language model automates the analysis of engagement research data, freeing HR specialists and managers from the routine work with a large number of indices. Now they receive a one-click summary of the results with explanations and a detailed action plan to increase engagement.

According to the analytical department of Potok, for a company of about 1000 employees, manual processing of survey results by HR specialists will cost 630 man-hours and about 840,000 rubles. After the introduction of AI into the analysis, costs are reduced and amount to 91 hours of work and 121,000 rubles. Team costs are reduced by up to 7 times, and work time from 3-4 months to 2-3 weeks.

source = "Stream"

YandexGPT neural network functions in Flow Engagement:

• Analysis of more than 20 engagement factors, taking into account historical and current company data. It highlights key "subsidence factors" and "growth drivers," provides a clear understanding of the situation and recommendations for optimizing engagement. Also identifies 6-9 priority factors, ranking them by importance to focus on top issues and get ready-made insights.
• Processing open comments, where GPT takes into account their tonality and ranks them by relevant topics. The HR specialist downloads a list of topics that require objective feedback from employees to make the analysis process even better. The number of topics is not limited, which allows you to get the necessary information for making effective management decisions. For example, if you have a change in management, you can add questions to the questionnaire to assess the level of comfort of employees in other conditions. There are also lists of methodological topics that can be further analyzed taking into account specific factors of the company.
• Develop action plan for HR specialist. AI forms a plan where it offers specific measures and examples of using the mentoring program from world HR practice to change the situation with increasing employee motivation. Also, YandexGPT, out of a thousand responses, identifies the popular topics that most often arose. Thanks to this, HR specialists and managers understand what should be paid attention to in the first place.

GPT analytics revolutionize engagement surveys by offering a fundamentally different approach to HR data processing. Through Flow Engagement, you can get ready-made insights, individual recommendations and clear actions to increase employee engagement by identifying hidden links and patterns in data. told Sergey Akhmetov, CEO of HRtech-company "Potok"

The development of our products in the field of generative models does not stop, for June 2024 we design and analyze solutions in the field of real-time interaction with our users in analytics, which will take on even more routine, which is easy to automate in the field of development and evaluation of personnel. told Vadim Ragozin, head of the Development product area of ​ ​ the HRtech company Potok

2020: About the TalentTech.Engagement platform

The TalentTech.Engagement platform allows you to analyze the mood and degree of involvement in the work of the company's employees based on the results of surveys. At the same time, the online platform not only shows the percentage of respondents, but also calculates comprehensive performance indicators for a combination of several factors (Data for May 2020).