The first step is to reach out via our website, and then we'll connect you with a member of our sales team. Your sales rep will reach out for an introductory 30-minute call to tell you more about Walker—and learn more about you, too. Here's what to expect on that first call:

• We'll ask about your business and current situation.
• We'll get a sense of your current listening architectures and what's working for you so far.
• We'll learn about your goals, and which business outcomes you're trying to impact.
• We'll talk about the systems and internal owners that house your customer data.

If it makes sense to move forward, we'll set up additional discovery calls to get even more information. At the end of that discovery, we'll put together a proposal and work with you to fine-tune our recommendations. Once the contract is signed, we hit the ground running—usually within a week.

No. Your listening program and however you're reporting on it today—Qualtrics, dashboards, whatever tools you're already using—stay exactly where they are. What changes is what happens next: we connect what your listening program captures to the operational and behavioral data already living in your data cloud, so that signal becomes one input feeding real decisions instead of sitting in a report on its own.

That's a common starting point, not a blocker. We can help you figure out what's already there and, if necessary, what's worth standing up—guided by your goals rather than a one-size-fits-all recommendation. And where it makes sense, we can prove value before you commit to new infrastructure at all, by running an early pilot inside our own environment, so you see results before making a bigger platform decision. If you're already on a different data cloud platform—BigQuery, Microsoft Fabric or something else—tell us. Snowflake and Databricks are where we've built the deepest expertise, but the approach isn't locked to only those two.

 No. Our Discover, Prove, Scale approach is scoped to show value through one use case and one segment on its own. What happens after the pilot is entirely your call. We'd rather earn a bigger conversation with results than assume one from the start.

Every engagement is scoped to the client, but our standard shape is a 4-week sprint to prove the first use case, followed by a 6–12 week build. From there, we scale based on what that first result earns.

That's a common and legitimate obstacle, and we don't ask you to resolve it before we start. Other teams are often concerned about who has access and how their data gets used, and that's fair. So we begin with one proof of concept: one table, read access, one use case, built in a separate workspace that never touches production—enough evidence of value before anyone has to commit further or navigate internal hurdles.

Most of our clients contract with us via a deliverables model with a defined scope of work, but we also offer ongoing support, including retainer hours and staff augmentation—full-time or part-time Walker resources that operate as an extension of your team.

For a data cloud pilot, the ask is intentionally light: one business owner to keep the use case anchored, and read access to a handful of sources rather than your entire environment. Beyond that, we'll need someone from your data team for a few hours a week to provide example data files and a data dictionary, help us troubleshoot data connections as we clean and test, and participate in user acceptance testing before anything goes live.