According to some embodiments, the one or more parameters is selected from increasing gain for a specific channel, decreasing gain for a specific channel, replacing the dome of the hearing aid, adding/changing a hearing program, replacing the battery, and enabling/disabling specific features, or any combination thereof. Each possibility is a separate embodiment.

According to some embodiments, the user-initiated input is a textual description. According to some embodiments, the detection algorithm is configured to derive the issue from the textual description. According to some embodiments, the deriving of the issue from the textual description may include identifying key elements indicative of the issue in the textual description.

According to some embodiments, the solution algorithm is an artificial intelligence algorithm taking into consideration expert knowledge, user profile, the user's audiogram, current hearing aid parameter values, previous adjustments made to the hearing aid parameters, changes previously made by the user in a same environment, trend in changes of hearing aid parameters, the user's acoustic fingerprint and any combination thereof. Each possibility is a separate embodiment.

According to some embodiments, the method further includes requesting authorization from the user to implement the suggested solution. According to some embodiments, the method further includes providing instructions to the user regarding the implementation of the suggested solution.

According to some embodiments, the method further includes requesting the user's follow-up input regarding the perceived efficacy of the suggested solution after its implementation. According to some embodiments, the method further includes updating the solution algorithm, based on the user's follow-up indication.