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Human-centric approach to AI transformation

Usage data tracks adoption. Experience data reveals impact.

HappySignals gives you the human signal behind your AI rollout so you can find what's working, scale it across the organization, and prove the value to the business.

Human-centric approach to AI transformation

Most AI transformations don’t fail because of the technology.

“80% of companies fail to benefit from AI because of human and emotional factors, not technological limits. AI adoption isn't just a technological challenge — it's a leadership one. Success hinges on understanding trust and addressing emotions.”

— Recent study by Aalto University

The wins are already there. The question is whether you can see them.

You've invested in Copilot, ChatGPT, Gemini, Claude, or similar AI tools across your organization. You can see who has a license and how many prompts were sent. But you can’t see:

Which teams are already getting real value — and what's making it work for them
Whether employees feel more productive — or just busier
Where confidence is low, and adoption will stall
Why certain groups aren't engaging, and what would change that

The experience gap is measurable — and it matters

The difference between employees who engage with AI and those who don’t shows up in experience data before it shows up anywhere else. In HappySignals customer data, we have seen that:

0 %

Say AI makes them more efficient

0 %

Feel work is more stressful with AI

0 %

Aren't getting much benefit from AI yet

Source: HappySignals platform data, 2026.

These are averages — the value comes from segmenting them by role and business unit. That ~50% efficiency figure is notably more positive than industry benchmarks suggest: Gartner reports that 88% of HR leaders say their organization hasn't realized significant business value from AI, and that 19% of employees report no productivity gain at all. The difference is likely in how AI is being rolled out — and for whom.

That's exactly what HappySignals shows you. Not just whether employees are using AI, but whether it's actually changing how they work — and where to focus to bring more people along.

"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. Rather than technology-driven, we needed to be experience-led."

The human side of AI rollouts

"97% AI adoption rates 'mean almost nothing' — what matters is whether use creates value."
— Zapier CPO, Charter Works, March 2026

HappySignals measures the employee experience of AI tools continuously and at scale — so you get the full picture across your organization, not just a global average that hides where the investment is working and where it isn’t.

Happiness by segment

Which employee groups experience AI as helpful — and which feel it adds friction? HappySignals breaks this down by AI attitude, AI skills, usage frequency, role, location, and team. Patterns that a global adoption rate buries become visible.

Productivity and efficiency impact

Does AI make employees feel more efficient — or are some groups still waiting to see the benefit? HappySignals captures employee-reported efficiency perception by role, team, and location. Use Additional Questions to collect best use cases directly from employees — turning individual wins into playbooks the rest of the organization can follow.

Experience drivers and reasons

Why do employees struggle or succeed with AI? Experience Indicators and open-text comments surface the real causes: trust, usefulness, onboarding quality, confidence, policy clarity, and support. Our AI-summarized themes mean you see the signal without reading thousands of individual responses.

Change over time

Did a training rollout change how employees feel? Did a governance update improve confidence? HappySignals tracks happiness and lost time before and after changes to your AI program. As our 2026 Benchmark puts it: the organizations improving fastest are not simply the ones investing in new tools. They are the ones building feedback into how services are designed and managed.

Built for the people running AI transformation

For Heads of AI Transformation & Enterprise AI Leaders

Your best AI adoption story is already happening somewhere in your organization. HappySignals helps you find it, prove it, and scale it — identifying which roles and teams are already winning with AI, where confidence is low and adoption is stalling, and giving you the hard data to build the business case for what comes next.

For CIOs and IT Leaders sponsoring AI programs

72% of CIOs report their organizations are breaking even or losing money on AI investments (Gartner, 2025). HappySignals gives you the missing layer between your adoption dashboard and real business impact — so you can show the board AI is delivering, de-risk rollout decisions with continuous human feedback, and give business leaders the evidence to accelerate where it's working.

For HR and People teams partnering on AI enablement

Know which employee groups need more support, confidence-building, or change management attention — and you separate AI programs that scale from ones that stall. HappySignals bridges the gap between IT deployment and people actually benefiting from AI, at the individual and team level, not just the organizational one.

Experience intelligence for AI Transformation

HappySignals deploys purpose-built surveys that go beyond standard satisfaction questions. Four AI-specific employee data dimensions give you a deeper picture of how people really feel about AI in their work:

AI usage: how frequently employees are actually using AI tools day-to-day
AI skills: how capable and confident employees feel using AI
Attitude towards AI: whether employees see AI as an opportunity or a threat
Influence of AI: whether employees feel AI is genuinely changing how they work for the better

Together, these four dimensions let you segment experience data in ways that generic adoption metrics never could — revealing not just who is using AI, but who is ready, who is struggling, and where the real opportunity lies.

In HappySignals you can see in real-time your division of AI properties between your end-users, which country, organization or role they belong to, so that you can make better decision how to help them adopt and use your AI tools.

High response rates you can trust

Research-backed, low-friction surveys deliver 20–40% response rates — giving you statistically meaningful data at the segment level, not just directional averages.

AI-summarized themes in seconds

Thousands of open-text comments are automatically surfaced as clear themes, root causes, and improvement suggestions. You see the signal without having to read every response.

Ask — conversational AI for experience data

Instead of building reports, just ask. Ask is HappySignals' conversational AI that lets you explore experience data in plain language — uncovering trends, surfacing root causes, and generating insights in seconds. No analyst needed, no waiting.

Segmented by what matters

Slice experience data by location, business unit, job family, AI attitude, AI skills level, and more. Find the pockets of friction — and the pockets of success — that a global average buries.

Usage data from your DEX tools — in one place

Already using a DEX tool like Nexthink? HappySignals integrates usage data so you can compare experience against actual AI tool usage — seeing how happiness and efficiency perception differ across employee segments by how often they use AI.

Ready to deploy. Built for enterprise.

HappySignals doesn’t just collect experience data — it turns it into action. Get continuous signals, smart prioritization, and clear visibility on what needs to change.

Understanding experience shouldn’t become a long survey project.

HappySignals is designed to go live fast — with proven methodology, ready-made surveys, benchmarks, and certified ITSM integrations built in.

No heavy design work. No constant tuning. No rebuilding reports. HappySignals creates decision-ready insight — from day one.

What you get out of the box

Research-backed surveys
Certified ITSM applications
Minimal setup and low admin overhead
ISO 27001:2022 certified, GDPR-aligned
Secured Microsoft Azure cloud with global data center options
Customer-owned experience data

Ready to see Experience Intelligence in action?

Book a demo

Book a 30-minute meeting to discuss your challenges and learn how HappySignals can help.

Watch a demo

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In case you're wondering

HappySignals measures the employee experience of AI tools your organization has deployed — including Microsoft Copilot, ChatGPT Enterprise, GitHub Copilot, Google Gemini, Claude, Slack AI, and others. The platform is tool-agnostic: if employees are using it, we can measure how they feel about it.

Built-in analytics tell you who used the tool and how often. HappySignals tells you whether employees feel more productive, where confidence is low, and why certain groups aren’t getting value. Usage data and experience data answer different questions — you need both.

Yes. HappySignals segments experience data by business unit, location, role, AI skill level, and AI attitude — so you can identify where the AI investment is working and where it isn’t, rather than relying on global averages that mask the real picture.

HappySignals measures the workforce and productivity side of AI value: employee happiness, efficiency perception, experience drivers, and segment differences. Financial ROI needs to be built by connecting HappySignals data to other business systems. We give you the human evidence layer — not a replacement for financial modeling.

HappySignals is designed to go live fast. Purpose-built surveys are ready out of the box, with no lengthy design process required. Most organizations are collecting experience data within weeks.