Use Case

Honest feedback, collected at real scale

Dialbotix calls customers after key moments in their journey to collect honest, detailed feedback through natural conversation, insight that a form alone rarely uncovers.

Collecting real feedback at scale is hard to do manually

Understanding how customers actually feel, after a purchase, a support interaction, or a renewal decision, requires asking them directly and listening carefully. Doing that manually for every customer, at every meaningful moment, simply isn't realistic for most teams, so most feedback collection ends up limited to a small, occasional sample.

Manual feedback calls don't scale past a handful of customers

A team member calling customers individually for feedback can only cover a small fraction of the total customer base.

Feedback requests get sent long after the relevant moment

By the time a feedback email goes out, the specific details of the experience have often already faded for the customer.

Negative feedback is often the hardest to actually collect

Dissatisfied customers are frequently the least likely to fill out a voluntary form, even though their feedback is often the most valuable.

Feedback collected from only a small, self-selected group rarely gives an accurate picture of how the broader customer base actually feels.

The feedback you don't collect is the risk you don't see coming

Customers who are quietly dissatisfied rarely volunteer that information unprompted. Without proactive outreach that actually reaches a representative share of customers, businesses often don't learn about a growing problem until it shows up as churn.

Dissatisfied customers rarely volunteer feedback on their own
Delayed feedback requests lose the specific detail of the experience
Manual collection only reaches a small fraction of customers
Proactive, scaled outreach surfaces problems before they become churn

The businesses that catch problems early are the ones actually asking, consistently and at scale.

Feedback collection that actually scales

Reach every customer at the right moment, through a real conversation.

Timely outreach after key moments

Calls happen shortly after a purchase, support interaction, or other relevant milestone, while it's still fresh.

Natural, conversational collection

Customers share more, and more honestly, in a conversation than in a form.

Surfaces negative feedback too

The conversational format makes it easier for dissatisfied customers to actually voice concerns.

Aggregated themes across all feedback

Patterns and recurring issues are surfaced automatically across every conversation.

How customer feedback collection works

  1. 1

    Define the moment to trigger outreach

    A purchase, support ticket close, or another meaningful milestone.

  2. 2

    The AI calls the customer soon after

    Feedback is collected while the experience is still fresh and specific.

  3. 3

    The conversation captures honest detail

    Both positive and negative feedback are recorded fully and accurately.

  4. 4

    Themes are surfaced for your team

    Recurring issues and standout feedback are aggregated automatically.

What changes with scaled feedback collection

Feedback reaches a far larger, more representative share of customers
Negative feedback surfaces earlier, before it becomes churn
Insight is collected while the experience is still fresh and specific
Recurring issues become visible instead of anecdotal

Consistent, scaled feedback collection is what turns customer sentiment from a guess into something a business can actually act on.

Start collecting honest feedback at scale.

See feedback calls running live in a 15 minute walkthrough.

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