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Custom Date Range for Reports
Currently, reports for properties, property groups, individual cleaners, and individual inspectors can only be generated on a month over month basis. Allow reports to be generated for any custom date range.
Show Issues by Property in Multi-Property Reports
Delineate issues by property in reports that contain multiple properties.
Allow users to download/export reviews as spreadsheet
Users need the ability to download or export reviews from the platform. This feature should include options to filter reviews by date range (e.g., by month) to support external analysis. The current "all properties all categories" report lacks drill-down capabilities, making it difficult for users to get detailed review information for analysis purposes.
Native Asana integration
It would be great to have an Asana integration for a task to be created when a review is predicted to be low or anything else!
Grouped conditional logic and negation in the rules engine
The rules engine currently supports only flat, single-condition logic, so operators can't express compound criteria in one rule. There's no way to group conditions with AND/OR, nest groups, or negate a condition (NOT / exclusion). As a result, any logic more complex than a single condition has to be split across multiple near-duplicate rules — which multiplies setup time, invites inconsistencies, and compounds across organizations that mirror rules across many accounts. A common case is targeting multiple OTAs in one rule: today that requires a separate rule per channel because the conditions can't be combined. Requested Enhancement: Support grouped conditional logic — combine conditions with AND/OR and nest groups within a single rule. Support negation — allow a condition to be expressed as NOT / exclusion (e.g., all channels except one, or fire unless a condition is met). Handle channel-specific condition validity within compound rules: Google (GMB) has no cleanliness sub-score, and a normalized Airbnb 4/5 vs. a Booking 8/10 can mean different things against a single threshold — so warn, auto-skip, or scope conditions per channel where a sub-score or scale doesn't apply. Benefit: Grouped logic and negation would let a single rule express what today takes many, cutting duplicate rule creation, reducing inconsistencies across channels and accounts, and lowering setup and maintenance overhead. Multi-OTA targeting becomes a natural outcome rather than a special case, and operators gain the expressiveness to model real-world routing and exclusion logic in one place.
Receive Negative Predictions Before Guest Departure
As a user, I want to receive negative predictions before a guest checks out. Currently, predictions are sent at the time of departure, which leaves no time to address guest issues. Receiving these alerts earlier would allow me to proactively contact the guest, resolve their problems, and potentially prevent a negative review.
Enhanced Task Management
Build a Kanban board and basic task mangement system in Sparrow Intel. Allow for basic task management within Sparrow and also provide the option to fully sync tasks with your PMS or Breezeway for more advanced task management. Augment with AI insights for reoccurring tasks, etc.
Show exact data source in Insights
Chad. We are spending a lot of time searching through Sparrow trying to find the specific Prediction or Review being referenced in the Insights and Predictions. It makes the process significantly more efficient. Currently the hotlinks go to the property and you have to hunt and peck to try and find the Review or Prediction. You don’t know what the source is and sometimes you can’t find the source complaint or comment at all. This would be a significant improvement in the software. If we can’t trace the issue to the source it makes it very difficult for us to undertand exactly what happened and how to try and prevent a repeat.
Enhancing Chirp AI
It would be incredibly valuable if we could feed Chirp AI with feedback on responses, allowing it to learn how we communicate as a brand - picking up on our tone of voice and style of interaction.
Static Feedback Request Links
Get static feedback request links to send to guests outside of Sparrow Intel.
Add custom dates and other filters to Dashboard
@Chad McGuire (Sparrow Intel) - Combining feature requests for enhancing our dashboard into one for better tracking! Feature Request #1: Would like to be able to apply custom filters to the Dashboard to be able to view the KPIs for specific date ranges. Feature Request #2: The Dashboard view is great and we really like all it has to offer here; however, we do a lot of weekly reporting, so we would like the date filter here to also be more granular than monthly. The other thing that was noticed that is not here is an Average Star Rating. We see the Volume numbers and Total Reviews, but there is not an Average Star Rating. Also the only Category that we see here is Cleanliness. Is there a place on the Dashboard to find/filter the other Categories?
Filter reviews by Published
Problem / context Reviews can be marked Published from the review inbox or by a Set Published rule action. Published controls which reviews appear in Review Widgets set to show only published reviews, and it is available through the Public API. The review inbox has no filter for it, so teams can't list the reviews that are live on their website or find the ones still waiting to be published. Requested capability A Published filter in the review inbox. Detail / spec Published and Not published options. Combines with the existing review filters (source, rating, property, property group, date). Can be saved as part of a custom filter view. Review exports respect the filter. Acceptance criteria Filtering by Published returns exactly the reviews marked Published. Filtering by Not published returns the rest. Publishing or unpublishing a review moves it in or out of the filtered list.
Operto Integration
Integration with Operto so Sparrow Intel can create maintenance and cleaning tasks in Operto from issues guests report in messages and reviews, using rules like Maintenance Issues and Cleaning Issues from Predictions.