Hi there, I'm Gaurav, I recently joined an early stage consulting firm and prior to that I did product management for an year at a B2B SaaS startup based out of US.
I've picked The KEN for my Onboarding project, as I did acquisition with the same product.
Elevator pitches and context setting I have already covered in the Acquisition project, please reference to it, incase it is required.
Please feel free to skip to ICP definition for this project!
Criteria | Description |
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What is the Ken? | Subscriber-only business news publication |
Founded | 2016 |
Company Stage | Series B |
Team Size | 10-50 employees |
Devices | Available on Mobile (across Android and iPhone) & Web |
Monetization | Subscription first revenue model |
Region(s) | India and Southeast Asia, although subscribers are from around the globe. |
Offerings | Individual Subscriptions, Group Subscriptions (Campus and Corporate) |
Total Subscribers | 5,00,000+ |
Delivery Mechanisms | Stories, Visual Stories, Newsletters, Podcasts |
Core Value Proposition | 1. Deep, Meticulously Researched Journalism: Provides in-depth, well-researched stories that go beyond surface-level news |
3. Trust in news has fallen in line with global trends:
Trust in news has dropped over time, with
social media being the least trustworthy channel. Not surprisingly, more Indian users are accessing news on Social Media (24%). Consumers seeking news are often flooded with advertisements and promotional content that looks like news. Enter The KEN, which cuts through all the BS, has no banners and Ad model, just a subscription based offering behind a paywall.
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​ | ICP-1: Curious Connector | ICP-2: Insightful Investor | ICP-3: Networking Novice |
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Demographics | ​ | ​ | |
Name, Age | Ramesh, 28 years old | Venkat, 46 years old | Zulfiqar, 32 years old |
Occupation | Chief of Staff | Angel Investor | MBA Student |
Company/university | Pilgrim | Little Feet Advisors | Northwestern University |
Location | Mumbai | Chennai | Chicago, USA |
Marital Status | Unmarried | Married with Children | Unmarried |
Income | 28 LPA | 52 LPA | NA |
Industry/Sector | D2C, Ecommerce, FMCG | Gen AI | Hospitals and Healthcare |
Apps | LinkedIn, Twitter, Zomato, Stable Money, Spotify, Instagram | LinkedIn, Twitter, Facebook, Zerodha, Perplexity | Twitter, LinkedIn, LMS, Whatsapp |
Career Goals | Become a founder in the next 5 years | Scale investments by 10X in 5 years | Get a job and climb up the ladder to CXO folks in 19 years |
Weekends? | Social gatherings, community events, spends time with friends | Spends time with family, keynote speaker at events | Social gatherings, coffee table discussions, go for a nature walk |
Weekdays outside Work? | Gym, online forums, out of office with colleagues | Spend time with family, walking, mentorship | Spends time with friends, eating out |
Time vs Money | Time over Money | Time over Money | Time and Money |
No. of Paid Subscriptions | 4 | 8 | 5 |
Journalism Consumption | ​ | ||
Daily average time | 45 mins to 1 hour | 1 to 2 hours | 2 to 3 hours |
Text vs Audio/Video | Prefers textual content over visual/audio | Prefers textual content over visual/audio | Prefers textual and video/audio at the same level. |
Type of Content | Current Affairs, Self Help books, biographies, business news | Money Markets, startups and technology. | Follows business and political content on different subscriptions |
Topics they follow | Digital Tech, E-commerce, Personal Finance | Gen AI, Industry 4.0, Venture Capitalism, Angel Investing | Startups, healthcare in India, healthcare in USA, edtech, viral |
Goals |
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Values | Relevance, Timeliness, Accurate | Investigative, Ethical, Unbiasedness | Detail oriented, Well referenced |
Online Subscriptions | Morning Brew, Economic Times, Finshots | Register UK, NY Times, The Verge, This week in tech | Wallstreet journal, economist, Hindu, The Wire |
Offline Subscriptions | Self help books | Newspapers: Times of India & Indian Express | NA |
KEN Specific | |||
Subscription Type | Premium (SEA) | Basic (India) | Premium (Student Discount) |
Current LTV | 2 years, before that 4 years free subscriber | 3 years, downgraded from SEA to India an year back | 3 years, went through a free trial |
Platform | Desktop | Desktop | Desktop, IPad |
Frequency | 2-3 articles a week, usually reads in evenings/weekends | 4 articles a week, reads summary before investing time in an article (50%) | Once a week app open, reads 2-3 articles per open |
Views | The KEN is a devil's advocate, always challenging the usual bias that exist in other media | The KEN has good industry coverage with a decent community banter. | The KEN has in-depth coverage of content. |
Likes? |
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Painpoints? |
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Acquisition |
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| Discovered KEN through a reddit thread and then got started with 7 day trial |
WOM/Referral |
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| Has recommended the ken to his friends by gifting 1 month subscriptions |
Usage |
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Aha moment |
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Favorite offering | NUTGRAF, Trade Tricks |
