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PHILONET.AI

Building a more meaningful social-reading experience

Worked with the product team to improve onboarding, engagement and the reading-to-discussion experience through user feedback, product observation and iterative product decisions.

Role: Product Management Intern

Product Discovery

User Research

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Engagement

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UX

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Product Iteration

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Prioritisation

The product

Philonet.ai is a social-reading platform built around the idea of 'read and think together.' Users bring articles from elsewhere, highlight sections, comment and share perspectives, invite friends or different viewpoints, and discover or participate in reading discussions.

The product was already launched when I joined. I worked collaboratively with the product team across onboarding, engagement, UX, user feedback and product iteration.

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READ → THINK → DISCUSS

Problem -From reading to meaningful discussion

Philonet.ai was built around the idea of “read and think together,” but getting users from simply reading an article to actively contributing and returning was difficult.

The core product challenge was:

How do we turn passive reading into meaningful participation and sustained discussion?

Discovery questions
  • Do new users understand the value of the product quickly?
  • What makes someone contribute their first thought?
  • What kind of content creates sustained discussion?

What I found?

The engagement problem started before discussion
 
Product behaviour, admin-panel signals, and team/user feedback pointed to several friction points across the journey:

Onboarding
New users did not always understand the product's value quickly.
 

First contribution
Moving from reading to sharing a first thought required more encouragement.
 

Content fit
The type of content available influenced whether users had something they wanted to discuss.
 

Return behaviour
Getting users to participate once did not automatically create a reason to return.

The deeper issue was that users needed a clear reason to read, think, contribute, and continue participating.

Engagement was not just a notification problem

This meant improving engagement could not rely on a single feature or notification. The product experience itself needed to make the value of participation clearer and reduce the friction between reading → thinking → contributing.

The Insight 

The decision

Strengthen the core reading-to-discussion loop before adding complexity

The product team focused on three priorities:

Make the value of Philonet clearer during onboarding.
Encourage the first meaningful contribution.
Simplify the experience rather than continuously adding features.

There was also a positioning trade-off around content: focused categories could provide clearer initial positioning, while broader categories created more room for exploration and discovery.

What I did

Improving the path from reader to participant

I worked with the product team across onboarding, engagement and product iteration.

1. Onboarding

Iterated on the onboarding experience based on feedback from PMs, readers, writers and professors to communicate the product's value more clearly.

2. First contribution

Explored recognition, notifications, appreciation and encouragement to help users move from: Reader → Contributor → Participant

3. Content strategy

Contributed to discussions around focused versus broader content categories and the trade-off between early positioning and long-term exploration.

4. Product simplification

Identified redundant interface elements and supported their simplification or removal.

5. Feature exploration

Explored ideas such as reading time, in-platform vocabulary and research/AI assistance to support the journey: Read → Question → Research → Form an opinion → Contribute

Some ideas, such as the animal-spirit reading archetype, were ultimately dropped because they risked making the product too heavy.

THE PRODUCT LOOP

READ → THINK → DISCUSS

This was the core experience the product was trying to strengthen: reading creates the input, reflection creates the thought, and discussion turns that thought into participation.

Impact

The work helped make the product's value clearer, encourage early contribution, and simplify the reading-to-discussion experience.

It also helped the team think about engagement as a product experience problem, rather than something that could be solved through notifications alone.

What I learned

01

Engagement is a product problem, not just a notification problem.

02

Cold-start requires social design.

03

More features can make a product weaker.

04

Product positioning is a trade-off between clarity and room for exploration.

Product Discovery · User Research · Engagement Design · UX & Onboarding · Product Iteration · Prioritisation · Trade-off Thinking · Product Strategy

What this project strengthened

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