An assembler's job can vary greatly, depending on the variety of products their company offers and the number of orders for each product received. For instance, an electronics assembler may be assigned to make 500 pieces of a single earphone model one day and 1,000 pieces of 10 television remote control models the next. Very few assemblers make just one product, so they must be ready to use their basic skills to assemble anything, including items they've never made before.   

Pythia's voice-delivered workflows enable assemblers to work faster and safer than if they had to stop working to pick up devices or printed aids for support. When extra help is needed on-the-job, workers can say, "Hey Coach, Help" and an email alert is instantly sent to their supervisor. The supervisor can immediately call or visit the worker, handle the problem, then work can continue.

When workflows change, simply edit the affected text in a database record, then release it when ready. Upon release, every assembler worldwide gets a new workflow to follow. In most cases, little communication is needed and training is rarely necessary.

Every time an assembly error occurs, customer satisfaction and return business can plummet. Moreover, some errors can cause personal injury and property damage, further increasing costs. When using Pythia's voice-directed workflows, assemblers can be certain to never miss a process step or perform a step out of sequence. "Critical steps" being those requiring special attention, are given minimum expected performance intervals. When workers fail to spend the minimum expected time on a critical step, their supervisor is alerted and any error can possibly be mitigated. 

Pythia's analytics reveal performance improvement opportunities across the organization, down to individual worker and workflow step detail. This enables management and workers alike to improve the performance factors within their control whether worker or non-worker-related issues. For instance, the lack of equipment, insufficient staffing, and inadequate management support can be revealed via the valid, unbiased, reliable data Pythia captures along with issues related to worker performance down to workflow step detail.