Designing a Professional Community for Bharat 🇮🇳

Designing a Professional Community for Bharat 🇮🇳

Designing a Professional Community for Bharat 🇮🇳

Designing a Professional Community for Bharat 🇮🇳

Designing a Professional Community for Bharat 🇮🇳

Designing a Professional Community for Bharat 🇮🇳

My Role

Product Designer — Product Strategy, User Flows, Prototyping, Visual Design

Team

Manan/ Hitesh/ Vaidehi/ Prakash - PM
Devesh/ Aakash/ Akshay/ Prankul - SDE
Rahul/ Rajvi - SDET

Duration

June 2022 - Present

Overview

In Sept. 2021, a jobs marketplace aimed at increasing the retention of its users to help them reduce their CAC. We designed a full-fledged digital community for professionals: apnaCommunity.

Our focus was on a small target audience, embracing quick MVP development and learning from setbacks. Eventually, we achieved product-market fit for our Community, addressing cost-conscious users’ needs. 

This experience taught me the value of strong opinions held loosely in the world of product discovery — this journey in itself was a UX case study of my design evolution.

Backstory - How this all started? 🧐👀

The job-hunting experience is a need-based. Not often do the users come to a job marketplace, until they need one. The marketing burn was not a sustainable option to justify the MAU numbers. What could be done to bring users organically to the app?

Looking at 2 of our big competitors — Naukri & Linkedin, while the former is a public-listed giant & has a legacy system to sustain its CAC, the latter has a large community that has even surpassed its job-marketplace use case. 

Thus, combining both - the user need & the business need, the idea of Apna's community came into being.

The plan was to not only build a community to maintain just an active user base but also nurture a digital professional community for job-related learning. The erstwhile COVID waves further acted as an incentive to go online.

We needed early validation & we chose WhatsApp (WA) for it…

Our target audience was students & professionals from 18 to 30 years of age, who were either studying or have graduated & are looking for jobs, upskilling, guidance & industry awareness. So, our 1st challenge was:

Challenge 1: Validating if an online community for professionals from Tier -2+ cities made sense

We divided the task into 3 steps — 

  1. Onboarding — Figuring out a tool that could onboard users in larger numbers 

  2. Engage- Building a close-knit relationship of professional learning & collaboration

  3. Productize- Once our pilot was successful with many communities having more than 2 WA groups, we decided to productize it.

After exploring several other options online. Partially inspired by the feasibility & initial beginnings of our closest competitor ShareChat, WA seemed easiest.

We began with 4 WA groups for theme-based categorisation — 'Govt. Job Updates', 'Jobs after 12th', 'English Learning' & 'Interview Skills'. We were able to take these 4 groups to 50+ groups with many groups having sub-parts I, II & even III. 

However, the chat/ conversation format was not a scalable option. Receiving 100+ new messages every day seemed impossible for users to track. It was time to move to productise it.

The community looked like this when I joined this POD 😓

Soon after I joined the design team performed a comprehensive audit of our product, meticulously mapping out every screen and workflow. Using this audit, I created a visually striking collage that showcased the diverse array of button styles & components within our product, highlighting the fragmented nature of our offering and the resulting confusion for our users.

Everyone agreed - 'Something needs to change!' ✨ & this is how our next challenge came into force:

Challenge 2: Re-designing the interface in a way, that follows design system & is easy to use

Challenge 2: Re-designing the interface in a way, that follows design system & is easy to use

We divided the task into further 3 steps — 

  1. Step 1: Identifying & listing all the UI inconsistencies

  2. Step 2: Implementing our newly built design system

  3. Step 3: Streamline the PDLC & defining the design role for my POD with clear SOPs for development & quality checks

We decided to understand our users before setting up our design guidelines for the re-design

Apna as a platform was started as a Blue-collar job marketplace, which later gradually moved-on to collar-less user offerings.

Thus, our early users were people who were or aspire to get entry-level jobs in sales/ delivery executives/ tele-callers etc. This workforce mainly hails from the India which is beyond tier-1 cities & have often migrated for work. For that it was important that we understand our users well for whom we were to design. We conducted research sessions.

We collected data/ insights by 3 setups:

Apna as a platform was started as a Blue-collar job marketplace, which later gradually moved-on to collar-less user offerings.

Thus, our early users were people who were or aspire to get entry-level jobs in sales/ delivery executives/ tele-callers etc. This workforce mainly hails from the India which is beyond tier-1 cities & have often migrated for work. For that it was important that we understand our users well for whom we were to design. We conducted research sessions.


