1 00:00:02,200 --> 00:00:02,720 Hi guys. 2 00:00:02,720 --> 00:00:03,680 Welcome to this session. 3 00:00:03,680 --> 00:00:09,840 So in this session we'll see how we can analyze our reviews as well given by our customers with the 4 00:00:09,840 --> 00:00:10,960 help of ChatGPT. 5 00:00:11,080 --> 00:00:15,960 So when we are running any kind of online businesses, customers provide reviews for our products and 6 00:00:15,960 --> 00:00:16,760 services. 7 00:00:16,760 --> 00:00:21,520 It becomes extremely important for us to look through these reviews to understand what are the things 8 00:00:21,520 --> 00:00:26,920 which are doing really great and what are the things which where there are areas of improvement. 9 00:00:26,920 --> 00:00:32,640 So once we understand what is going really great, we can focus on those more and keep up the levels 10 00:00:32,640 --> 00:00:34,480 and try to improve them further. 11 00:00:34,840 --> 00:00:40,880 When we identify which are the areas of improvement, then we can fix those issues, make them as priority 12 00:00:40,880 --> 00:00:42,320 and try to reduce them. 13 00:00:42,600 --> 00:00:43,000 Okay. 14 00:00:43,760 --> 00:00:49,120 Fix those particular segments of our business so that the overall user experience becomes really great. 15 00:00:49,320 --> 00:00:52,480 So for all of this, you can use ChatGPT again. 16 00:00:52,560 --> 00:00:58,400 So what we can do here is we can give all the positive and negative reviews to ChatGPT to analyze and 17 00:00:58,400 --> 00:01:03,280 tell us what exactly are customers saying with respect to those reviews. 18 00:01:03,280 --> 00:01:08,710 And then we can make a list of those particular pointers and we can start working upon them. 19 00:01:08,710 --> 00:01:10,870 So let's have a look at this with an example. 20 00:01:11,950 --> 00:01:16,550 So let's say we are looking at a specific place like let's say Heathrow Airport. 21 00:01:16,670 --> 00:01:18,550 And we're looking at the reviews for it. 22 00:01:18,550 --> 00:01:21,990 So there are like 55,000 plus reviews of this airport. 23 00:01:22,270 --> 00:01:22,590 Okay. 24 00:01:22,630 --> 00:01:24,110 So we can go to reviews. 25 00:01:24,630 --> 00:01:25,830 So these are all the reviews. 26 00:01:25,830 --> 00:01:28,510 It has an average 4.0 review. 27 00:01:28,550 --> 00:01:33,230 Right now what we can do is we can sort the reviews by highest rating let's say. 28 00:01:34,270 --> 00:01:36,230 And these are the reviews which it has got. 29 00:01:36,230 --> 00:01:38,790 So we can just take those reviews for now. 30 00:01:40,550 --> 00:01:41,310 Till here. 31 00:01:43,790 --> 00:01:47,950 And we can go to ChatGPT and we can say that. 32 00:02:03,990 --> 00:02:07,110 And we can ask for a, make a list of points. 33 00:02:12,790 --> 00:02:15,070 And we can give the reviews out here. 34 00:02:15,340 --> 00:02:22,300 So the tool is going to look at all the reviews given out here and based on which give us all the ideas. 35 00:02:22,540 --> 00:02:26,740 So it's giving all the positive reviews like the size and navigation. 36 00:02:27,060 --> 00:02:30,820 Airport is huge, requiring a train to reach some boarding gates. 37 00:02:31,060 --> 00:02:31,300 Okay. 38 00:02:31,340 --> 00:02:33,460 Exceptional service at Tram Terminal two. 39 00:02:33,500 --> 00:02:37,660 So it's giving all the positive reviews, specific ones being provided over here. 40 00:02:37,980 --> 00:02:38,500 Okay. 41 00:02:38,540 --> 00:02:41,020 So this is really great, which we have it now. 42 00:02:41,660 --> 00:02:47,340 In the same manner we can also get the negative reviews and see the areas of improvement. 43 00:02:48,180 --> 00:02:49,020 So let's say. 44 00:02:55,700 --> 00:02:59,860 We look at the lowest ratings and now we again copy the ratings. 45 00:03:08,620 --> 00:03:13,500 And we can go ahead and put the reviews over here the way we had done it here. 46 00:03:36,460 --> 00:03:41,740 So now we are giving all the negative reviews to it to analyze and tell us which are the areas we need 47 00:03:41,740 --> 00:03:43,620 to go ahead and fix. 48 00:03:43,620 --> 00:03:50,300 So for example, poor assistant services, inadequate support for people with disabilities, uncomfortable 49 00:03:50,300 --> 00:03:53,020 waiting areas, crowded and chaotic environment. 50 00:03:53,220 --> 00:03:58,860 Okay, so these are some areas where we have to now focus on and we can make the situation better. 51 00:03:59,060 --> 00:04:04,180 So this is really great pointers for ideas which we are getting from the tool, which is telling us 52 00:04:04,180 --> 00:04:09,300 about the pros and cons of our business, of our products and services given straight away from the 53 00:04:09,300 --> 00:04:11,300 clients, from our customers. 54 00:04:11,300 --> 00:04:16,020 And now we can work towards them and make it a much better user experience for everybody. 55 00:04:16,340 --> 00:04:17,300 I hope this makes sense. 56 00:04:17,300 --> 00:04:24,420 You understand now how you can also analyze feedback or reviews of your customers with the help of ChatGPT. 57 00:04:24,700 --> 00:04:29,780 Thank you so much guys for listening in to this session and I will see you in the next video.