Slashing Service Reporting Time by 85% with AI Voice

B2B SAAS / AI-Assisted Workflows

Technicians were required to complete time-consuming 30-minute service reports for every job, slowing down their workflow and causing bottlenecks. The existing system involved manual data entry, leading to errors, inefficiencies, and delays. Technicians spent more time documenting than focusing on their core tasks, which impacted overall productivity.

Technicians were required to complete time-consuming 30-minute service reports for every job, slowing down their workflow and causing bottlenecks. The existing system involved manual data entry, leading to errors, inefficiencies, and delays. Technicians spent more time documenting than focusing on their core tasks, which impacted overall productivity.

Client:

KNOWRON

Role:

Sr. Product Designer (Consultant)

Year:

2026

Challenge

Create a solution that simplifies the process, saving technicians time and improving their efficiency without disrupting their workflow. The goal was to replace traditional manual reports with an intuitive, voice-driven experience.

Approach

  • Conducted user research to understand technicians' workflows and pain points.

  • Collaborated with developers for technical feasibility and product managers for alignment on outcomes.

  • Focused on simplicity and minimizing the learning curve by making the system intuitive.

  • Iterated based on user feedback, refining the voice-to-text feature to ensure ease of use and integration into daily tasks.

Results

  • Efficiency: Report creation time decreased by 85%, from 30 minutes to just 5 minutes.

  • User Satisfaction: 95% of technicians preferred the voice-based system for its ease of use and time savings.

  • Productivity Boost: Daily report submissions increased by 30%, improving team productivity.

  • Accuracy: Manual errors reduced by 40%, resulting in more reliable service reports.

Learnings

Smplicity is a key driver of success, cutting out unnecessary steps made the solution more effective. Working closely with stakeholders like developers and product managers was crucial to balancing technical feasibility with user needs.

For a deeper look at the decisions, constraints, and outcomes