We collected data/ insights by 3 setups:

Apna as a platform was started as a Blue-collar job marketplace, which later gradually moved-on to collar-less user offerings.

Thus, our early users were people who were or aspire to get entry-level jobs in sales/ delivery executives/ tele-callers etc. This workforce mainly hails from the India which is beyond tier-1 cities & have often migrated for work. For that it was important that we understand our users well for whom we were to design. We conducted research sessions.

We collected data/ insights by 3 setups:

Apna as a platform was started as a Blue-collar job marketplace, which later gradually moved-on to collar-less user offerings.

Thus, our early users were people who were or aspire to get entry-level jobs in sales/ delivery executives/ tele-callers etc. This workforce mainly hails from the India which is beyond tier-1 cities & have often migrated for work. For that it was important that we understand our users well for whom we were to design. We conducted research sessions.


We collected data/ insights by 3 setups:

Apna as a platform was started as a Blue-collar job marketplace, which later gradually moved-on to collar-less user offerings.

Thus, our early users were people who were or aspire to get entry-level jobs in sales/ delivery executives/ tele-callers etc. This workforce mainly hails from the India which is beyond tier-1 cities & have often migrated for work. For that it was important that we understand our users well for whom we were to design. We conducted research sessions.


We collected data/ insights by 3 setups:

Apna as a platform was started as a Blue-collar job marketplace, which later gradually moved-on to collar-less user offerings.

Thus, our early users were people who were or aspire to get entry-level jobs in sales/ delivery executives/ tele-callers etc. This workforce mainly hails from the India which is beyond tier-1 cities & have often migrated for work. For that it was important that we understand our users well for whom we were to design. We conducted research sessions.

We collected data/ insights by 3 setups:

Telephonic calls

Messaging users on WhatsApp or calling them.

Dummy profiles in groups

To understand what were the user talking about

Periodic online meetups

This was done to open-up the users.

We were designing for the masses — the real India, Bharat 🇮🇳 that mostly lives in tier-2+ cities. This gave us an opportunity to deep dive into the digital behaviour of our users. Some of the key insights that we learned:

Bharat doesn't prefer Minimalism

We Indians love chaos (look at our streets) - too many colours, too many CTAs - No Problem!

While we closely observed usage pattern of our users using apps like Sharechat, we concluded if the product is meaningful, people use it & use it widely.

This was also validated by ex-CPO of Sharechat, Mr. Mithun Madhusudan in one of his interviews.

Bharat is not just Hindi-speaking

Regional is the king. Our users did understand Hindi but mostly they all don't speak Hindi.

Thus, we had to design seeing the possibilities of a vernacular copy. We took the 'Hinglish/Ringlish approach' for translation. i.e. the script was to be roman, but language were to be Hindi/ Regional.

We employed the practice of 'Contextual Translation'

Redundant icons replaced with emojis

People felt issues understanding the meaning of new icons that they saw for the 1st time.

But at the same time, they reacted well with the use of emojis to represent the same action.

With evolving use cases, products often go ahead with creating new icon sets for the product, that often come as new learning for the masses.

Illustrations replaced with images

People often felt difficulty understanding the illustrations used for job categories (or anything for that matter).

Thus, to avoid this, we started using real images with which users could actually connect & relate.

Finally the Community 1.1 was ready 😍

Contributing to the setting up the Apna Design System, my primary job was to first report any inaccuracies faced in my POD, then give feedbacks, if any on the new design system & then most importantly supervise the implementation of design system in my designs.

Impact:

20-30% Dev efforts were saved 🎉

that were spent on building redundant front-end components

<12%

Customer Support Queries that came regarding the usability of the Community

It was time for new features to come in…😇

Challenge 3: Scaling community with more mediums of user retention & engagement

Challenge 3: Scaling community with more mediums of user retention & engagement

Soon after we reached an MAU of 1M+ on community with avg. members of 20K+ & top communities reaching upto 1M+ members, we noticed our both scroll depth & engagement went almost stagnant. The community session time reduced from avg. 2.5 mins to 0.5–1 mins.

User survey suggested about the monotonous posts type/ content type with less scope of interaction.

Soon after we reached an MAU of 1M+ on community with avg. members of 20K+ & top communities reaching upto 1M+ members, we noticed our both scroll depth & engagement went almost stagnant.

