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Company focus

Telegram
Product Improvement Medium Member-only

How might Telegram enhance its channel discovery system to help users find more relevant content?

Prepared by NextSprints

15 mins
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User Segmentation Feature Prioritization Metrics Definition Social Media Messaging Content Platforms User Engagement Product Improvement Messaging Apps Content Discovery
Product Management Improvement Question: Enhancing Telegram's channel discovery system for better content relevance

Introduction

Enhancing Telegram's channel discovery system to help users find more relevant content is a critical challenge that could significantly impact user engagement and retention. As we dive into this product improvement case, we'll explore the current state of Telegram's channel discovery, identify key user segments and their pain points, and propose innovative solutions to enhance content relevance and user satisfaction.

Step 1

Clarifying Questions (5 mins)

  • Looking at Telegram's position in the messaging app market, I'm curious about the primary motivation behind improving the channel discovery system. Could you share more about the specific business objectives driving this initiative? Is it user growth, engagement, or monetization?

Why it matters: This helps us align our solution with Telegram's strategic goals. Expected answer: Primarily focused on increasing user engagement and retention. Impact on approach: Would prioritize features that encourage daily active usage and content consumption.

  • Considering Telegram's diverse user base, I'm wondering about the current user behavior around channel discovery. What percentage of users actively search for new channels, and how often do they do so?

Why it matters: Helps us understand the scale of the problem and potential impact. Expected answer: About 30% of users search for new channels weekly. Impact on approach: Would focus on making discovery more intuitive and personalized for casual searchers.

  • Given the importance of data in content recommendation systems, I'm curious about Telegram's current data collection and analysis capabilities. What types of user data are currently being leveraged for channel recommendations, if any?

Why it matters: Determines the feasibility of implementing advanced recommendation algorithms. Expected answer: Basic user preferences and channel subscription history are collected. Impact on approach: Would explore ways to ethically expand data collection or maximize use of existing data.

  • Considering the competitive landscape, I'm interested in understanding how Telegram's channel discovery compares to other messaging platforms or content discovery apps. Are there any specific competitors or features that users frequently compare us to?

Why it matters: Helps identify potential areas for differentiation or inspiration. Expected answer: Users often compare to WhatsApp's broadcast lists or Reddit's subreddit discovery. Impact on approach: Would look for opportunities to leapfrog competitors with unique discovery features.

Tip

At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.

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NextSprints

Updated Jan 17, 2025