With EviView, Fishbone Charts become more than a drawing—they’re a connected part of how your team solves problems. Teams identify causes visually, assign actions directly from each branch, and track resolution through to closure. Root cause investigations become visible, actionable, and fully integrated with your manufacturing analytics and CI efforts.
Request a DemoIn EviView, Fishbone Charts are fully interactive and built to drive action—not just discussion. Teams use structured RCA categories like Method, Machine, People, and Material to capture causes, add context, and connect each branch to real-time follow-up tasks. Charts are updated live and visible across shifts—so analysis and resolution happen together.
Build fishbone diagrams using standard RCA cause categories
Add notes, attachments, and time-stamped context to each branch
Assign actions from the chart with owners and due dates
Track resolution progress and escalate unresolved causes
Structure your chart by RCA themes—like method, material, or manpower—with detailed, evidence-backed inputs.
Turn any cause into a task, set deadlines, and track ownership—all from one view.
Follow every open task and unresolved cause directly from the chart.
Use shared templates and workflows to ensure consistency across shifts and locations.
EviView turns Fishbone Charts into more than diagrams—they’re a structured root cause workflow that teams can act on. Each potential cause is tied to real actions, with owners, deadlines, and resolution tracking built in. Investigations move faster, patterns are easier to see, and follow-ups don’t get lost between departments or shifts. Everything is documented in one place—so root cause analysis leads directly to measurable improvement.
Fishbone Charts in EviView aren’t separate files—they’re integrated into your analytics and execution workflows. Each diagram lives inside the broader problem-solving system, with linked actions, escalation paths, and performance insights. Whether you're investigating downtime, quality issues, or recurring production errors, the data and follow-through are all in one place. That means less duplication, better visibility, and faster resolution across teams and shifts.
Request a DemoOperations, quality, and CI teams use EviView’s Fishbone Charts to investigate problems with speed and structure. From downtime root causes to recurring quality defects, charts are built collaboratively, follow-ups are assigned instantly, and resolution is fully traceable. See how high-performing ops and CI teams use Fishbone Charts in EviView to resolve faster, not guess longer.
EviView’s Digital Daily Management System has been transformative for Merck. By streamlining shift handovers, centralizing data, and integrating with SAP and Palantir Data Lake, we’ve reduced downtime by 30% and saved €66,000 annually. The system has boosted visibility, improved communication, and increased safety incident reporting by 300%, fostering a culture of continuous improvement and positioning us for long-term success.
Pharmaceutical Company, US
Head of Digitalisation and Strategy
I worked with EviView on an electronic handover project. Their team was very knowledgeable, took time to ensure all stakeholders were kept up to date with the progress of the project, and was always available to give advice on system usage during implementation.
Bio-Pharma Company, US
Manufacturing Team Lead
Karol's team delivered a highly successful change management and digital transformation project. His structured approach, detailed analysis, and process-driven methodology have been invaluable on every project. EviView's understanding of business, IT, operations, and budgetary needs is unmatched.
Top 5 Pharma Manufacturer, EU
Senior Manager of Engineering & Maintenance
Fishbone Charts in EviView don’t just capture causes—they show what’s been solved, what’s still open, and what keeps coming back. Each action, owner, and outcome is tracked, giving your team the data to improve RCA over time. With historical visibility and built-in analytics, you’ll identify patterns faster and prevent repeat issues before they spread.