Introducing: AI Impact Module
As organizations rush to adopt AI, a critical question often goes unanswered: what is it actually doing to your people? HeartCount’s AI Impact Module helps you find out.
The module measures AI readiness, adoption levels, and the real impact AI tools have on employees – across their daily work, team dynamics, and overall experience.
It’s available as part of your existing paid subscription, or as a standalone module. To activate it, contact our support team (available within the app).
What the AI Impact Module measures
The module goes beyond simple usage tracking. It captures three layers of insight:
Metrics give you a high-level snapshot of your organization’s overall AI state – AI Pulse, AI Threat, and AI Experience – which you can benchmark over time as AI adoption evolves.
Dimensions are umbrella indicators shaped by multiple underlying categories. The three dimensions are Competence, Collaboration, and Initiative.
Categories are the business-specific aspects of AI adoption that matter most for individuals and organizations: Fatigue, Adoption, Culture, Leadership, Strategy, and Efficiency.
| INSIGHT | WHAT IT MEASURES |
| AI Pulse | Overall AI-related sentiment/health across the organization. |
| AI Threat | Percentage and number of employees who perceive AI as a threat to their job security at the organizational level. |
| AI Experience | Percentage of respondents who selected positive answers (ratings 4 or 5) out of the total number of received responses. |
| Competence | Employees’ inner sense of self-confidence, expertise, and worth. A high score indicates that the person feels confident in their knowledge, sees the purpose of AI tools in their position, and feels that their critical thinking is valued. |
| Collaboration | Team dynamics and synergy. It shows how well the team functions as a whole in the AI era – whether they openly share tricks and experiences, whether they learn from each other, and whether the leader successfully integrates AI into the team spirit. |
| Initiative | Inner curiosity and proactive behavior. Employees scoring high on this dimension do not wait to be told what to do; they explore new tools on their own, are motivated to solve problems, and see learning as the key to their success. |
| Fatigue | This is a scale that measures negative aspects. But for easier interpretation, a low score is an alarm. It points out that employees feel overwhelmed by the mental strain of correcting mistakes made by AI, the pressure to constantly prove productivity, or fear for their workplace. |
| Adoption | Employees’ personal motivation and their recognition of the value of AI tools. A high score in this category means that employees see AI as an opportunity for professional development and improving their work, rather than as an imposed obligation. |
| Culture | Transparency of the company and the existence of shared values. It focuses on whether employees receive feedback about their work with the AI tool, whether they know how their role is changing, and whether there are clear ethical boundaries for the use of technology within the team. |
| Leadership | Extent to which line managers lead by example, clearly communicate goals and recognize the effort employees invest in learning. Managers are a key bridge in this transformation – a high score here means the team has strong support “from above.” |
| Strategy | How well the company itself has provided the “infrastructure” for success. These include clearly defined policies and guidelines, easy availability of AI tools, and the quality of training provided by the firm. It also measures whether human critical thinking is still valued. |
| Efficiency | Real use value of AI in practice. It measures whether the tools really improve the quality of work, how confident employees are while using them, and whether the team successfully balances individual work with AI and shared goals. |
Besides these, HeartCount’s AI Impact Module helps you collect usage and demographic data.
Usage data captures the types and frequencies of AI tools employees use, giving you a practical view of how AI is actually used day-to-day.
Demographic data provides the lens through which employee insights gain real meaning. By segmenting your workforce – by age, education, tenure, or experience – you move from raw numbers to conclusions that actually inform decisions.
Setting up the AI Impact survey
The fastest way to get started is through the Template Gallery, where HeartCount’s pre-defined AI Impact survey is ready to launch in a few steps.
Here are the steps to create an AI Impact Survey (video below):
1. Basic setup: Set your survey title, subject, and description. You can also enable anonymity – if left disabled, you’ll be able to see how each employee responded to each question.
2. Recipients: Choose which teams or individual employees will receive the survey.
3. Demographic data (optional): Define custom ranges for employee attributes that will act as filters in the report – age group, years of experience, years at the company, education level, role level, and location.
4. Usage questions (optional): Customize which usage questions to include and whether they’re required or optional. These cover:
- Frequency of AI tool use
- Weekly time spent using AI
- Types of tasks done with AI assistance (multi-choice)
- Time saved per week
- Which specific AI tools employees use (multi-choice)
5. Pre-defined questions: HeartCount’s core AI Impact questions can be defined as:
- Single-select (Likert scale)
- Multi-select
- Open question
These questions can be changed and adjusted. But at least one has to examine the AI Pulse metric.
6. Schedule: Send the survey immediately or schedule it for a later time.
Before launching, you’ll get a full preview of the survey – including recipients, anonymity settings, and all selected questions.
💡Note: To allow employees to respond to the AI survey more than once, enable multiple responses in Company Settings. You can also create multiple surveys for different teams or purposes and save them as company templates for future use.
Analyzing results in the AI Impact Report
Once responses are collected, the AI Impact Report becomes available with two tabs.
Survey Overview shows the overall response rate and a summary of results across AI Pulse, AI Threat, AI Experience, Dimensions, and Categories.
Each section includes guidelines to help you interpret what the scores mean. Results can be filtered by team and demographic data.
Export this tab as a PDF to keep an internal record or share with stakeholders outside HeartCount.
Employee Answers provides a full breakdown of every question, what it measures, and how employees responded. In anonymous surveys, responses are visible per question but not tied to specific individuals.
Export this tab as .xlsx for internal records or to share with someone who doesn’t have access to HeartCount.
See the real impact of AI on your people – start with the AI Impact Module today.
