Problem
The Telecom company faced a growing challenge in delivering fiber to Small and Medium Enterprises (SMEs) and residential customers. Despite high demand, the failure rate during fiber installation remained unacceptably high, due to:
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Lack of visibility on failed installations (only successful events were logged)
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Incomplete technician feedback
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Disconnected systems between technicians, customer service, and marketing
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Repetitive troubleshooting steps for recurring failures
This resulted in customer dissatisfaction, wasted technician hours, lost revenue, and a lack of actionable data to improve operations.
Objectives
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Identify and reduce the root causes of fiber installation failures
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Improve the data collection process from the field
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Empower technicians and customer service with better tools
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Increase successful installation rate and optimize resource usage
Our Actions
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Created a New Diagnostic Portal – 'Diagnostic-Connectivité'
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Designed and launched a web platform from scratch
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Initially targeted internal technicians, later opened to external contractors and end users
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Integrated real-time tracking of both successful and failed installations
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Transformed Data Logging Culture
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Worked with field teams to educate technicians on the value of logging failed events
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Built a UX that made feedback easy, fast, and integrated into their routine
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Added logic to capture key failure patterns (e.g., missing equipment, network conflict, poor prep)
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Agile Product Ownership & Iterative Rollout
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Ran ideation workshops, pilot tests, and user interviews in 5 departments
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Scaled usage from 100 to 200,000 daily users over 3 years
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Aligned stakeholders from IT, operations, and marketing for adoption
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Improved Cross-functional Collaboration
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Ensured the diagnostic data was visible across teams (tech, marketing, call center)
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Collaborated with AI teams to automate analysis and support smarter routing decisions
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Implemented a knowledge loop from field to product development
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Results
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Reduced fiber installation failure rate by 5% nationally
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Saved €8 million annually through improved efficiency and fewer second visits
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Improved customer experience and time to connect
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Created a reliable dataset for further AI-driven optimization and proactive issue resolution