As an app developer, your priority is shipping features that improve the user experience. But once a feature goes live, the challenge begins: how do you know it’s working?
Do users engage with the new flow? Does it affect retention or session time? In most cases, getting those answers involves waiting for a product manager or data analyst to run queries, generate charts, or surface insights.
That’s where Bora AI changes the game.
With Bora, you can ask direct, natural-language questions about your app’s usage and get clear answers—instantly. Whether you’re tracking a new screen, button tap, or session flow, Bora simplifies product validation.
Developer Pain Points: Why Feature Validation Slows You Down
Here are the common roadblocks most developers face after releasing a new feature:
🔁 Too many steps between coding and learning
You code the feature → wait for analytics to catch up → ask the PM → wait for a report. That feedback loop kills momentum.
📊 Over-reliance on dashboards you don’t control
Dashboards are often owned by marketing or product teams. If they weren’t set up for your new feature, you’re out of luck until someone adds the right chart.
💬 Limited access to raw data
Even if you know what to look for, writing SQL or navigating a BI tool isn’t your focus. You want a fast answer—not a second job.
Real Example: The Smart Feed Button Launch
Let’s say you just shipped a new feature called Smart Feed—an intelligent content module on your app’s home screen. You suspect it improves user engagement, but you’re not sure how to prove it.
Insight: The feature improves engagement.
Decision: You flag this win to your team and prioritize more content feed enhancements in the next sprint.
All without switching tools, writing code, or calling a meeting.
Bora’s Role in Your Workflow: What Happens Behind the Scenes
When you ask Bora a question, it:
- Understands your intent using natural language processing
- Finds relevant events and user actions in your connected data sources
- Analyzes the data using built-in logic for funnels, comparisons, and summaries
- Returns insights in plain English, with visuals, charts, or export options
Bora never asks you to configure SQL queries or pre-build dashboards. It adapts to your tracking schema and speaks your language—not the database’s.
Common Developer Questions Bora Can Answer
Here are some prompt examples you can try (more in Prompt Templates for Bora AI):
“Which button was clicked most on the onboarding screen last week?”
“Show me top exit screens for new users in the last 3 days.”
“Did our Android users use the new Explore tab more than iOS users?”
“Compare average time spent in the app before and after launch v2.1.0”
You’ll get visual breakdowns, numbers, and clear next steps.
Want to Try This? Here’s What You Need
Before using Bora effectively, make sure your app has basic analytics in place. You can use any common mobile tracking system, but Bora works best when:
You track core events like screen_view, tap_button, complete_onboarding
You set simple user properties like platform, plan, and region
You follow naming conventions like snake_case for events
📘 Need help? See our Analytics Setup Checklist for developers
Developers Deserve Faster Answers
You shouldn’t need a dashboard or an analyst to understand how your feature is performing. Bora gives you answers, fast—so you can debug, iterate, and build with confidence.
👉 Ready to try Bora? Sign up for beta access