Product data should make the next decision easier, not create another reporting ritual. Strawberry can query Amplitude funnels and segmentation, list or download cohorts, inspect chart annotations, and connect those results to the product, support, and planning context in the rest of your browser.
Use it to investigate a conversion change, create a careful cohort handoff, annotate an important event, or produce a short evidence-led product review.
01
Ask a funnel question with its scope intact.
A conversion rate alone does not tell a product team what changed.
You need the journey, the time range, the population, and a clear way to compare the result with a useful baseline.
Strawberry can query Amplitude funnels and bring the surrounding release, support, or experiment context into the review. The resulting brief gives a team a reproducible question instead of an unexplained percentage.
02
Use segmentation to find a useful difference.
Averages can conceal the group that actually needs attention.
A feature may look stable overall while a country, plan, or new-user segment has a very different experience.
Strawberry can query Amplitude segmentation for the chosen event and properties, then organise the result around the decision at hand. It can also flag when the available slice does not justify a strong conclusion.
03
Move cohorts with a reason and a record.
A cohort can be useful for research, a campaign, or a product follow-up, but exporting or uploading one without a documented definition creates downstream confusion. The recipient needs to know who is included and why.
Strawberry can list cohorts, download their files, poll an export when required, and upload a new cohort after you have reviewed the inputs. It can frame the operation as a handoff with membership logic and intended use, not just a file transfer.
04
Preserve the context behind a chart movement.
A chart viewed six weeks later often loses the release, incident, or campaign event that made it interpretable. Annotation is valuable when it adds real operational context rather than narrative after the fact.
Strawberry can list chart annotations and prepare or create a specific annotation when you supply the verified event details. A saved product-review skill can also keep the same investigation method in use across weekly analytics work.
Yes. The native Amplitude operations include funnel and segmentation queries for the parameters you specify.
Yes. It can list cohorts, request and poll downloads, retrieve cohort files, and upload a cohort after you review the intended membership and purpose.
It can list, create, and delete chart annotations. Confirm the chart, timestamp, and factual wording before changing a shared chart.
Those are supported native operations. They change analytics data, so use a clear approval boundary and verify the exact event or user properties first.
Yes. Test a read-only funnel or segmentation review as a skill, then configure a routine around an agreed scope and recipient.
Amplitude Strawberry