Integrate Slack with Wootric
Use the Slack integration to get vital information about your organization, your team, and their habits or productivity.
Wootric is a service that can create customers surveys and turn their responses into a measurable metric of customer happiness called a Net Promoter Score (NPS). Wootric’s surveys are designed to get the most responses possible by being both simpler and less aggressive than traditional surveys. The data gathered from these surveys can be used to rate and segment customers as well as offer analytics about your customer base at large.
Popular Use Cases
Bring all your Slack data to Amazon Redshift
Load your Slack data to Google BigQuery
ETL all your Slack data to Snowflake
Move your Slack data to MySQL
Bring all your Wootric data to Amazon Redshift
Load your Wootric data to Google BigQuery
ETL all your Wootric data to Snowflake
Move your Wootric data to MySQL
Integrate Slack With Wootric Today
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Slack's End Points
Gather and set information on members of your Slack team: get a user’s identity, find a user with email addresses, set user profile pictures, and more.
Get info on your team's Slack channels, create or archive channels, invite users, set the topic and purpose, or mark a channel as read. Use this information to track and improve company communication.
Interface with all kinds of conversations, including public conversations, private channels, and direct messages.
Get info on files uploaded, upload new files, and control things like file sharing, filters, and file information.
Group and User Group
Get info on your team's private channels, or groups, and on your team's user groups.
Wootric's End Points
Track the data associated with your survey responses. This allows Wootric to both provide you with analytic data about your NPS and integrate that data with your CRM.
Interact with data about your end users - including their contact information, their relationship with your company (such as what plan or product they use) and the date they were last surveyed - to gauge how out-of-date your data about each user may be. Then, use this information to decide if/when they should be surveyed again.
Monitor which surveys were declined and by whom. This data includes the ID of the respondent, the survey ID and the time at which it was declined. You can then identify which surveys were unsuccessful and which customers are unlikely to respond to surveys. This can help to accurately segment your customers and better gauge where they are in their lifecycle with your company.