> ## Documentation Index
> Fetch the complete documentation index at: https://confidence.spotify.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Changelog

> New features, improvements, and fixes in Confidence.

Follow the latest improvements to Confidence. Subscribe through the RSS feed to receive new entries.

<Update
  label="August 31, 2026"
  description="More flexible targeting, metric exploration, and data administration"
  rss={{
title: "Confidence product update—August 2026",
description: "Use contains targeting, reorder metrics in exploratory analysis, schedule materialized segment loads, and work with two data warehouses during migrations."
}}
>
  ## Target string values with contains

  String targeting conditions now support **contains**, making it easier to match values when an exact, prefix, or suffix comparison is not appropriate.

  ## Reorder metrics in exploratory analysis

  Metrics in the metrics explorer can now be reordered, giving you more control over how an analysis is organized and presented.

  ## Schedule materialized segment loads

  Materialized segments support scheduled load jobs. Owners can configure when segment data should be refreshed and follow the status of those jobs.

  ## Additional improvements

  * Use two data warehouses during a warehouse migration.
  * Search for metric display names containing percent signs.
  * Edit credential display names.
  * Configure verified login domains through account administration.
  * GitHub Enterprise Cloud repositories are supported by GitHub integrations.
</Update>

<Update
  label="July 31, 2026"
  description="Metric lifecycle management and improved flag configuration"
  rss={{
title: "Confidence product update—July 2026",
description: "Create and publish draft metrics, manage archived metrics, and configure flag rules more easily."
}}
>
  ## Manage the metric lifecycle

  Metrics can now be created as drafts and published when they are ready for use. Lifecycle states are visible in metric lists and pickers, and metrics can be archived or restored.

  Verified and code-managed indicators make it clearer which metric definitions have been reviewed or originate from a repository.

  ## Configure flag rules more easily

  The flag rule creation flow has been redesigned with clearer targeting controls and a more focused configuration experience.

  ## Explore metric definitions

  Open a metric directly in the metrics explorer with its relevant configuration already selected. Metric diagnostics also expose more of the data behind calculations.

  ## Additional improvements

  * Filter the metrics catalog by lifecycle state.
  * Select numerator and denominator filters in the metric explorer.
  * Choose an owner when creating a materialized segment.
  * Access documentation, the blog, and support through the header help menu.
</Update>

<Update
  label="June 30, 2026"
  description="Metric exploration and materialized segment details"
  rss={{
title: "Confidence product update—June 2026",
description: "Create metrics from the metrics explorer and inspect materialized segments."
}}
>
  ## Create metrics from the metrics explorer

  The metrics explorer can now create a metric or measurement from the current analysis. Metric filters support **contains** and **does not contain**, and metric pickers show the preferred direction of each metric.

  ## Inspect materialized segments

  Materialized segment details now include Bloom filter information, making storage and distribution characteristics easier to understand.

  ## Additional improvements

  * Rollout schedule editing and validation are clearer.
  * Group identities appear in identity selection.
  * Theme names can be edited inline.
  * Flag rule cards display readable country names instead of country codes.
</Update>

<Update
  label="May 31, 2026"
  description="More flexible flag management, surface filtering, and experiment configuration"
  rss={{
title: "Confidence product update—May 31, 2026",
description: "Archive flags more easily, filter experiments by surface properties, and configure experiments more flexibly."
}}
>
  ## Archive flags with active rules

  Flags can now be archived without first removing all active rules. This simplifies cleanup while preserving the flag's existing configuration and history.

  ## Filter experiments by surface properties

  Experiment lists on surface pages can be filtered by property, making it easier to find experiments that affect a particular part of a surface.

  ## Additional improvements

  * Randomization and allocation can be optional where the workflow supports it.
  * Metric SQL previews correctly support `LIKE` filters.
  * Exposure filters are preserved when metric data is updated.
  * The updated flag page is now the default experience.
</Update>

<Update
  label="May 20, 2026"
  description="Fact table dimensions, automatic flag cleanup, and improved multi-variant experiments"
  rss={{
title: "Confidence product update—May 20, 2026",
description: "Explore fact table dimensions, automate flag cleanup, filter ratio metric numerators, and configure multi-variant experiments more easily."
}}
>
  ## Explore fact table dimensions

  Explorations can now use dimensions from the fact table that backs a metric, in addition to dimensions from related dimension tables.

  ## Automate flag cleanup

  [Automatic flag cleanup](/docs/flags/flag-cleanup) runs scheduled checks for unused flags. Agents can remove unused flags from your codebase and archive them in Confidence. The first release supports GitHub and Cursor, with more integrations and cleanup capabilities planned.

  To get started, go to **Flags** and select **Cleanup**.

  ## Filter ratio metric numerators

  Ratio metrics now support filters that apply only to the numerator. This gives you more control over which events contribute to the numerator without changing the denominator.

  ## Configure multi-variant experiments

  Experiments with more than two variants now have simpler weight selection. The transition from an A/B test to a rollout also preserves multi-variant configurations more smoothly.

  ## Additional improvements

  * Confidence has an updated look and feel, which is rolling out gradually.
  * Cloudflare telemetry is more reliable.
</Update>

<Update
  label="April 22, 2026"
  description="Webhooks, HyperLogLog metrics, and activity feeds"
  rss={{
title: "Confidence product update—April 22, 2026",
description: "Send activity notifications through webhooks, use HyperLogLog metrics, and follow resource activity from the home page."
}}
>
  ## Receive activity notifications through webhooks

  [Webhooks](/docs/notifications/webhook-configuration) can send Confidence activity notifications to your HTTPS endpoint. Use them with external systems, monitoring tools, or custom notification workflows.

  ## Use HyperLogLog metrics

  Confidence now supports HyperLogLog metrics for approximate distinct counts over large datasets.

