Opsis vs Amplitude: from funnel analytics to a reproduced, fixed flow

Amplitude and Opsis do fundamentally different jobs. Amplitude is a best-in-class product-analytics platform for measuring behaviour: funnels, retention, segmentation and experiments. Opsis is the QA layer that finds the user flows that are actually broken, reproduces them in a browser, proves them on video, and writes the fix. Analytics tells you the funnel dipped; Opsis tells you why and fixes it.

At a glance

DimensionOpsisAmplitude
Primary jobFind, prove & fix bugsProduct analytics & experiments
Reproduces the bug in a browserYes, via Opsis MCP
Proof video of the failureYes
Hands you a copy-paste fixYes, per finding
Pre-deploy QA crawlYes, before-ship
Funnels / retention / experimentsNo (not its job)Yes
Setup effortDrop-in SDK or connect a sourceInstrument events

Opsis

Primary jobFind, prove & fix bugs
Reproduces the bug in a browserYes, via Opsis MCP
Proof video of the failureYes
Hands you a copy-paste fixYes, per finding
Pre-deploy QA crawlYes, before-ship
Funnels / retention / experimentsNo (not its job)
Setup effortDrop-in SDK or connect a source

Amplitude

Primary jobProduct analytics & experiments
Reproduces the bug in a browser
Proof video of the failure
Hands you a copy-paste fix
Pre-deploy QA crawl
Funnels / retention / experimentsYes
Setup effortInstrument events

What Amplitude is great at

Deep product analytics

Funnels, retention, path analysis, segmentation and experimentation at scale. Amplitude is genuinely excellent for understanding how cohorts move through your product.

Experimentation & data governance

A/B tests, feature flags and a strong data model make Amplitude a serious platform for data-driven product decisions.

A funnel drop tells you conversion fell. It doesn't show or fix the bug.

Amplitude can tell you a checkout step lost 8% of users; it can't tell you which sessions were defects, whether the bug reproduces, or how to fix it. The product team sees the dip, then has to find the replay, reproduce the failure, and write the fix manually. Opsis does all of that from the signal onward: detect, reproduce via Opsis MCP, prove on video, return a fix.

How they fit together

Use Amplitude to spot where the funnel breaks, then point Opsis at the affected sessions. Opsis reproduces the failing flow in a browser, proves it on video, and hands you a guard-railed fix. Amplitude measures the product; Opsis fixes the broken flow.

When to use which

Use Amplitude

Reach for Amplitude when you need to measure behaviour: funnels, retention, segmentation, and experiments to decide what to build.

Use Opsis

Reach for Opsis when a metric dips and you need the broken flow reproduced on video and fixed, instead of digging through events to diagnose it.

Together

Best together: Amplitude finds the funnel drop, Opsis reproduces the failing flow and writes the fix.

Questions

Is Opsis an Amplitude alternative?

No. Opsis doesn't do analytics, funnels, retention or experiments. It's the QA layer that reproduces the broken flows Amplitude surfaces and writes the fix. Keep Amplitude for measurement.

How do Opsis and Amplitude work together?

Amplitude shows you where conversion breaks. Point Opsis at the affected sessions and it reproduces the failing flow in a browser, proves it on video, and returns a guard-railed fix.

Does Opsis do A/B testing or analytics?

No. Opsis is focused on finding, proving and fixing front-end bugs. Analytics and experimentation are intentionally left to tools like Amplitude.