Travelers on premium trains will shortly be capable of rating the food they eat on tablet as good, bad, or ugly below a proposal to be rolled out soon, a senior administrator claimed this week.
They can record their review on the tablets via an online form to be offered by the Railways, the spokesperson claimed further. Almost 100 tablets so far have been provided by the Railways to on-board managers of the IRCTC (Indian Railway Catering and Tourism Corporation) in various zones of railway for recording feedback from customer on staff behavior, quality of food, and other related problems, the administrator further added.
The tablet was utilized on a trial basis for the initial time last week on the Ahmedabad–Delhi Rajdhani. The network might formally roll out in a couple of weeks on the Mumbai Rajdhani, Pinakin Morawala, chief spokesperson of IRCTC, claimed to the media in an interview. “This will assist us be more precise with the redress of suggestions and complaints. We will be capable of gauging the grade of user satisfaction as well as rate the recommendations,” he further said.
The Railways is also seeking at an offline version of the proposal to cope with Internet problems and erratic networks. The software on the tablet records the phone number, name, and train details of the traveler. Then it shows a sequence of questions to decide the experience of food on the trip.
Presently, IRCTC takes review either through its twitter handle or on an on-board suggestion book. Travelers can also dial 139 to complain regarding the food quality. These approaches will carry on being accessible along with the new network, Morawala claimed. In the new network, travelers might be asked to rate various features of the food being served, on quantity, quality, staff behavior, presentation, and general satisfaction, on a scale of 1 to 5.
If the rating is 3 or less on any count, the traveler is asked additional questions on particular problem regions, such as appearance, taste, and others. “As of now, we are aiming 10% of travelers for feedback in a train. Ultimately, we may augment our target,” claimed Morawala.