- Weekly active users
- 71%
- Prompts this month
- 184,000
- Training completed
- 64%
AI adoption is up. Is productivity?
Licenses, prompts, and tokens show usage. HappySignals shows who's getting value, so you can scale what works and prove the impact to the business.
A decision
Customer service. They have the licences and use them, but say AI adds steps to their day. Start with the two tasks they named.
Illustrative data.
Find out who AI is really working for.
Somewhere in your company, AI is already working. Here are seven ways to find where, learn why, and scale it.
The whole story behind the experience
Usage data says who logged in, how many prompts were sent, and how many tokens were spent. Add experience and employee data, and you'll see how each AI tool works for the people using it.
What should we improve to make you happier?
You may select more than one option
Validated surveys and benchmarks
Research-backed questions and over a decade of experience data mean you don't have to invent your own. And with our benchmarking data, you can compare your organization with others to understand what good looks like.
Consistently high response rates
Designed for people to express how they feel, including those who quietly stopped using AI. You hear the whole workforce, not just the enthusiasts. Results are more representative, more trustworthy, and usable for analytics.
Experience by user segment
Your best AI story is already happening somewhere. See which roles, functions, and locations get value, and which need support.
Your AI experience advisor
Just ask. Our AI draws on over a decade of experience, insights, and millions of responses to surface themes, generate reports, and answer hard questions in seconds. No analysts, training, or waiting. Anyone on your team can be the expert from day one.
Productivity and efficiency impact
Do your employees feel AI is saving them time and raising the quality of their work? Or are some groups still waiting to see the benefits? Capture employee-reported efficiency by role, team, and location.
Ready to deploy
Designed to go live fast, without turning experience measurement into a long survey design, integration, and reporting project. Proven methodology, ready-made surveys, benchmarks, certified integrations, and immediate value from day one.
Usage tells you who logged in. Not who got better at their job.
The top 10% of enterprise spenders invest about €3,000 per employee a year into AI. Are your people getting the value? License reports and token counts show activity. They can't show whether people feel more productive, or why some teams gave up.
| Question | Licence reports | Usage analytics | HappySignals |
|---|---|---|---|
| Who has a licence | From your data | ||
| How often an AI tool is used | – | From your data | |
| Which roles and teams get real value | – | Partly | |
| Whether they feel more productive | – | – | |
| How much time AI saves them | – | – | |
| Whether the quality of their work improved | – | – | |
| Why usage stalls: trust, training, policy, or other | – | – | |
| Who are the champions and what are their use cases | – | – |
What employees tell us about AI.
Questions every AI rollout runs into.
Pick the use case you need more insights on. Each shows what the data looks like.
Did the AI investment pay off?
License counts and token usage show who's using AI, not what it's worth. The people using it know. Ask whether it saves them time and improves their work, and keep asking, so you can see whether the value is growing or fading.
A trend, not a one-off survey.
Who should we target for the next pilot?
Piloting with enthusiasts flatters the business case. The real test is the people in the middle who haven't made up their minds: if a pilot moves them, a rollout will.
Pilot with the middle. Learn from the leaders.
Which teams need more support?
When an AI tool isn't landing with a team, it's usually because people don't know what to use it for, not because the tool is bad. Ask them, and you'll see which teams are stuck and what they're stuck on."
Customer service needs help first.
Do people know what they are allowed to do?
Unclear rules make careful people stop using AI tools altogether. You'll hear about it in their comments long before you see it in the usage numbers.
Policy clarity is the cheapest fix.
Where are your AI champions?
Somewhere, a team has already found a great way to use your AI tools, and nobody else in the organization has heard about it. Find the people getting value, share what they're doing, build training around it, and watch it spread like wildfire.
Recruit champions from the first row.
Are your managers setting the example?
If a manager treats AI as optional, the team hears it. Managers who use AI in their own work set the pace for everyone around them. See where that's happening, and where it isn't, unit by unit.
Start with the managers in sales.
Screens use demo data. Group shares from HappySignals customer AI experience data, 2026.
Experience-led, not technology-led.
“Data has changed the way we prioritize AI initiatives. Instead of chasing the newest trends, we realized we have to focus more on what we really need from an experience level and what people need.”
Shaun Brown, Director of Global Service Delivery, GEA Group
Nobody has a playbook for AI value yet.
You don't need to invent one. We apply over a decade of standardized experience data to your rollout. No generic model can copy that, even if they tried.
- Over 10 years of experience data
- +15 million benchmark responses
- 130+ countries
- ISO 27001:2022
- GDPR aligned
Book a call. Get your missing insights in two weeks.
A conversation first. Then, a short survey that your people actually answer, running in a few days.
- 1Day 1
A 30-minute call
We look at your AI tools, your rollout plans, and what leadership is asking you to prove.
- 2A few days
Up and running
Four questions about working with AI, asked by role, function, and location, using the employee data you already have.
- 3Two weeks
The first trends
See who already gets value from AI, who doesn't yet, and the reasons why.
- 4Throughout the year
Continuous pulse
Keep measuring throughout the year to keep a continuous pulse and see the impact of your changes over time.
You deployed AI tools. Can you show who became more productive?
Bring your questions, and we'll design a custom demo around them.
Demo experience