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Least explored offering | Podcasts, Infographics | Visual Stories | Visual stories |
Reading Experience? (out of 5) | 4 | 4 | 3.5 |
Most used product feature | Bookmark, | Subscriber highlights, bookmark | Podcasts, subscriber highlights |
Value for Money | High | Medium | Medium |
Goal Priority | Goal Type | Curious Connector | Insightful Investor | Networking Novice |
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Primary | Personal | When Ramesh wants to stay informed about the latest trends and developments in business, technology, and policy, he turns to The Ken for deep, well-researched articles that satisfy his curiosity. | ​ | When Zulfiqar, an MBA student, needs to build his knowledge base, he uses The Ken to access relevant information that boosts his confidence and enables him to engage in discussions with a strong foundation. |
Financial | When Venkat needs to inform his investment decisions, he relies on The Ken for unique insights and predictive analysis that help him identify emerging trends and potential opportunities | |||
Secondary | Social | When Ramesh, who thrives on connecting ideas and people, he uses insights from The Ken to facilitate meaningful conversations in industrial meetups. | When Zulfiqar needs to make a memorable impression and connect intellectually, he leverages insights from The Ken to enhance his social capital at networking events, academic settings, and recruitment fairs. | |
Functional | When Venkat evaluates startups, markets, and economic trends, he relies on The Ken for detailed, fact-based information, making it an essential tool in his investment decision-making process | ​ | ||
Tertiary | Functional | When Ramesh needs to build expertise in his industry and make well-informed decisions, he relies on The Ken for detailed analyses and market insights that enhance his strategic thinking. | ​ | When Zulfiqar needs to stand out in internships and job interviews, access to exclusive content from The Ken gives him a functional edge over his peers. |
Social | ​ | When Venkat needs to shape discussions and decisions in board meetings and investment pitches, he uses information from The Ken, making him a go-to person for advice and collaboration, and expanding his influence and social capital | ​ |
What are the factors on which we can validate a JTBD and also prioritize for current impact?
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The KEN's recent development has seen the following major updates:
Based on the KEN's recent moves, it becomes very adamant that the best ICP for us will be to solve for The Curious Connector:
Onboarding teardown is attached in the below PDF
Assumptions:
Onboarding Teardown The KEN.pdf
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Hypothesis 1: When users complete the first article within the first session, they have a higher probability of converting into a paid subscription.
Reasoning: The completion of the first full article signals that the user is engaged with the content. If a user reads an entire article, it suggests that they find value in the type and depth of content offered by The Ken. This engagement is critical because it shows that the user is willing to invest time in the content, which is a precursor to subscribing. The quality and relevance of the first article read can set the tone for the user's future interactions with the platform.
Metrics:
Metric Type | Metric Category | Metric Name | Metric Definition |
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L-1 | Activation | First Article Completion Rate | Percentage of users who complete reading their first article during their first session after signing up. |
L-2 | Engagement | Time Spent on First Article | Average time users spend reading their first article |
L-3 | Retention | Return Rate for Second Session | Percentage of users who return for a second session within 48 hours of completing their first article. |
Hypothesis 2: Sharing an article within the first week of the trial period indicates strong engagement and advocacy
Reasoning: If a user shares an article with their network, it indicates a high level of satisfaction and perceived value from The Ken's content. Sharing is a strong indicator of user endorsement and implies that the user sees the content as insightful enough to be passed on to others. This behavior not only signals activation but also aids in organic user acquisition through word of mouth.
Metrics:
Metric Type | Metric Category | Metric Name | Metric Definition |
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L-1 | Activation | Article Sharing Rate | Percentage of users who share an article within the first week of the trial period. |
L-2 | Acquisition | Social Referral Traffic | The number of new visitors to The Ken referred by shared articles from users. |
L-2 | Retention | Conversion Rate of Users Who Shared Articles | Percentage of users who shared an article and then converted to a paid subscription. |
Hypothesis 3: Saving or bookmarking an article within the first three days of the trial period suggests that the user finds the content valuable
Reasoning: The act of saving or bookmarking articles suggests that the user intends to return to the content later. This behavior indicates a deeper level of engagement, where the user sees ongoing value in the content. Users who save articles are more likely to become long-term subscribers, as they are actively building a personal library of valuable resources.
