Examines owner-reported problems with vehicle seats, identifying problems experienced by seating location. By tying model-level information to specific seat and seat belt systems, J.D. Power provides suppliers with comprehensive dependability data regarding the seating industry.
Examines vehicle interior dependability after 3 years of ownership at the model level, identifying problems, such as squeaks and rattles or wear and breakage, with various interior features or content.
Assesses braking problems experienced by owners of 3-year-old vehicles. The dependability of driving and braking dynamics as reported by vehicle owners enables suppliers to evaluate such problematic areas as brake noise, vibration, pedal feel, and dust for each vehicle model.
Engine and Transmission
Examines the dependability of engines as well as automatic, manual, and CVT transmissions. This data provides suppliers with the ability to examine the prevalence of key engine and transmission durability problems at a critical point in the ownership experience when many owners begin to consider purchasing a new vehicle.
Evaluates the dependability of vehicle heating, ventilation, and air conditioning systems, assessing vehicle owners’ experiences with such problems as broken vents, controls, and defrosters.
Examines the dependability of such factory-installed multimedia features as radios, speakers, hands-free communication, and navigation systems for each vehicle model. This analysis provides diagnostic feedback from owners of 3-year-old vehicles.
Analytics based on component-level findings are customized to correspond with a supplier’s organizational role. Each component category includes a comprehensive overview, and the data and analytical tools are geared specifically by organizational job function, allowing the data to come to life and align with the many facets of your organization, including:
Subscriptions are available for each component category and include access to mTab datasets and analytical tools with metrics specific to organizational job functions.