# Turn reviews into actionable insights

Source: [Subview](https://subview.ai/product)

Find opportunities across your own products and competitors, with recommendations informed by your product, audience, and team goals.

## A recommendation you can examine and act on

Use the findings to focus discovery, shape a feature plan, and choose marketing experiments worth running.

### The problem or opportunity

What users are struggling with, asking for, or finding valuable.

### The evidence

Supporting reviews that let your team examine the finding.

### The recommended action

A concrete improvement or experiment to consider.

### The reason to prioritize it

Why it deserves attention in the context of your goals.

### A way to check the result

What to validate with your own data, research, or experiments.
## Illustrative example: Make booking confirmation clear

Booking experience

Users cannot tell whether their booking is confirmed or still awaiting a response.

User evidence: Recurring reviews describing uncertainty after submission provide the basis for investigating the issue.

Product recommendation: Make confirmation and status clear, including what happens next and whether the user needs to take action.

Marketing recommendation: Explain the booking process and confirmation expectations clearly in onboarding and relevant communications.
Reason to prioritize: If improving booking completion is a team goal, uncertainty at this step makes the issue relevant to investigate.

How to validate: Check whether the changes improve booking completion and reduce related complaints.

## From scattered reviews to a clear next step

Find opportunities across your own products and competitors, with recommendations informed by your product, audience, and team goals.

### Bring the feedback together

Read reviews across stores and platforms in one place. Follow your products and competitors, understand feedback with review translations, and keep up through regular digests with AI summaries.

### Put your goals in context

Give Subview context about your product, audience, and the decisions your team needs to make. Recommendations account for those goals.

### Understand what to do and why

Each actionable insight connects a problem or opportunity to the reviews behind it. It proposes an action, explains its priority, and suggests how to check the result.

### Give each team a useful next step

Get separate recommendations for product and marketing. Both teams work from the same user evidence, with actions relevant to their goals.


## Bring your reviews into your AI assistant

Connect Subview through MCP with OAuth sign-in to explore your team's reviews, compare feedback and read the evidence behind an answer.

Your assistant can read the data available to your account. You can review and disconnect each assistant in your workspace.

[Learn how to connect your assistant](https://help.subview.ai/mcp.md)

## See what your team could act on next

Tell us about your app, your goals, and the decisions you want to make. We'll focus the conversation on what matters to your team.

[Book a Demo](https://subview.ai/book-a-demo)