Introducing Libra: The AI Tool Making Great Work Visible

introducing libra

The work you don’t see is the work that gets missed.

Maybe it’s the teammate who quietly picked up the slack while someone was out sick. Or the one who helped unblock a project—without being asked. Or the person who keeps morale up in tough sprints, even though it’s not in their job description.

In distributed teams, these moments often slip through the cracks. They don’t show up in JIRA tickets or dashboards. They’re rarely spoken about in status meetings. And when performance reviews come around, they’re forgotten—if they were noticed at all.

That’s a problem. Because if we only recognize what we can measure, we end up rewarding visibility—not value.

It’s time for a new way.


What If You Could See the Effort Behind the Outcome—Without Invading Privacy?

Introducing Libra—an AI-powered tool that helps teams surface patterns of contribution, effort, and collaboration, without needing surveillance or micromanagement.

Libra gives voice to the quiet wins, the emotional labor, and the cross-functional glue work that too often goes unnoticed.

It’s not another productivity tracker. It’s not a replacement for human connection. It’s a system that helps managers and teams answer one important question:

“Who’s really holding this team together—and how can we support them better?”


How Libra Works

Libra turns short voice reflections into structured, anonymized team insights. It’s designed to help people feel seen for the work they do—even when no one’s watching.

Here’s how it works:

1. Collect — A Safe Space to Reflect

After a tough day, a personal win, or a moment that mattered, team members can log a short voice reflection. It’s private and low-friction—no cameras, no long forms, no judgment.

People speak freely, knowing they’re not being graded. The goal isn’t to report—it’s to reflect.

2. Process — Turn Reflections Into Signals

Libra transcribes each reflection and uses AI to detect key themes: who was involved, what tasks were completed, where blockers came up, and how people felt.

Tone, effort, and relationships—not just task completion—are part of the picture. The original audio is discarded, leaving only structured, anonymized insights.

3. Aggregate — Find Patterns That Matter

Rather than focusing on individual entries, Libra builds a bird’s-eye view over time. It maps out recurring collaboration patterns, rising contributors, repeat friction points, and emerging team dynamics.

These aren’t reports on people. They’re signals about the team.

4. Deliver — Weekly Manager Reports

Each week, managers receive a concise, anonymized pulse report highlighting:

  • Who’s consistently contributing across silos
  • Where team members feel stuck or overworked
  • Which cross-functional links are thriving—or struggling
  • What work might be slipping through the cracks

These reports aren’t about control. They’re about careful attention—a way to see and support what metrics miss.


Remote Work Changed the Rules. Most Tools Haven’t Caught Up.

Performance management wasn’t designed for hybrid teams. Recognition tools rarely account for emotional labor or asynchronous contributions. And most platforms are reactive—they surface issues when they’ve already hurt someone’s morale.

Libra aims to shift that. By quietly listening and learning from what people already want to share, it helps teams become more fair, more attentive, and more humane.

It’s about building a culture where:

  • Quiet contributors are recognized
  • Effort is seen alongside outcomes
  • Managers get the context they need to lead with empathy

Have You or Someone You Know Ever Felt Invisible at Work?

We’re building Libra to make great work visible—especially the kind that doesn’t always show up in dashboards or check-ins.

If you’ve experienced (or witnessed) a time when a performance review, promotion, or recognition process failed to see the full picture, we’d love to hear your story: https://form.typeform.com/to/HmjpD2fV

These conversations help shape how we build. And if you’re open to it, we’d love to speak with you.

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