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.
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.
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.