CIOs, CTOs, CHIEF AI OFFICERS, HEADS OF TRANSFORMATION, OPERATIONS LEADERS
Is your AI rollout working? Let every employee tell you.
You've deployed AI tools across your organization — Copilot, ChatGPT Enterprise, maybe a custom assistant. You're three to twelve months in. And you still can't tell anyone, with confidence, whether it's actually working — or what to do to make it work.
RolloutSignal gives you both: a rigorous, organization-wide diagnostic based on private 1-on-1 conversations with every employee, and a clear path forward.
You deployed AI.
Now you need to make it work.
You're in a predictable situation. You've bought the licenses. You've run the training. You've appointed champions or run a pilot group. And now you're being asked, by your CEO or your board or yourself, a version of the same question: "Is this working?"
The reason that question is so hard to answer is that three kinds of information are usually available, and none of them get you there.
Vendor dashboards tell you how much the tools are being used.
Active users, prompt volume, license utilization. Useful as a starting signal. Silent on everything that matters about why usage is where it is, or whether the usage that is happening is producing real value.
Traditional surveys tell you what people will tick on a checkbox.
Response rates are typically 20–40%. The responses you do get are compressed, generic, and shaped by what employees think they're supposed to say. The specific, concrete stories that actually explain adoption — "I tried it twice and stopped because…", "my manager hasn't said anything so I assumed…" — don't show up in survey data.
Interviews and focus groups tell you what a handful of people think.
Valuable for texture, but ten people out of five hundred isn't a diagnostic — it's an anecdote. You can't make an investment-scale decision on anecdotes, and your senior stakeholders know it.
RolloutSignal gives you the fourth kind of information: qualitative depth at the scale of the full organization. Not a sample. Every employee, heard individually, in their own words.
The questions your current tools don't answer.
If you're being asked to justify the AI investment — by your CEO, your exec team, your board, or yourself — these are usually the questions that come up:
- Which teams are actually getting value from the tools, and which are quietly ignoring them?
- Is the low adoption a training problem, a workflow problem, or a permission problem?
- Are our managers endorsing AI use, or are they the hidden blocker?
- What specifically is stopping people from leaning in — fear, confusion, workflow friction, or something else?
- When we renew the license in six months, what will we actually have to show?
- What should we be doing differently in the next phase of rollout?
RolloutSignal answers all of these, with evidence from every employee — not a sample, not a guess.
Our standard structured conversation covers the 6 dimensions that consistently determine whether AI adoption lands:
Current usage
What tools employees actually use, how often, and for what.
Training and confidence
Whether people feel equipped to use the tools well.
Workflow integration
Whether AI fits how work actually gets done — or adds friction.
Manager signaling
Whether managers are endorsing AI use or quietly blocking it.
Perceived value and risk
What employees see as the upside, and what worries them.
What should happen next
What employees think leadership should do differently.
Scores don't explain. Sentences do.
“I used Copilot on something that went to my director. It made a mistake and she noticed. I'm not going back.”
“My manager doesn't use it, so I assume it's not something I should be spending time on.”
“I'd use it more but I'm worried about feeding client data into it.”
“Everyone's telling me to use AI to be more productive. Nobody's told me what happens to my job if I actually do.”
The things that determine AI adoption outcomes — confidence, permission, manager signaling, workflow fit, perceived risk — live in sentences, not scores.
You can't get those answers from a 1-to-5 scale or a checkbox.
RolloutSignal's conversations are structured — every employee is asked the same core questions — but adaptive. When someone gives a surface answer, Haven probes. When someone raises a concern, Haven explores it. When a participant doesn't want to answer something, they can skip it. When they do answer, Haven summarizes what they said and asks them to confirm it — so the record reflects what they actually meant, not what an algorithm inferred.
The format is architected to produce depth at scale. It's the only way to diagnose an AI rollout honestly across a whole organization.
Read more about why the method works
“Every employee, heard individually, in their own words.”
— The Rollout Signal method
See a sample diagnostic report.
A full 68-page report showing what RolloutSignal produces. Based on a representative synthetic engagement — same structure, depth, and quality as real client work.
See the sample reportHow a RolloutSignal engagement runs
Phase 1 — Scoping
We work with you (or your consulting partner) to define the questions that matter for your rollout. We agree scope, tailor Rollout Signal's topic library to your specific AI tools and situation, and handle logistics (employee list, communications, timing).
Phase 2 — Conversations
Every employee receives an invitation to have a structured 15–20 minute conversation with Haven, our AI interviewer. Fully anonymous.
Daily participation monitoring. Typical completion: 10–14 days. Participation rates typically 75–90%.
More about how Haven worksPhase 3 — Synthesis
We analyze every conversation individually and then across the organization, identifying patterns across topics and demographics.
We prepare a rigorous report: participation stats, topic-by-topic findings, demographic cuts (function, seniority, tenure, AI experience level), cross-topic pattern analysis that surfaces root causes, and priority recommendations with ownership and timeframes.
Phase 4 — Debrief and path forward
A 90-minute debrief with your team. We walk through the findings, discuss the recommendations, and agree next steps. Many clients bring their consulting partner to this debrief so the intervention planning can start immediately.
You leave the engagement with a clear plan for what to fix and in what order. Board-ready.
View a sample reportPricing
We charge a flat per-employee rate — not consulting hours, not tiered packages.
You know the price before we start.
Core diagnostic engagement
Covers everything: diagnostic design, communications, employee invitations, conversation delivery, synthesis, the full diagnostic report, and a 90-minute debrief with your team. No add-ons. No hourly extras. No scope creep.
Book a discovery callRolloutSignal Pulse
Tracks implementation of recommendations, emerging issues, and adoption trajectory over time through short ongoing pulse conversations. Annual commitment discount available.
Built by the team behind Haven.
RolloutSignal is a product of FeedbackRocket — a ten-year-old organizational employee-insights company trusted by leading multinational companies (including Volkswagen, Discovery, First National Bank and Liberty).
Our other products include Haven (an AI conversation partner replacing the traditional employee survey) and Sage (an AI Leadership Coach and 360 Degree Manager Review solution).
RolloutSignal applies the Haven methodology to the specific problem of AI adoption.
Ready to see what your AI rollout is actually doing?
Book a 30-minute call with the RolloutSignal team. We'll walk through how the diagnostic works, show you a sample report, and figure out whether RolloutSignal is the right fit for your organization.
Book a call