Ship faster with risk-free feature testing

Test new features directly in your code for rapid iteration and deployment, without slowing down your dev team—flag features, control rollouts, and rely on data you can trust.

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Rollout Ready

100% safe

Feature Test Results

Live rollout

98.7% confidence

Control (Flag off)

2.1%

Conversion rate

Variant (Flag on)

3.4%

+62% improvement

Feature adoption over time

8,320

Users exposed

5 days

Test duration

+$28K

Projected lift

Join the leading brands using CROforce

Test features at every stage of the product lifecycle

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Release pipeline

Feature A

100%

Feature B

70%

Feature C

40%

Scale feature releases

Skip heavy deployments and run multiple tests at once to speed up release cycles.

Kill switch

New checkout flow

Live

Error rate: 0.02%

Instant rollback

De-risk release cycles

Wrap high-stakes changes in feature flags that instantly hide features if something goes wrong.

Iteration cycle

v1.0

CR: 2.1%

v1.1

CR: 2.9%

v1.2

CR: 3.7%

Enable iterative development

Improve features continuously based on live performance data and real user feedback.

MVP validation

Feature ON

4.2%

Engaged

Feature OFF

2.8%

Baseline

✓ Validated — proceed to full build

Validate MVPs

Verify whether users actually want a feature before investing development time and resources.

UX/UI test

New layout

Current

Validate UX/UI changes

Test layouts and designs by observing how real visitors navigate your product in real time.

Personalization

Enterprise

CR: 5.1%

Advanced dashboard

SMB

CR: 4.3%

Quick setup wizard

Create personalized experiences

Serve different features, offers, and experiences to user cohorts based on specific attributes.

Simplify feature experimentation and delivery

Define your hypothesis

Document what you're testing and the expected outcome so your team stays aligned.

Set conversion goals

Connect tests to your primary KPIs and set secondary metrics to monitor for unintended side effects.

Segment your audience

Target users based on behavior, device, geography, or custom attributes.

Allocate traffic

Define exactly what percentage of users enter the experiment and adjust mid-test.

Build your test variants

Create variations using our WYSIWYG visual editor for simple changes or code editor for complex modifications.

Preview before launch

Simulate and QA your test variations in a production environment before going live.

Maintain full control over every release

Feature flags

Turn features on or off for any user group with a single click—no coding or deployments required.

Canary launches

Introduce new features to a small percentage of users first and monitor stability before rolling out to everyone.

Instant rollbacks

Use a built-in kill switch to immediately revert a feature for all users if performance thresholds are breached.

Multi-armed bandit

Automatically redirect traffic toward the highest-performing variation during the experiment.

Ship twice as fast with half the worry

Take the risk out of your release cycle with feature flags, controlled rollouts, and real-time performance monitoring.

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Validate every change with precision analytics

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Live monitoring

Flag ON

3.8%

Flag OFF

2.4%

System health: nominal

Track results in real time

Monitor live feature test results, track exposure events, and check system health to debug issues proactively.

Performance report

Conversions

+58%

Revenue

+$28K

Engagement

+34%

Guardrail metrics

Latency

No impact

Error rate

0.01%

Get detailed performance reports

Track north star metrics—conversions, revenue, engagement—alongside guardrail metrics like latency, error rates, and system health.

Robust infrastructure for high-impact feature experimentation

Client-side testing

Run UX/UI experiments with lightweight SDKs for fast and frictionless front-end testing.

Server-side testing

Test deep backend logic, algorithms, and infrastructure changes with secure, robust server-side support.

User persistence

Keep every user on their assigned variation across sessions, devices, and browsers for a consistent experience.

Mutual exclusion

Prevent data contamination between overlapping experiments with advanced isolation logic.

Dynamic configuration

Update UI elements, rules, thresholds, and logic on the fly without redeploying.

Approval workflows

Maintain governance by assigning roles, managing rollout permissions, and tracking changes with audit logs.

Zero-latency SDKs

Run experiments on high-performance architecture built to protect Core Web Vitals, maintain page speed, and eliminate flicker.

Data security

Keep your data protected with enterprise-standard encryption, along with GDPR compliance and SOC 2 certification.

Integration

Sync your experiment data with your existing analytics and tech stack through native integrations.

Want a dedicated team managing your feature tests?

Let our experts handle your entire feature testing program—from hypothesis development and technical setup to monitoring, analysis, and rollout—so you can ship faster without stretching your team.

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Want a dedicated team managing your feature tests?

Get enterprise-grade security and scale

Book a demo Talk to an expert

Flag lifecycle management

Identify stale flags, automate cleanup, and reduce technical debt so your system stays lean as you scale.

Edge support

Deliver experiments instantly through a global CDN with lightning-fast response times.

Runtime control

Make live changes to features and configurations without requiring app updates or restarts.

Quickly integrate with your existing tech stack

FAQs

Does the platform support both client-side and server-side testing?

Yes. You can run client-side experiments for front-end UI changes using lightweight SDKs, and server-side experiments for deeper backend logic, algorithms, and infrastructure changes. Use either approach or combine them depending on what you're testing.

How do feature flags work?

A feature flag is a toggle that controls whether a specific feature is visible or active for users. Wrap new code in a flag, deploy it to production, and then control who sees it—by user segment, percentage, or attribute—without additional deployments. If something goes wrong, turn the flag off instantly.

When is it best to use feature flags rather than traditional full deployment?

Use feature flags when you want to decouple deployment from release, meaning your code goes to production but the feature isn't visible until you're ready. This is especially valuable for high-risk changes, gradual rollouts, MVP validation, or when you want to A/B test a new feature against the existing experience before committing.

How does the platform ensure consistent, low-latency experiences across the stack?

Our SDKs are built for zero-latency performance with local evaluation, meaning flag decisions are made on the device or server without round-trip API calls. Combined with edge delivery via our global CDN, experiments load instantly with no measurable impact on page speed or Core Web Vitals.

Can I run multiple experiments at the same time without them clashing?

Yes. Our mutual exclusion logic isolates experiments from each other so overlapping tests don't contaminate results. You can run as many concurrent experiments as you need with confidence that each one's data is clean.

Does this work for both web and mobile applications?

Yes. Our SDKs support both web and mobile environments, so you can run feature experiments across platforms with consistent targeting, variation assignment, and reporting.

What happens to my site if your service goes down?

Nothing breaks. Our SDKs are designed to fail gracefully—if our service is unreachable, the SDK falls back to default values so your users always see a working experience. There's no single point of failure that could take down your site or app.

When is it recommended to use feature flags rather than other testing methodologies?

Feature flags are the right choice when you need to test changes at the code level—backend logic, new functionality, infrastructure changes, or features that require deployment. For front-end visual changes like layout, copy, or design variations, standard A/B testing or multivariate testing through a visual editor is typically faster and doesn't require developer involvement.

Who is feature experimentation useful for?

Feature testing is primarily used by product and engineering teams who want to ship faster without risking stability. It's also valuable for growth teams running experiments on product features, and for any organization that wants to separate deployment from release to reduce risk and increase development velocity.

Still have questions?

Talk to an expert about your development goals and see how CROforce can help you ship faster with less risk.