Use cases/ Measure customer satisfaction

Track CSAT and NPS in-context and catch sentiment drops before they show up in churn.

Overview

Sleekplan triggers tiny in-context satisfaction prompts (CSAT, NPS, custom) at the moments that matter: after a key flow, after a release, after a support interaction. You get a continuous sentiment signal instead of a quarterly survey nobody answers.

How it works

Configure when the widget asks (URL match, time delay, post-event). Pick the question template. Sleekplan respects per-user rate limits so you don't burn out the audience.

Responses land in the same dashboard as feedback and roadmap posts. Filter by score, time range, page, or customer segment. Watch the trendline; act before it bends down.

How it flows
  1. Trigger at the right moment

    Set URL rules, time-on-page, or post-event firing. Ask after the user has actually used the feature you're measuring, not on first page-load.

  2. Track the trendline

    Day-over-day, week-over-week, segment-by-segment. The dashboard surfaces drops before they show up in retention metrics.

  3. Reply to detractors

    Negative scores open a reply thread. You hear from unhappy customers before they churn, instead of after.

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What is the Customer Satisfaction Score (CSAT)?

CSAT is the simplest customer-sentiment metric in the canon: ask the user how satisfied they were with a specific experience, on a 1-5 or 1-10 scale, and report the percentage who answered favourably. It's not the deepest measure of loyalty, but it's the fastest to collect and the easiest to act on.

When to send CSAT prompts

  • After a support interaction closes
  • After a key product flow completes (checkout, onboarding, first-value moment)
  • After a major release lands
  • On a rolling schedule for relationship-level pulse checks

CSAT vs NPS

CSAT measures satisfaction with a specific event. NPS measures willingness to recommend the product overall. Most teams need both. Sleekplan ships both, plus a custom-question mode, plus the threaded-feedback follow-up that lets you actually talk to the customer who answered badly.

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