Coming soonAnalytics

You don’t need to think about what’s next because it’s already in motion. Each release brings new ways to create, optimize, and deliver content that simply works.

Here’s a glimpse of what’s to come.

Q3 roadmap

Q3 is about closing the gap between running experiments and truly understanding them. We're bringing advanced analytics directly into your experimentation workflows: a new results page, deeper exploration tools, and multiple stats engine options so every team can analyze in the way that works best for them.
 
But it doesn't stop at experiments. This quarter is about making your data faster to access, easier to trust, and impossible to ignore.

New A/B Results Page

Unlock deeper insights by bringing advanced analytics directly into experimentation. The new results page and expanded exploration tools from OA become available for WX and FX.

Key benefits:

  • Access richer analytics directly within experimentation workflows.

  • Use the new results page to connect test outcomes with deeper exploration tools.

  • Unify analytics and experimentation so test results become data-driven stories.

Learn more

Inline Charts in Opal

Data questions get a picture, not just a table, right inside the conversation.​

Key benefits:

  • Opal auto-selects chart type based on data shape — line for time series, bar for categorical

  • Toggle between bar, line, and table view instantly, no additional queries

  • Charts render inline, keeping the full workflow in chat

Object Dependency

Understand the downstream impact of changes.​

  • See which dashboards, explorations, tiles,metrics, and cohorts depend on any columnor event before you change it.​

  • Understand how frequently columns andevents are queried so you can safely cleanup, deprecate, or migrate datasets.​

  • Get warned before updates that would breakdownstream analyses.

Fixed Horizon Stats Engine

For experiments that require a specific sample size and only allow results to be reviewed once that sample is reached, the Fixed Horizon Stats Engine provides a reliable and auditable approach. This method is ideal for teams operating in regulated environments or those with fixed-duration testing requirements.

Key benefits:

  • Ensures statistical rigor with a traditional and well-established approach.

  • Supports pre-defined test durations.

  • Enables consistent, auditable analysis.

Public Link for Dashboards

Share live dashboards with anyone — no login, no access management, no workarounds.​

Key benefits:

  • Instantly share dashboards and experiment results using customizable, password-protected, and auto-expiring links.

  • Give stakeholders a clean, read-only experience where they can safely explore and filter data without altering your original work.

  • Maintain complete administrative oversight with the ability to manage, audit, and revoke all active links from a single hub.

Bayesian Stats Engine

The Bayesian Stats Engine interprets probability in an intuitive, decision-focused way—answering questions like “how likely is this variation to be better?” It’s ideal for teams who want faster insights, continuous monitoring, and the flexibility to incorporate prior knowledge into their analysis.

Key benefits:

  • Enables continuous monitoring without increasing false positives.

  • Presents results in a clear, probability-based format.

  • Allows integration of prior information to reach significance faster.

Metrics Catalog

Define a metric once and reuse it everywhere. Metrics Catalog gives metrics their own lifecycle, independent of any single experiment, so teams stop rebuilding the same metric from scratch for every test.

Key benefits:

  • Speeds up experiment set-up by letting users pull existing metrics straight from the catalog instead of recreating them each time.

  • Reduces configuration errors with a guided event selector, so users can find the right event by name without needing to know its type.

  • Strengthens metric governance by keeping definitions consistent across experiments and teams, making results comparable org-wide.

Audit Log and Rollback

See exactly what changed, who changed it, and get back to a working version in one click. Every save on a dataset, exploration, dashboard, metric, cohort, or rule now creates a version you can inspect and restore, with AI-authored changes clearly labeled apart from human ones.

Key benefits:

  • Attribute agent-made changes distinctly, so admins can audit or revert them with confidence.

  • Recovers from mistakes fast with one-click rollback that restores a prior version without manual reconstruction.

  • Shows exactly what moved with a field-level diff view between any two versions.

One-Click Experiment Readout

Turn a finished experiment into a shareable story with a single click. Opal reads your results and generates a plain-language narrative, right in the experiment's Readout tab, so the outcome never gets stuck in a scorecard only you can interpret.

Key benefits:

  • Eliminates manual write-ups by generating the headline outcome, key metric movement, and next steps automatically.

  • Explains the "why" behind every result by surfacing the conversion drivers behind the change, not just the number.

  • Keeps readouts shareable and easy to find, living directly on the experiment instead of a loose deck or dashboard.
 
 

Webhooks

Turn OA events into triggers for Opal agents. A metric crossing a threshold or a rule firing can now fire a webhook that starts an Opal workflow, so agents react in real time instead of running only on a cron schedule.

Key benefits:

  • Enables event-driven automation by connecting OA conditions directly to Opal agents, no engineering help required.
  • Delivers reliably with clear error handling, so builders can trust their agents will run when the event occurs.

  • Available self-serve, letting any OA-owning agent builder configure and test their own webhook.

Update Explore

Refine an exploration instead of starting over. Ask Opal to add a cohort, change a group-by, or swap a measure, and it updates the exploration you're already looking at, in place, instead of spinning up a new draft.

Key benefits:

  • Keeps iteration natural by letting users chat their way to the right view, without losing where they started.

  • Shows exactly what changed after every edit, so users always know what moved and why.

  • Turns analysis into a loop, with Opal suggesting the next refinement and applying it directly to the current exploration
 
 

Event Cleanup & Category Assignment

Clean up your event catalog in one conversation, not one event at a time. Tell Opal to document, rename, or categorize events in bulk, and it surfaces what needs attention first, so hygiene keeps pace with ingestion instead of decaying into a messy, undocumented picker.

Key benefits:

  • Fixes catalog hygiene at scale by handling descriptions, renames, and visibility across dozens of events in a single request.

  • Surfaces what needs attention by identifying undocumented and candidate-stale events, so admins know where to focus.

  • Keeps categorization consistent with Opal creating categories and bulk-assigning events, with enforced colors and icons.
 
 

Metrics & Cohort Creation via Opal

Describe the metric or cohort you need, and Opal builds it, selecting and chaining the right blocks so non-SQL users never have to learn block mechanics. Each block also shows the transformation it performs and how it connects to others, so anyone can follow what a metric does, whether Opal or a person built it.

Key benefits:

  • Removes the biggest barrier to metric creation by letting users describe a goal in plain language instead of assembling blocks by hand.

  • Speeds up experiment set-up with inline creation of conversion, numeric, and ratio metrics right where the test is configured.

  • Builds trust in every metric with a clear, cell-based view of each block's transformation and how blocks reference one another.
 
 

Home Page Revamp

Home now leads with a simple question: "What would you like to know today?" Ask Opal directly from the first screen, pick up where you left off, or jump into what's popular across your org, so a business question turns into an answer without hunting for the right template.

Key benefits:

  • Turns questions into answers instantly with Opal as the primary, above-the-fold entry point on Home.

  • Gets users back to in-flight work fast with a Recently Viewed section covering dashboards, explorations, and metrics.

  • Surfaces what matters most with Favorites for quick access and Most Popular rankings across your org.

Events Received Counts & Selector Enhancements

See what's actually flowing, not just what's been queried. Every event now shows a 30-day received count and last-seen timestamp, right in the selector and events view, so admins can spot stale events at a glance instead of guessing from query history.

Key benefits:

  • Cuts through selector noise by surfacing real ingestion volume, so users pick live events instead of stale or duplicate ones.

  • Makes catalogs useful on day one by basing relevance on data flow, not query history that doesn't exist yet for new workspaces.

  • Simplifies cleanup with a sortable, filterable events view that surfaces stale events ready to be hidden workspace-wide.
 
 

Check out past feature releases

Explore the latest launches, enhancements, and releases from across the platform.