Upgrading Review Automation

Background

Jungle Scout's web app has a unique feature called Review Automation that completely automates the Seller Central review request process. It helps saving time and prevents sellers from missing an opportunity to earn a review.

I identified an opportunity, convinced leadership, and led design to enhance this feature. In addition to bulk automation of review requests, sellers now gained the ability to schedule requests, customize which product listings to include, and access detailed performance analytics.

These enhancements propelled Review Automation to become Jungle Scout’s most successful feature of the year, achieving the highest user adoption rates.

My approach

Review Automation, in its current state, had clear limitations.
After several working sessions with my PM, we sketched a blue-sky vision for a more powerful, upgraded experience.

The next steps was understanding its impact

  1. To validate its impact, I collaborated with Customer Success and Business Intelligence to run regression analysis on churned accounts.

    • The data showed users who disabled Review Automation were significantly more likely to churn.

  2. To deepen our understanding, I reviewed 250+ ProductBoard responses, shadowed support tickets, and conducted user interviews, uncovering how the feature influenced retention and overall experience.

Execution

I identified that our users wanted:

  1. The ability to set custom scheduling for review requests, with controls to exclude malicious orders and high-performing products

  2. Set success metrics with stakeholders took into consideration user and business requirements. These included:

    • Increasing the number of Amazon and Jungle Scout account syncs

    • Increasing the usage of advanced features

    • Increasing account upgrades through RA

  3. Led end-to-end design experience, from wireframe to high-fidelity handoff, followed by testing solutions with internal Amazon sellers.

The process

Cross-team collaboration

Partnering with CX and BI, we uncovered a clear retention signal:

  • 68% of churned users were non-sellers (9,215)

  • 29% were sellers with Review Automation disabled (3,912)

  • Only 3% had Review Automation enabled (433)

Sellers using Review Automation were 89% less likely to churn by month’s end.

I used these findings to build a compelling case for leadership. The data spoke for itself. We secured buy-in, drafted the product brief, and kicked off execution

Designing the solution

Holistic view on review requests

Sellers now get a clear, 30-day overview of how their review requests are performing. I used prominent callout cards to surface the most important metrics at a glance.

They can also view and customize default time delays by marketplace, serving as a starting point for setting a custom schedule.

Setting time delay on a product level

The second level of customization happens at the product level (in Product Setting).

This allows users to set time delay or skip requests for individual parent products or their variants.

Customizing the review requests for an order

The next layer of control lets sellers customize when review requests for an order. Sellers can manually override existing review request settings for a product or marketplace.

Review request logic can be configured directly from the table, with connective tissue to the Product Settings page.

Conclusion

"I LOVE Review Automation. I started using Jungle Scout's new Review Automation in Jan. with 355 review, 7 months later, I currently have over 2000 review"

Kim Meckwood, Click & Carry

"I pay for Jungle Scout because of Keyword Scout, and Review Automation. My favorite part is being able to have different settings for individual listings"

Customer Interview

Project learnings and impact

We successfully launched Review Automation, setting a new internal benchmark for what a sticky, high-impact feature looks like.

Key learnings from the project:

  • Complex logic demands clear guidance. When a feature has multiple layers, every step needs to feel intuitive.

  • Multi-dependent experiences require early, end-to-end journey mapping to avoid fragmentation.

  • Users pay to simplify. Eliminate manual work, and you’ve built a solution that sticks.

Let's collaborate

Got something cooking? Whether it’s just a sketch or fully scoped, I’m happy to help.
Shoot me a note: zaidalirasool@gmail.com

Zaidali Rasool, Rhizhome (C) 2025