iWorld
Why OTT platforms focus on user feedback
KOLKATA: As the over-the-top ecosystem turns more cluttered and competitive, the platforms are gearing up to retain users. Along with building a robust content slate, all the streaming services are also ensuring seamless viewing experience for the users. To build a good product, these players are focusing on multiple aspects including easy sign up to smart recommendations, and hyper personalisation. For all of these players, the user feedback holds an important position in the development of a sound UI/UX strategy.
In a webinar hosted by Indiantelevision.com in association with Accedo and moderated by Indiantelevision.com founder, CEO and editor-in-chief Anil Wanvari , experts from the industry discussed about what UX strategy one should adapt to stay relevant and create a differentiation in the market.
Epic On chief operating officer Sourjya Mohanty said the platform gives high importance to customer listening across the cities, across cohorts of age groups to understand what kind of technical changes are needed to be done on front end and back end. According to him, these constant improvisations have helped them to hit 3x-4x DAU compared to pre-Covid period.
Arre GM technology Rohit Bapat highlighted how one bad experience can lead to losing users. “Over the past couple of years, internet access has become very easy for consumers. People are coming from lowest end devices to users accessing the internet from fancy phones or laptops, all these people are essentially consumers. The market is very crowded which means a combination of easy access to internet and a lot of available applications with consumers having very less patience. So, all it is going to take is one bad experience from your platform for the consumers to take off and perhaps switch to a competitor,” he added.
According to him, most of the players approach UI from a human interaction perspective. Even if an interface might tick all the boxes of what makes great UI or UX, it may not be necessarily geared towards understanding the user journey on the website. He added that the exercise of trying to understand the target audience and what attention paths they could take is a good way to figure out how you want to build your app. But for existing apps, the right way to improve is benchmarking the current state of the app, mapping user journey, and tracing the blind spots.
ALTBalaji chief technology officer Shahabuddin Sheikh agreed that there should be an empathy towards users while designing UX. He added that hyper personalisation is important. As he shared, when a user samples an episode for the first time on the platform, the user does not experience any intervention. “What user is looking for hyper personalisation where he can look for a content piece programmed for him in the easiest way. We capture a lot of data of user behaviours while they interact on the app. Accordingly, content can be personalized for them,” he added.
Moreover, he is of the view that a user has to feel the worth of his money as ALTBalaji runs on SVoD model. “We have to program content in such a way through a recommendation engine that he gets most of the relevant content and it is served in the best buffer-free environment,” he noted.
Arre’s Bapat said that they are in the process of mapping the site, figuring out which areas people tend to take off from. They have made simple changes like having a single sign up for the potential user, how content is being shown on the web page. However, he reminded that the changes should be slow and gradual because an entirely new UI may increase churn on the app.
While the journey of upgrading product is continuous, the Bengali OTT platform Hoichoi has recently come up with a new prototype. Hoichoi technology lead Aloke Majumder said that they are going to develop it very soon. According to him, details like layout, thumbnail makes a huge difference. But the key to a good experience is to follow the user, Majumdar opined.
However, along with regular user feedback, in-depth research should be looked at as a very important element to understand consumers, Accedo APAC UX and design director Nikki Perugini added. She noted that the industry is not looking at a purely VoD future. Hence, linear virtual channels could emerge in the future. While some of the panellists agreed to her, SSK Osmosis Pvt. Ltd. product head Somuik Solanki countered that linear steaming does not work for health and fitness apps.
eNews
India uses ChatGPT for technical tasks nearly 4 times the world average: OpenAI
From classrooms to code, India’s AI use is increasingly skill-driven and youth-led.
MUMBAI: If code is the new currency, India is already minting it by the million prompts. In the world’s largest democracy, artificial intelligence is no longer a distant abstraction or a boardroom buzzword. It is a daily companion, drafting emails in Hyderabad, debugging code in Bengaluru, polishing essays in Delhi, and fielding life advice in towns far beyond the metros. Fresh data from OpenAI’s “Signals” initiative offers a rare, granular glimpse into how India is using ChatGPT, and the numbers suggest the country is not just adopting AI; it is actively shaping its use.
India is one of the largest markets globally for ChatGPT’s weekly active users and ranks among the top five countries for API usage. With OpenAI’s global consumer base exceeding 800 million users, most of them on free tiers, the dataset captures adoption patterns that go far beyond enterprise subscriptions.
Indian users, notably, are punching above their weight when it comes to advanced capabilities. Among ChatGPT Plus and Pro subscribers, usage of the data analysis tool is roughly four times above the global median. Use of Codex, OpenAI’s coding platform, is about three times above the median. Indians are nearly three times more likely than the global median to ask coding-related questions and almost twice as likely to seek help on education and learning.
