Automatically answer employee questions in Slack
Get 100% automated employee support in Slack: ㅤ 1. Add frequently asked Q&A in Confluence 2. Install Troopr 3. Connect Confluence to a Slack channel using Troopr ㅤ 100% free: Works with free Slack & Confluence versions. Get Troopr free for limited time.
Hey PH Fam, We are excited to introduce Troopr Wiki: https://www.jiraslackintegration.com/confluence-slack-integration Setting up a traditional team wiki can be hard and getting your team to use it can be harder. That is why we made Troopr Wiki so you can easily access your team's knowledge during their conversations in Slack. Troopr can automatically find relevant answers to questions posted in your Slack channel(s). Just designate a channel for the purpose and connect it to your Confluence wik
I'm a daily user of Troopr at Springworks and I probably say this on behalf of a lot of my colleagues: Troopr's made it much much easier to get work done faster, better and systematically. I look forward to making use of Troopr Wiki at work. Keep up the great stuff. Keep brewin'!
Amazing idea, could save us a lot of time @bonjour.io !!! Nice, @raj42 , well done
Super relevant product! Helps the team save a lot time with internal queries that pop up on slack. Best wishes Rajesh!
At Springworks, we are all fans of Troopr and use it in our Slack. Great to see this new launch - Troopr Wiki will be immensely useful for us and I am sure for most others orgs like us.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.