In-product surveys are useful for gathering direct feedback from users about their experience with the new feature. It provides valuable insights into user satisfaction, usability issues, and areas for improvement at a quick glance.
Observe how your users are interacting with a newly shipped feature with this survey template. Gauge the overall experience and usability of the new feature with rating and qualitative follow-up questions.
Collect quick metrics to understand how users are interacting with a new feature release
Create an account and log in to your Hubble account.
Find and select the template to use.
Edit the questions as you see fit.
Run pilot tests with internal users (ideally, people that are not a part of your project).
Preview the study and check if you need to make any last minute changes.
Publish the study and wait for the results to come in.
In-product surveys are useful for gathering direct feedback from users about their experience with the new feature. It provides valuable insights into user satisfaction, usability issues, and areas for improvement at a quick glance.
Surveys should ideally be launched shortly after the new feature is released to capture users' initial impressions and feedback while the experience is fresh in their minds. However, it's also beneficial to conduct follow-up surveys at later stages to assess long-term satisfaction and usage patterns.
Common pitfalls include surveying only a subset of users, leading to biased results; using overly complex or technical language in survey questions, leading to confusion or misinterpretation; and failing to act on survey feedback or communicate outcomes to users, leading to disengagement or frustration.
The frequency of launching surveys depends on various factors, including the complexity of the feature, the rate of user adoption, and the organization's release cycle. It's generally advisable to launch surveys periodically to track changes in user sentiment over time and capture feedback on iterative improvements.
Collect quick metrics to understand how users are interacting with a new feature release