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- Team LaunchNotes
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- Domain audience segmentation
Feature Friday - September 2: Feature enhancements and weekly bug fixes
We have a few presents before you sign off for the weekend!
And a special shout out to Matt, our engineer extraordinaire responsible for this week’s update to our subscriber management capability: bulk subscriber export!
Well, that’s not all we’ve been working on this week. We’re happy to report we zapped a number of bugs that were reported or observed.
Bugs fixes in the management portal and to the API
Subscription management page: we did some page redesign for desktop and mobile - icons, title, and toggle are now all center aligned. Customer, published pages when viewed on mobile look particularly great Addressed.
Idea show page in management: when opening/refreshing an idea show page, before content loaded, a glitchy flash of "No idea found” was reported. Fixed.
LaunchNotes API: 503 error or “service unavailable” was reported and observed when trying to access the API. Resolved.
On deck for September
Domain Audience Segmentation
We’ve developed some insights from customer feedback and our own 1st party research: we identified LaunchNotes users need information grouped by the companies they serve, not just the individuals at those companies.
To deliver this level of insight, we’ve started working on grouping page subscribers under their email domains, and providing a Domains table in the management portal. Domains will appear in the audience management section of the portal, beneath Subscribers. Additionally, we will be introducing detailed views for individual subscribers and domains. Between the new table and the detailed views, you will be able to find:
The list of the subscribers with the matching email domain
The count and list of feedback and votes left by subscribers of the domain
The “first seen” date, which is the earliest created_at date of matching subscribers
The average sentiment of feedback left by subscribers of the domain
That’s right - we’re introducing machine learning-powered natural language processing to evaluate the emotional tone behind feedback in LaunchNotes. You’ll be able to quickly find the positive and negative feedback, and identify which customers are expressing these sentiments. More to come on this in the next few weeks!
We’re excited about this work as it represents another step toward basic and advanced data enrichment that LaunchNotes can harness for deeper insights and more accurate prioritization.
We welcome and encourage your feedback!
Are you as excited about what we’re working on as we are? What do you think about our plans for domain audience segmentation? Leave us some feedback and let us know!
In the meantime, we hope you have a restful, relaxing, and recharging weekend!