Analytics

Overview

A survey's analytics summarize your results — total responses, completion rate, average completion time, a responses-over-time chart, per-question distribution charts, and a CX score for NPS, CSAT, and CES survey types.

When to use it

• You want to understand how people answered and how the survey performed.
• You're reporting on an NPS, CSAT, or CES survey and need the score.

Before you start

• The survey needs responses before the analytics are meaningful.
• A headline score shows only for NPS, CSAT, and CES; eNPS and PMF are not auto-scored.

Step by step

1. Open the survey to see its analytics.

   

2. Read the headline metrics: total responses, completion rate, and average completion time.

3. Scroll the responses-over-time chart and the per-question distribution charts — these always show, for every type.

4. For NPS, CSAT, and CES, read the CX score at the top:

   • NPS: the score plus the promoters / passives / detractors breakdown.
   • CSAT: a satisfaction percentage.
   • CES: an average ease score.

Good to know

What is the completion rate? It's the share of people who finished the survey out of everyone who started it (finished ÷ started).

Why is there no score for an eNPS or PMF survey? The system only auto-computes a score for NPS, CSAT, and CES. eNPS and PMF raw responses still appear in the per-question distribution charts, but with no headline score.

Can I compare results across surveys? Yes — surveys that share a tag can be compared, so you can track a metric over time or across campaigns.

Tips & pitfalls

Tip: A low completion rate often means the survey is too long — trimming questions usually helps.

Warning: Small response counts make scores volatile — gather enough responses before drawing conclusions.

Next steps

Export the responses for deeper analysis outside the platform.