The community session time reduced from avg. 2.5 mins to 0.5–1 mins.

User survey suggested about the monotonous posts type/ content type with less scope of interaction.

Soon after we reached an MAU of 1M+ on community with avg. members of 20K+ & top communities reaching upto 1M+ members, we noticed our both scroll depth & engagement went almost stagnant.

The community session time reduced from avg. 2.5 mins to 0.5–1 mins.

User survey suggested about the monotonous posts type/ content type with less scope of interaction.

Thus, through a gradual series of experimenting with new content types, we launched 5+ new features. We followed our design process very rigourously. Every new feature idea went through a rudimentary validation test before incorporating it. 

Polls & Quizzes

Sharing Interview experience

Posts with backgrounds

Reposting posts

Impact: 

60% user base of Apna's MAU

North Star Metric i.e. every 6/10 Apna users were active on Community

> 7.2% ~ 7%

Post Creation Index i.e. every 7/ 100 users has created at least 1 post in his lifetime

> 9.8% ~ 10%

Engagement Index reached an all-time high i.e. almost 10% users were engaging with posts

User's Avg. Scroll Depth increased

to 8.9 i.e. every user on an average scrolled past through minimum 8 posts/ session

All was good till we realised we were making a mistake here 😢😭

User connections and referrals were launched to help freshers from tier-2+ cities connect with early-white collars & leverage referrals/ connections.

But, through our periodic user feedback, we got to know that it didn’t prove as beneficial as we thought. Numbers/ metrics showed a positive approach, but the users were not satisfied. On inquiring further we gathered some more insights about our Bharat users:

  • Unorganised Market

    Most of the early-white & blue-collar professions were unorganised and didn’t have any such systematic way of referrals in their org.

    Unlike LinkedIn, building a network-first approach of building a community proved wrong for our users.

  • Why network-first approach failed?

    Building a professional network is a time-taking process.

    Unfortunately Bharat users who crave for instant gratification, fail to wait & understand the importance of network-building unlike white-collar professionals on LinkedIn.

  • Institutionalising entities

     Tier-2 users are value users. They still don’t believe someone unless they have something to trust — followers count, a renowned brand or being from Apna officially.

This is how Community 2.0 came into the picture

We moulded our community based on user feedback & shifted our focus from being a network-first to a skill-first community. We called it ‘Community 2.0'.

Challenge 4: Launching Community 2.0 & designing new elements for its smooth transitioning

Challenge 4: Launching Community 2.0 & designing new elements for its smooth transitioning

Building a skill-first & an institution-first community with established skill groups & established influencers from the professional world for guiding users.

Soon after we reached an MAU of 1M+ on community with avg. members of 20K+ & top communities reaching upto 1M+ members, we noticed our both scroll depth & engagement went almost stagnant.

The community session time reduced from avg. 2.5 mins to 0.5–1 mins.

User survey suggested about the monotonous posts type/ content type with less scope of interaction.

Soon after we reached an MAU of 1M+ on community with avg. members of 20K+ & top communities reaching upto 1M+ members, we noticed our both scroll depth & engagement went almost stagnant.

The community session time reduced from avg. 2.5 mins to 0.5–1 mins.

User survey suggested about the monotonous posts type/ content type with less scope of interaction.

It was characterised by a 3 major upgrades:

  1. Inviting professional creators to make their closed groups based on their expertise

  2. Institutionalising upskilling events under ‘Chai pe Charcha’, ‘Apna Xclusives’ etc.

  3. Re-designing connections & allowing referrals only with users who work in companies that are currently hiring.

$120K

Saved from IT Infrastructure, after network use cases were removed

68% M1 User Retention

Enhancing the Job use case, 7/10 users finding a job & using Community will return after 1 month

My Learnings Outcomes

To be honest, initially, I was a little scared. I had no experience designing 0 to 1 products. I was thinking What if something we build doesn’t work? How would we bounce back? Worst, what if it still doesn’t work?

I discussed this with my erstwhile manager Piyush Tyagi. He was aware of my personal priorities and reminded me that this wasn’t very difficult. That was some assurance. I also scraped the internet for videos, articles, etc. that could teach me about community & 0 to 1 product.

©KartikeyShandilyaPortfolio

©KartikeyShandilyaPortfolio

©KartikeyShandilyaPortfolio

©KartikeyShandilyaPortfolio

©KartikeyShandilyaPortfolio

©KartikeyShandilyaPortfolio