  ## Follow resource activity

  The home page now includes an [activity feed](/docs/notifications/activity-feeds) for important events from resources you follow. You automatically follow resources that you create.

  ## Additional improvements

  * Result pages load faster.
  * Selecting environments in flag rules is easier.
</Update>

<Update
  label="March 10, 2026"
  description="A redesigned report editor and experiment workflow improvements"
  rss={{
title: "Confidence product update—March 10, 2026",
description: "Create richer experiment reports, use new targeting criteria, coordinate experiments more clearly, and estimate experiment duration."
}}
>
  ## Create richer reports

  The [report editor](/docs/experiments/reports) has been redesigned. It now includes templates, an AI writing assistant, more formatting options, image uploads, and metric tables. Open it from the **Reports** tab of any live or completed experiment.

  ## Target string prefixes and suffixes

  New **starts with** and **ends with** criteria support rules such as targeting users whose email address ends with a specific domain. This capability is available as a beta.

  ## Coordinate experiments with exclusivity guidance

  Exclusivity groups can now be marked as required or suggested for a surface. These settings make the intended coordination between experiments clearer.

  ## Estimate experiment duration

  The updated [sample size calculator](/docs/experiments/sample-size-calculator) is now available to everyone. It estimates how many days an experiment design requires and provides a visual breakdown of its sample size requirements.

  ## Additional improvements

  * Ratio metrics support numerator-only filters.
  * Configure the initial reach of a rollout from the sidebar.
  * Launch and end notifications in Slack include the hypothesis, variants, targeting, results, surfaces, and owner.
  * Entity pages support editing more properties, including the display name.
</Update>

<Update
  label="February 24, 2026"
  description="AI experiment reviews, expanded MCP tools, and sample size forecasting"
  rss={{
title: "Confidence product update—February 24, 2026",
description: "Use the AI review agent, inspect flag history through MCP, forecast experiment duration, and connect agents to experiment data."
}}
>
  ## Review experiments with AI

  The [AI review agent](/docs/how-to-guides/create-review-agent) is now available to everyone. It helps teams review their experiments autonomously against your organization's guidelines.

  ## Inspect flags through MCP

  The Flag MCP server has three new capabilities:

  * Pass `summary=false` to `getFlag` to retrieve detailed rule configurations and timestamps.
  * Use `getFlagHistory` to see who changed a flag, which fields changed, and when. You can filter the history by date range.
  * Use `getIdentityInfo` to resolve identity references to readable names when reviewing flag history.

  ## Forecast experiment duration

  The sample size calculator beta now estimates expected traffic, shows how expected and required sample sizes change over time, and predicts how many days an experiment needs to run.

  ## Access experiments through MCP

  The new Experiments MCP server is available as a beta. AI agents can list experiments, inspect individual experiments, read results, and retrieve related metric and fact table definitions.
</Update>

<Update
  label="February 9, 2026"
  description="Labels, local OpenFeature providers, and SDK improvements"
  rss={{
title: "Confidence product update—February 9, 2026",
description: "Organize resources with labels, resolve flags locally with OpenFeature providers, and use improved Go and JavaScript SDKs."
}}
>
  ## Organize resources with labels

  [Labels](/docs/labels/introduction) are now available for flags, metrics, A/B tests, and rollouts. Create your own labels to categorize resources and make them easier to find.

  ## Resolve flags locally

  Production-ready [local OpenFeature providers](/docs/flags/local-resolver) are now available for Go, JavaScript, Java, and Rust. They provide near-zero-latency flag resolution and greater resilience.

  ## Additional improvements

  * Select all metrics returned by a search in the metric picker.
  * Boolean flags automatically populate treatments when you create an A/B test.
  * Large exploratory analyses load faster.
  * The Go OpenFeature provider supports native Go structs for stronger type safety and less parsing.
  * The JavaScript OpenFeature provider includes React and Next.js utilities for server-side and client-side feature flags.
</Update>

<Update
  label="January 26, 2026"
  description="Early previews for AI reviews and labels, plus experiment design improvements"
  rss={{
title: "Confidence product update—January 26, 2026",
description: "Preview AI-assisted experiment reviews and metric labels, and configure experiments with optional minimum detectable effects."
}}
>
  ## Choosing proxy metrics

  Our new article, [When proxy metrics shape product development](https://confidence.spotify.com/blog/proxy-metrics), explores the risks of optimizing for a metric that only approximates the outcome you care about.

  ## Early previews

  * An agentic review assistant can check whether rollouts and A/B tests follow your organization's guidelines.
  * Metric labels let you annotate and organize metrics with your own labels.

  These capabilities are available as opt-in previews.

  ## Additional improvements

  * Minimum detectable effect (MDE) is now optional for success metrics.
  * The hypothesis is now in the main experiment design area instead of the sidebar.
</Update>

<Update
  label="January 20, 2026"
  description="Environment-specific flag rules and targeting suggestions"
  rss={{
title: "Confidence product update—January 20, 2026",
description: "Separate flag behavior by environment, get targeting value suggestions, and use improved rollout and flag rule views."
}}
>
  ## Configure environments

  Environments separate flag behavior across deployment stages such as development, staging, and production. Use the same client in several environments while assigning different credentials to each one.

  Flag rules can now apply only in selected environments. To get started, configure your environments, assign client credentials, and add environments to your flag rules.

  ## Get targeting value suggestions

  Confidence can suggest recently used values when you configure targeting. Mark non-personally identifiable information (non-PII), such as an app version, in your context schema override to enable suggestions for that field.

  ## Additional improvements

  * React to comments and review responses with emoji.
  * View rollout progress in the overview table.
  * Set and format hypotheses with Markdown more easily.
  * Flag filter conditions have a clearer visualization.
</Update>