Turn Jira into a real-time product intelligence system

Your backlog shows what you’re building. Samepage shows what you should be building next.

Connect Jira to Samepage and continuously analyze issues, epics, and team activity to surface patterns, identify gaps, and generate product decisions grounded in real data.

Built for teams that live in Jira

If you’re using Jira, your product work is already structured:

Issues, epics, sprints, workflows, priorities.

But Jira tells you:

  • What’s in the backlog

  • What’s in progress

  • What’s shipped

It doesn’t tell you:

  • What’s missing

  • What patterns exist across issues

  • Whether your backlog reflects real customer needs

Samepage is built for teams who want their backlog to be intelligent—not just organized.

The problem with Jira today

Jira is powerful—but it’s still a system of record.

So teams run into this:

  • Backlogs grow without clear prioritization logic

  • Duplicate or overlapping issues slip through

  • Customer feedback doesn’t fully translate into tickets

  • Trends across issues are hard to see

You’re shipping work—but not always confident it’s the right work.

What Samepage does differently

Samepage treats Jira as a dynamic dataset—not just a ticketing system.

Instead of manually reviewing issues or relying on intuition, you define Signals that continuously analyze your backlog.

You can ask:

  • “What themes are emerging across recent issues?”

  • “What customer problems are not represented here?”

  • “Where are we duplicating effort?”

Samepage connects the dots across issues, epics, and activity—and turns them into structured insights and recommendations.

How it works

  1. Connect Jira
    Samepage ingests issues, epics, sprints, and metadata.

  2. Create a Signal
    Use Jira as a data source and define what to analyze, like:
    “Analyze issues created in the last 2 weeks and group them into themes.”

  3. Run continuous analysis
    Signals update as issues are created or updated.

  4. Get structured outputs
    Instead of scanning tickets, you get patterns, gaps, and recommendations.

Key use cases

1. Identify gaps in your backlog
Compare Jira issues with customer feedback from other sources.
Example output:
“‘Export data’ requested in 22 customer conversations, no corresponding Jira ticket exists.”

2. Detect duplicate or overlapping work
Analyze issues across teams and projects.
Example:
“5 issues across 2 teams address similar onboarding friction—consolidation recommended.”

3. Understand what your team is actually working on
Group recent issues into themes.
Example:
“Last 40 issues cluster around bug fixes (49%) and infrastructure work (31%), with limited work on new features.”

4. Track shifts in priorities over time
Analyze sprint and issue trends.
Example:
“Infrastructure work has increased across the last 3 sprints, while feature development has declined.”

5. Turn backlog data into product decisions
Generate recommendations based on patterns.
Example:
“High volume of small UX issues suggests need for a dedicated usability sprint.”

Before vs After

Before Samepage
You scroll through Jira boards, read tickets, and try to piece together what’s happening. Prioritization is driven by intuition and fragmented context.

After Samepage
Signals give you a clear, continuous view of your backlog—what’s trending, what’s missing, and where to focus next.

What Jira data Signals can analyze

Samepage works directly on your Jira workspace, including:

  • Issues (titles, descriptions, comments)

  • Epics and initiatives

  • Sprints and timelines

  • Status, priorities, and workflows

  • Labels, components, and ownership

No exports or restructuring required.

Why not just use Jira alone?

Jira is excellent for managing work. It’s not designed for synthesis.

  • It doesn’t identify patterns across issues

  • It doesn’t connect backlog data to customer feedback

  • It doesn’t highlight gaps or duplication

You can search and filter—but you’re still doing the thinking manually.

Samepage sits on top of Jira and answers:

“What does our backlog actually tell us—and what should we change?”

Jira integration for backlog analysis and product insights

If you’re trying to get more value from Jira—whether that’s improving prioritization, analyzing work patterns, or connecting backlog data to product strategy—Samepage gives you a system that goes beyond issue tracking.

Instead of manually reviewing tickets or relying on gut feel, you can define exactly what you want to learn from your backlog and let Signals surface it continuously.

This is especially useful for product teams that want to move fast without losing clarity on what matters.

Turn your backlog into a decision engine

Connect Jira to Samepage and define your first Signal in minutes.

Stop managing tickets. Start understanding them.

Signals by

Samepage

Always be on the same page.

Never miss anything again.

Signals monitor and surface the most critical information and insights for you, automatically, in one place.

© 2026 Samepage, Inc.

*Samepage uses large language models (LLMs) to generate summaries, answers, and drafts. AI-generated content may occasionally be inaccurate, incomplete, or misleading. Users are responsible for reviewing and verifying outputs before relying on them for decisions or external communication.

Signals by

Samepage

Always be on the same page.

Never miss anything again.

Signals monitor and surface the most critical information and insights for you, automatically, in one place.

© 2026 Samepage, Inc.

*Samepage uses large language models (LLMs) to generate summaries, answers, and drafts. AI-generated content may occasionally be inaccurate, incomplete, or misleading. Users are responsible for reviewing and verifying outputs before relying on them for decisions or external communication.

Signals by

Samepage

Always be on the same page.

Never miss anything again.

Signals monitor and surface the most critical information and insights for you, automatically, in one place.

© 2026 Samepage, Inc.

*Samepage uses large language models (LLMs) to generate summaries, answers, and drafts. AI-generated content may occasionally be inaccurate, incomplete, or misleading. Users are responsible for reviewing and verifying outputs before relying on them for decisions or external communication.

Signals by

Samepage

Always be on the same page.

Never miss anything again.

Signals monitor and surface the most critical information and insights for you, automatically, in one place.

© 2026 Samepage, Inc.

*Samepage uses large language models (LLMs) to generate summaries, answers, and drafts. AI-generated content may occasionally be inaccurate, incomplete, or misleading. Users are responsible for reviewing and verifying outputs before relying on them for decisions or external communication.