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    Slack & Productivity
    June 5, 20257 min read

    How to Connect Your A/B Testing Platform to Slack

    Mike Johnson

    Mike Johnson

    Engineering Lead

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    Keeping experiment results in your A/B testing platform means most of your team never sees them. Connecting to Slack fixes that by bringing experiments where your team already works.

    Here's how to set up integrations between popular experimentation platforms and Slack, plus how to make those integrations actually useful.

    Why connect to Slack?

    Before diving into how, let's be clear on why:

    Visibility. Most people don't log into experimentation dashboards. They do check Slack constantly.

    Discussion. Slack threads create natural space for debate about experiments and results.

    Speed. Real-time notifications mean faster awareness and faster action on results.

    Record. Searchable history of what was tested and what happened.

    Native integrations

    Most major experimentation platforms offer some form of Slack integration:

    Amplitude Experiment

    Amplitude offers Slack notifications for experiment status changes. To set up:

    • In Amplitude, go to Settings > Integrations
    • Find Slack and click Connect
    • Authorize the connection to your workspace
    • Configure which experiment events trigger notifications

    What you get: Alerts when experiments start, reach significance, or complete.

    What's missing: No prediction or engagement features. Notifications only.

    Statsig

    Statsig includes Slack integration for experiment updates:

    • Navigate to Project Settings > Integrations
    • Click Add Slack Integration
    • Select your workspace and authorize
    • Choose which channels receive which experiment types

    What you get: Configurable notifications based on experiment status.

    What's missing: One-way updates only. No team interaction features.

    LaunchDarkly

    LaunchDarkly supports Slack for feature flag and experiment notifications:

    • Go to Integrations in your LaunchDarkly dashboard
    • Find the Slack integration
    • Connect your workspace
    • Set up channel routing rules

    What you get: Notifications when experiments change status or conclude.

    What's missing: Limited to status updates. No results discussion flow.

    Optimizely

    Optimizely offers Slack webhooks:

    • In Optimizely, find Webhook configuration
    • Create a webhook pointing to Slack's incoming webhook URL
    • Configure triggers for experiment events

    What you get: Custom notifications based on webhook triggers.

    What's missing: Requires some technical setup. No built-in features for team engagement.

    The notification trap

    Native integrations share a common limitation: they only push information.

    A notification says "Experiment X concluded." Then what? The notification sits there. Most people ignore it. Results still don't drive action.

    This is better than nothing, but it's not the full solution.

    Going beyond notifications

    Effective Slack integration for experiments needs more than status updates:

    Two-way interaction

    People should be able to respond to experiment announcements, not just read them. Comments, reactions, and predictions create engagement.

    Context preservation

    When results arrive, they should link back to the original discussion. What were people predicting? What was the hypothesis? That context matters.

    Action prompts

    After results, what happens next? Good integrations prompt decisions: implement the winner, iterate, or investigate further.

    Leaderboards and recognition

    If you're using predictions, showing who predicted correctly adds a competitive layer that drives ongoing attention.

    ExperimentBets: The engagement layer

    ExperimentBets connects to your experimentation platform and adds engagement features on top:

    Automatic syncing. Experiments from Amplitude, Statsig, or LaunchDarkly appear in Slack automatically when they launch.

    Prediction interface. Team members bet virtual coins on which variant will win, directly in Slack.

    Result announcements. When experiments conclude, results post with payouts to correct predictors.

    Leaderboards. Track who has the best prediction accuracy over time.

    Thread context. All discussion happens in threads attached to the original announcement.

    This creates engagement, not just notifications.

    Setting up ExperimentBets

    • Connect Slack. Authorize ExperimentBets to post to your workspace.
    • Add your experimentation platform. Enter API credentials for Amplitude, Statsig, or LaunchDarkly.
    • Configure channels. Choose where experiment announcements should post.
    • Launch. New experiments appear automatically with betting interfaces.

    The whole setup takes about 10 minutes.

    Best practices for Slack experiment integration

    Whatever integration approach you choose:

    Dedicated channels

    Don't flood general channels with experiments. Create #experiments or similar for people who want to follow.

    Consistent formatting

    Every announcement should include: hypothesis, variants, metrics, and timeline. Consistency makes scanning easier.

    Close the loop

    Every experiment announcement needs a results post. Dangling experiments erode trust in the system.

    Encourage discussion

    Leaders should comment on announcements, ask questions, and share predictions. Modeling engagement creates culture.

    Review regularly

    Monthly, look at which experiments drove conversation and which didn't. Learn what makes your team engage.

    The visibility payoff

    When experiments show up in Slack:

    • More people know what's being tested
    • Results get discussed instead of ignored
    • Winning variants ship faster
    • Experimentation becomes a team activity

    That visibility is the foundation for experimentation culture. Everything else builds on it.

    Start with connecting your platform. Then work on engagement. The returns compound from there.

    slack
    integrations
    amplitude
    statsig
    launchdarkly
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    Mike Johnson

    Mike Johnson

    Engineering Lead

    Mike has built data infrastructure and experimentation platforms at two fintech startups. He writes about the technical challenges of running experiments at scale.

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