OnePlus has acknowledged current motherboard points reported by some customers of its OnePlus 9 and 10 Professional smartphones in India. Over the previous week, a number of customers have complained that their units all of a sudden stopped working, with restore prices quoted by the corporate typically exceeding the present market worth of the telephones.
The issue appears to predominantly have an effect on OnePlus 9 and 10 Professional fashions, with many customers alleging that the problem arose after putting in a current software program replace. As reported by News18, one person reported that OnePlus quoted a restore price of Rs 42,000 to interchange a defective motherboard — a worth almost equal to buying a brand new OnePlus 10 Professional.
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‘We’re Investigating The Trigger’
In response, OnePlus launched an official assertion expressing remorse over the inconvenience induced to affected prospects. “We’re sorry to listen to about some current instances the place customers are experiencing sure issues with their OnePlus 9 and 10 Professional concerning the motherboard of the gadget. Our prospects’ person expertise actually issues to us. Whereas we’re nonetheless investigating the trigger, we need to guarantee you that we’re dedicated to resolving this for affected customers as shortly as attainable,” the assertion learn.
Recognising the excessive prices related to motherboard repairs, OnePlus emphasised its dedication to offering help to these affected. “We all know motherboard repairs could be expensive, however we’re working arduous to make them extra inexpensive. We ask that any prospects which are affected by an identical concern to get involved with Buyer Service so we may also help resolve the scenario as quickly as attainable,” the corporate added.
The corporate’s immediate response to those considerations is a constructive step in direction of addressing buyer grievances. OnePlus hopes that its ongoing investigation will supply aid to affected customers and keep buyer loyalty, encouraging continued confidence within the model.
