Life360

From 12 Hours of Interviews to Instant Strategic Insights with a Custom AI Agent

How EverOps built Victor, a purpose-built AI that transforms scattered developer feedback into prioritized action plans with organizational context baked in.

AI
Adoption
Platform Engineering & CI/CD
90%
reduction in feedback synthesis time
<5
seconds to actionable insights (vs. weeks)

Life360 connects over 90 million families, pets, and valuables through advanced location-tracking technology. Committed to digital safety, the company coordinates emergency response efforts—dispatching ambulances every 8-10 minutes after detected accidents to protect users during critical moments.

When reliability is literally life-or-death, infrastructure changes carry enormous stakes.

The Challenge

Thousands of Lines of Feedback, No Clear Path Forward

Even the most capable engineering teams face recurring friction. Unreliable CI/CD pipelines, noisy on-call rotations, and poor test visibility often stand in the way of progress. Life360's leadership knew these problems existed—but understanding their true scope and priority required talking directly to the people experiencing them.

EverOps conducted in-depth, one-on-one interviews with engineers and architects across the organization. Each conversation surfaced valuable insights about friction points, broken processes, and what would help developers work more effectively. The result was a rich collection of feedback—but also a new problem.

With thousands of lines of transcripts and recurring themes surfacing across dozens of conversations, manual analysis wasn't scalable. The team needed a way to transform raw feedback into strategic, actionable plans without spending weeks on synthesis.

The Approach

Product Thinking Applied to Infrastructure Challenges

EverOps approached this challenge differently than most DevOps consultancies would. Rather than viewing developer friction through a purely technical lens, the team applied a product management mindset—focusing on the lived experiences of engineers to find root causes.

Every interview followed a standardized script with uniform questions, ensuring comparable feedback and reducing interviewer bias. The structured approach surfaced repeatable patterns rather than anecdotes, creating a foundation for evidence-based decision making.

But the real innovation came next: rather than manually parsing transcripts, EverOps built a custom AI agent trained specifically on Life360's feedback and organizational context.

Technologies & Tools: Custom GPT · Prompt Engineering · Interview Analysis · Anonymization Protocols

Technologies & Tools:

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The Approach

Embedded Expertise with a Clear Roadmap

EverOps embedded a 3-person FinOps Pod directly into Life360's platform team. Within the first week, our engineers had access to their AWS accounts, joined their Slack channels, and began a comprehensive cost analysis using our proprietary Opportunity Finder methodology.

The engagement followed a structured approach: two weeks of discovery and prioritization, four weeks of execution on high-impact optimizations, and two weeks of governance implementation to sustain savings. Throughout, the Pod operated as an extension of the internal team — attending standups, collaborating in real-time, and transferring knowledge continuously.

Unlike consultants who deliver reports, our Pod executed the changes directly — rightsizing instances, eliminating waste, renegotiating reserved capacity, and implementing automated cost controls.

The Solution

Meet Victor: An AI Product Manager Built for Developer Experience

EverOps designed, built, and deployed Victor—a custom AI agent purpose-built to transform scattered insights into structured strategic plans. Victor wasn't an off-the-shelf chatbot; it was engineered to reason like a product manager with deep context on Life360's organization.

Key Capabilities:

  • Pain Point Analysis — Victor identifies recurring friction areas within developer workflows, synthesizing patterns across all interview data to surface the issues that matter most.
  • Action Plan Generation — Rather than just summarizing problems, Victor proposes clear, step-by-step remediation plans with specific recommendations for addressing root causes.
  • Intelligent Prioritization — Victor weighs issues based on frequency, complexity, and projected impact, ensuring teams focus on the highest-leverage opportunities first.
  • Organizational Awareness — Fed with Life360's team structure, management roles, and product ownership models, Victor assigns recommendations to the right owners and proposes realistic timelines.
  • Outcome Forecasting — When asked "what happens if we implement this change?", Victor draws on its knowledge base to outline potential risks, dependencies, and unintended consequences.
  • Continuous Learning — As new interviews are conducted, Victor's knowledge base expands, keeping insights aligned with the evolving needs of the engineering organization.

Building Trust in AI Outputs:To mitigate hallucinations, EverOps implemented rigorous prompt engineering, strict anonymization protocols, and trained Victor on established project management frameworks. The result was an AI that challenges its own assumptions before responding.

The Results

Strategic Clarity in Seconds, Not Weeks

Victor transformed how Life360 approached developer feedback. Instead of manually parsing thousands of transcript lines, the team could ask targeted questions and receive structured, actionable responses grounded in real data.

When asked to identify developer pain points, Victor immediately surfaced three critical issues that had emerged repeatedly across interviews: lack of trust in the CI/CD pipeline, excessive noise during on-call rotations, and limited visibility into testing workflows. Each came with ownership assignments aligned to Life360's actual team structure and proposed timelines reflecting how work is distributed across the organization.

The team moved from reactive problem-solving to proactive roadmap planning. Questions that previously required hours of meeting time and manual synthesis—"What are the biggest friction points?" "How do we fix the CI/CD trust issue?" "Who should own this?"—now had answers in seconds.

With Victor, Life360 gained a strategic partner for analysis, planning, and decision-making at scale.

12+
hours of interviews synthesized instantly
90%
reduction in feedback synthesis time
<5
to actionable insights (vs. weeks of manual analysis)
Client Experience

"Victor changed how we think about developer experience. Instead of debating what we think the problems are, we now have evidence-based priorities with clear ownership. It's like having a product manager who's read every interview and remembers everything."

Head of Infrastructure, Life360
CLIENT EXPERIENCE

"Victor changed how we think about developer experience. Instead of debating what we think the problems are, we now have evidence-based priorities with clear ownership. It's like having a product manager who's read every interview and remembers everything."

— Head of Infrastructure, Life360
What's Next?
Victor's knowledge base continues to expand as new interviews are conducted and organizational context evolves. EverOps is exploring how Victor might support a broader range of roles beyond engineering—including QA teams, customer service, and managerial support. The foundation was built with adaptability in mind, opening the door to AI-powered analysis across the entire product lifecycle.
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