Introducing the Confidence Slack Bot

Most experiment questions don't start in an experimentation tool. They start in a Slack thread.

Someone asks whether a test has concluded. A PM wants to know if the guardrails held before a launch meeting in ten minutes. An engineer asks which flag controls a behavior they're about to change. The answer is in Confidence, but the conversation is in Slack.

The Confidence Slack bot puts the answer where the question already is. Mention @Confidence in a channel or send it a DM, and it responds in the thread with experiment results, flag details, session recordings, product analytics, or whatever you asked for. It can also take action: create flags, prepare experiments, and pull evidence from recordings and analytics.

It uses your Confidence identity and permissions. The access controls you've set up in Confidence apply in Slack too.

#What happens when you mention @Confidence?

Ask a question in natural language. Confidence gathers the relevant context, works through the request, and responds in the thread.

A quick status check:

A result breakdown:

A follow-up, without restating anything:

Conversations stay threaded. You don't need to paste experiment names or copy identifiers. Confidence carries the context forward.

#Can it take action, or only answer questions?

Both. The bot brings Confidence workflows into Slack, so teams can move from discussion to a concrete next step in the same thread.

Confidence configures the flag, adds the variants, and confirms.

A team discussing whether to test a change:

The bot gathers what it can and clearly tells you what's missing. Consequential changes stay visible, and every action is gated by your existing Confidence permissions.

#What about user behavior?

Teams can use the bot to investigate what's behind a product question by pulling from session recordings and product analytics.

Mention Confidence in the thread:

The bot pulls the analytics and recording evidence together in the thread. What would normally require someone to watch sessions, query event data, and write up findings becomes a conversation the whole team can see and act on.

#How we're using it to build Confidence

We use the Slack bot ourselves while building Confidence.

Confidence pulled from two sources: session recordings of users going through the experiment creation flow, and product analytics showing where drop-offs and repeated actions cluster. It synthesized both into a single thread: the steps users take, where they hesitate, where they abandon, and what the recordings reveal about why.

That conversation happened in a product channel. The whole team could see it, ask follow-ups, and start discussing what to change. What would normally require someone to watch recordings, pull event data, and write up findings happened in a few minutes in Slack.

The pattern we've seen internally: the bot doesn't change what people ask. It changes how quickly they get an answer, and how often the question gets asked at all. Questions that used to feel too small to bother someone about ("did that test finish?" / "what does the drop-off look like on step three?") now just get asked.

#Where the bot ends and Confidence begins

The bot handles questions, follow-ups, flag configuration, experiment preparation, and analytics and recording lookups. For longer investigations, it shows what it's working through rather than disappearing until the final answer arrives.

Detailed experiment analysis, metric exploration, and complex configuration still belong in the Confidence application. The bot is the fast path in: it answers the first question and gives you a direct link to the underlying resource when the work goes deeper.

#Get started

Install the Confidence Slack bot and mention @Confidence in a channel, or send it a direct message.

A few starting points:

• "Which experiments are live right now?"
• "Summarize the results of our onboarding experiment."
• "What changed in this rollout?"
• "Have users been struggling with metric setup? Check recordings and analytics."
• "Create a flag for the new checkout experience."
• "Summarize this thread and suggest next steps."

#FAQ

Does the bot have access to everything in Confidence?
It uses your identity and permissions. You see what you'd see in Confidence, nothing more.

Can multiple people interact with it in the same thread?
Yes. Each person's requests are authenticated individually. One thread can have questions from different team members, each resolved with that person's access.

What if I share sensitive experiment details in a public channel?
The bot respects your Confidence permissions, but Slack channel visibility is governed by Slack. If you ask about a sensitive experiment in a public channel, the response is visible to everyone in that channel. Use a DM or private channel for confidential questions.

Does it replace Slack notifications from Confidence?
No. Notifications are push: Confidence tells you when something changes. The bot is pull: you ask Confidence when you have a question. They complement each other.

Can it create experiments, or only prepare them?
The bot can set up the pieces: create flags, configure variants, identify relevant metrics. Starting the actual A/B test still requires confirmation in Confidence, so nothing goes live from a Slack message alone.

#Further reading

• Introducing Confidence Agent: the AI collaborator the Slack bot is built on
• Introducing Product Analytics: natural-language queries over your product data
• Introducing Recordings: AI-analyzed session recordings for understanding user behavior
• Collaboration in Confidence: how Confidence supports cross-functional experimentation workflows
• Working with Confidence through AI assistants: connecting Confidence to your development tools
• Notifications in Confidence: push-based alerts for experiment and flag events