This matters because it signals something economists call a shrinking “capability overhang”, which is the gap between what AI tools can do and how fully users exploit them. In India, that gap appears to be narrowing rapidly.
The geography of this coding intensity tracks the country’s technology hubs. Telangana, which is home to Hyderabad, ranks first in usage of OpenAI’s coding capabilities. Karnataka, home to Bengaluru, follows in second place, while Tamil Nadu comes third. In other words, the prompt traffic mirrors the tech corridors.
Nearly two-thirds of consumer ChatGPT messages in India are now non-work related, while slightly over one-third are tied to work. That marks a significant shift. In earlier phases of adoption, work was the dominant use case. It was only in early 2025 that non-work messages overtook professional use, and the divergence widened throughout the year.
Even so, India remains slightly above the global average in work-related usage. Around 35 per cent of consumer messages in India relate to work, compared with roughly 30 per cent globally.
At work, the emphasis is squarely task-oriented. Around 45 per cent of work-related conversations fall into “doing” behaviours such as drafting documents, transforming text, and completing tasks, compared with a much smaller share in non-work contexts. Technical help and writing dominate. In offices across the country, ChatGPT functions as a digital co-pilot that debugs code, polishes presentations, and unblocks stalled workflows.
Outside work, the tone shifts. Over 35 per cent of non-work messages revolve around practical guidance, which includes everyday advice and how-to queries. Roughly 20 per cent relate to seeking information. Nearly one-fifth involve writing tasks such as drafting or editing. Self-expression and learning loom large. In personal life, Indians appear to use AI less as an executor and more as an explainer, sounding board, and study partner.
India’s demographic dividend is clearly reflected in its AI habits.
Users aged 18 to 24 now account for just under half of all ChatGPT messages sent in the country. They surpassed the 25 to 34 age group in mid-2024 and have held the lead ever since. Globally, the 18 to 24 cohort accounts for about one-third of messages; in India, the share is markedly higher.
Combined, users aged 18 to 34 generate roughly 80 per cent of total consumer ChatGPT messages in India. Given that around 40 per cent of India’s population is under 25, the youth skew is unsurprising, but its implications are profound. Education-related queries, early-career problem-solving, and skills development are likely to dominate near-term AI impacts.
Usage patterns also differ by age. The 18 to 24 cohort accounts for a near majority of messages seeking practical guidance, technical help, and self-expression. Meanwhile, the 24 to 34 group sends a slightly higher share of multimedia and technical help queries relative to its overall share of usage.
If AI norms are being written in real time, it is young Indians who are holding the pen.
OpenAI does not collect gender data, but inferred patterns based on typically masculine and feminine first names reveal a measurable gap in India. A little under 60 per cent of users have typically masculine names, and just over 40 per cent have typically feminine names. This skew is more pronounced than the global average.
Worldwide, users with typically feminine names now account for slightly more than half of all messages. This shift occurred only in the summer of 2025, when feminine-name usage overtook masculine-name usage globally. In India, the gap persists, although it has been narrowing over the past year.
There are also topical differences. Users with typically feminine names are more likely to send messages related to self-expression, practical guidance, and writing. Those with typically masculine names lean more towards seeking information and technical help.
The data does not capture motivations, but it does highlight where inclusion efforts and digital literacy initiatives could focus if AI is to broaden opportunity rather than deepen divides.
The consumer story aligns with India’s broader AI momentum. The country ranks second globally in AI skills penetration and has one of the fastest-growing AI talent pools. It accounts for 9.2 per cent of global AI publications in computer science as of 2023, which represents a substantial contribution to research output.
At the same time, investment in AI data centres and digital public infrastructure is expanding, promising to knit together datasets and resources at scale. Enterprise adoption is also robust, which suggests that consumer experimentation is unfolding alongside institutional integration.
OpenAI’s “Signals” project is built with aggregated, privacy-preserving data and released with a time lag. It aims to provide a durable measurement layer for the AI era. The idea is not to track individuals, but to surface patterns such as where adoption is accelerating, who is using the tools, and what they are actually doing.
In a country as vast and varied as India, such evidence is more than academic. It shapes decisions about workforce training, small business support, education policy, and safeguards.
For now, the numbers paint a picture of a nation that is not merely consuming AI, but conversing with it in an energetic, experimental, and increasingly skilful manner. In India, the future of work and learning is not being downloaded. It is being drafted, debugged, and rewritten in real time.
