I'll connect the feedback to the flow change, document the implementation, and keep sample use separate from activation.
Review the setup feedback and user journey.
Deliver the revised flow and copy.
Define the events and collect the readout.
Your experiments, research, and follow-through, coordinated. Aera is an AI manager that turns growth questions into concrete work and brings the learning back to you.
Hey Aera, manage our onboarding experiment. Help new users understand the product before connecting their data.
Explore the product before connecting data.
I delivered the revised flow, copy, and tracking plan to engineering. I'll follow the test and bring back the findings.
Share the problem and the evidence you already have. Your Manager clarifies what success means, then organizes the research, implementation materials, and measurement.
Test a sample-project option during onboarding. Use our setup feedback and send engineering the flow, copy, and tracking plan.
What counts as activation for this experiment?
I'll connect the feedback to the flow change, document the implementation, and keep sample use separate from activation.
Review the setup feedback and user journey.
Deliver the revised flow and copy.
Define the events and collect the readout.
Aera turns the question into an implementation package your engineering team can use. The flow, copy, and measurement describe the same test.
New users want to understand what the product does before connecting their data.
New users are asked to connect data first.
A sample project offers a way to explore. The existing connection path remains available.
Explore the product before connecting data.
Revised flow, interface copy, event map, and acceptance checks sent together.
Aera defines sample use and activation separately, so opening a demo does not get counted as a completed setup.
Your Manager follows the agreed test, gathers feedback, and delivers a readout that connects what happened to what should change.
The sample explained what a project looks like. I wasn't sure how to replace it with my own data.
The sample helps explain the product. The transition to a user's own data needs a clearer next step.
Connect your data to create your own project.
I linked the feedback to the confusing transition and delivered revised copy for that step. The activation question still needs the agreed test results.
I'll keep collecting the agreed results and report whether the evidence supports keeping, changing, or removing the sample path.
An onboarding experiment is one example. Aera can coordinate the research, execution, and reporting around the opportunities you want to explore.
Aera gathers customer feedback and product information, connects the relevant findings, and brings you testable ideas.
Aera coordinates the copy, implementation materials, and measurement, then follows up on the work and its dependencies.
Aera brings results and feedback together, separates observations from interpretation, and explains the next action.
Keep your attention on where the product can go. Let Aera coordinate the work that helps you find out.