Metric Type | Metric Category | Metric Name | Metric Definition |
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L-1 | Activation | Article Save/Bookmark Rate | Percentage of users who save or bookmark at least one article within the first three days of the trial. |
L-2 | Engagement | Return Rate for Saved Articles | Percentage of users who return to read their saved or bookmarked articles. |
L-2 | Retention | Subscription Conversion Rate of Users Who Saved Articles | Percentage of users who saved an article and then converted to a paid subscription. |
Hypothesis 4: Opening and clicking through an email newsletter within the first week of receiving it indicates sustained interest, which is a strong predictor of trial-to-subscription conversion
Reasoning: Subscribing to and interacting with email newsletters (e.g., opening, clicking links) demonstrates ongoing interest and engagement with The Ken's content. Email engagement can be a critical activation metric because it reflects the user's commitment to staying informed via The Ken's updates. Consistent interaction with newsletters can lead to a higher likelihood of converting to a paid subscriber.
Metric Type | Metric Category | Metric Name | Metric Definition |
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L-1 | Activation | Email Newsletter Click-Through Rate (CTR) | Percentage of users who click on links within an email newsletter during their first week. |
L-2 | Engagement | Time Spent on Site After Email Click | Average time spent on The Ken after a user clicks through an email newsletter link. |
L-2 | Retention | Subscription Conversion Rate of Email Clickers | Percentage of users who clicked on an email newsletter and then converted to a paid subscription. |
Hypothesis 5: Reading 3 articles within the first week of the trial period significantly increases the likelihood of converting to a paying subscriber
Reasoning: Users who read multiple articles within the first week are likely finding consistent value in The Ken's content. This behavior indicates that the user is exploring various topics and getting a feel for the breadth and depth of the content offered. The more content a user consumes, the more likely they are to appreciate the unique insights and analyses, which increases their willingness to pay for continued access once the trial ends. Additionally, engaging with multiple articles may build a habit of returning to the platform, further solidifying the perceived value.
Metrics to Track:
Metric Type | Metric Category | Metric Name | Metric Definition |
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L-1 | Activation | Article Read Rate | Percentage of users who read at least three articles within the first week of the trial period. |
L-2 | Engagement | Session Frequency During First Week | Average number of sessions a user has within the first week after signing up. |
L-2 | Retention | Trial-to-Subscription Conversion Rate for Multiple Article Readers | Percentage of users who read at least three articles in the first week and then convert to a paid subscriptio |
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Thank you!
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Hi there! We'll take this one step at a time
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Projects and assignments are crucial for learning at GrowthX and we're here to support you with anything you need. If you struggle with a blank canvas, use this boilerplate to start. Remember, this is a flexible resource—tweak it as needed. Some sections might not apply to your product and you might come up with great ideas not listed here, don't let be restricted.
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Go wild and dive deep—we love well-researched documents that cover all bases with depth and understanding.
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Do user calls to understand the customer for your product and come up with two ICP's.
(there are separate tables for both B2C and B2B products, put down your your ICP’s in a Table Format, use this as a reference.
This table makes it super clear for anyone to understand who your users are and what differentiates them. It also helps bring out the various details you have gone into understanding your users better)
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B2C Table
Criteria | User 1 | User 2 |
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Name | ||
Age | ​ | |
Demographics | ||
(refer the table below) | ​ | |
Need | ||
Pain Point | ​ | |
Solution | ||
Behaviour | ||
(refer the table below) | ||
Perceived Value of Brand | ||
Marketing Pitch | ||
Goals | ​ | |
Frequency of use case | ||
Average Spend on the product | ​ | ​ |
Value Accessibility to product | ​ | |
Value Experience of the product | ​ | |
Notes | ​ |
B2B Table:
Criteria | ICP1 | ICP2 |
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Name | ​ | |
Company Size | ​ | |
Location | ​ | |
Funding Raised | ​ | |
Industry Domain | ||
Stage of the company | ||
Organization Structure | ||
Decision Maker | ||
Decision Blocker | ||
Frequency of use case | ||
Products used | ||
in workplace | ||
Organisational | ||
Goals | ||
Preferred Outreach Channels | ||
Conversion Time | ||
GMV | ||
Growth of company | ||
Motivation | ||
Organization Influence | ​ | |
Tools Utilized in workspace | ||
Decision Time | ​ |
Understand user goals and their JTBD on the platform. When looking at user goals, look at 4 themes, user goals will always be within one of the four.
For Cult:
For RazorpayX:
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You want to talk to users and understand why they're signing up. What's the end goal for them and for what job are they "hiring" your product for.
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What should the teardown include?
The entire onboarding process. Just like we did in the deep dive session —
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Here’s a list of things we’d recommend you evaluate your onboarding on:
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Also, evaluate your onboarding on the cognitive biases.
Don't worry, you don't have to include biases but it's a good practice to start tagging things to their respective biases.
(We identify issues when we are able to tag/name them, yes another bias)​
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Hypothesize at least 5 activation metrics that could be there for your product. (More the better)
Example format for your hypothesis:
Hypothesis 1: <Enter your one/two lines>
Reasoning: In about 5-6 lines explain why this could be an activation metric
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After this, mention in detail all the metrics you'd be tracking​
Examples:
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