Use Cases

Make Confident Decisions with Fast Feedback Loops

May 18, 20255 min read
Product manager analyzing user data with Bora AI

From Hypothesis to Decision — in One Conversation

As a product manager, you live at the intersection of intuition and data. Whether you're shipping new onboarding flows, A/B testing pricing pages, or responding to feature requests, your job is to make smart, user-informed decisions — quickly.

But here's the challenge: getting meaningful data can be slow.

You request a report, wait days for it, then try to make sense of five charts, all while the window for iteration is closing.

That's why Bora AI exists — to make your product feedback loop lightning fast.

PM Pain Points: What Slows Down Decision-Making

🕰️ Data access is delayed

You rely on analysts to run queries or BI dashboards to get answers — but they're always busy or not configured for your question.

📉 Dashboards don't answer real product questions

You don't care about generic KPIs. You want to know "Did this new flow improve retention for Android users?" and most dashboards aren't built for that level of nuance.

🧩 Too many moving parts

Between qualitative feedback, marketing tests, and product data, you're juggling inputs without a clear view of cause and effect.

Real Example: Measuring Onboarding Improvements

You recently redesigned your app's onboarding experience and launched it on March 15. Now leadership wants to know: "Did it work?"

Instead of opening a ticket or sifting through retention graphs, you just ask Bora:

B
Bora AI
Compare first-day retention before and after our new onboarding launched on March 15.
You
Retention increased from 36% to 52% post-launch. The biggest improvement was among iOS users (+21%).
Bora
First-day Retention (%)
36%
Before
52%
After

Outcome:

You export the visual and drop it into a leadership slide

You greenlight the iOS changes for Android rollout

You flag iOS adoption patterns for further feature expansion

All in one conversation.

Bora's Impact: PM Tools, Reimagined with AI

Here's how Bora fits into your product decision workflow:

  1. 1

    You frame a question in plain English

  2. 2

    Bora finds and compares relevant data patterns

  3. 3

    You receive structured answers + charts

  4. 4

    You share instantly with your team

Bora doesn't just show metrics. It interprets behavior and surfaces patterns — in user terms.

🔗 Want to learn how to ask better product questions?
Check out: Prompt Templates for Bora AI

Common PM Use Cases Bora Solves Instantly

🧪 Experiment tracking:

"Did the new pricing model reduce trial churn?"

📱 Feature validation:

"Compare usage of the Save feature before vs. after v2.4.1"

🧍‍♂️ User behavior segmentation:

"Which user group had the lowest onboarding completion?"

📤 Stakeholder reporting:

"Summarize this month's retention by platform and user plan"

Each insight is delivered with visual summaries, plain-English analysis, and shareable exports.

PM Tip: Connect Your App Data Once, Then Ask Freely

Bora connects to your existing analytics layer (e.g., mobile event tracking tools) and doesn't require you to set up reports or dashboards.

With the basics in place (see our Mobile App Analytics Checklist), you can explore product performance at will, even mid-meeting.

Final Takeaway: Product Speed is Competitive Advantage

Great PMs move fast — not just with features, but with insights. Bora helps you learn from user behavior instantly, reduce reliance on slow tools, and validate the ideas that move your product forward.

👉 Want to experience it yourself? Request early access to Bora AI

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