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Company focus

Unibuddy
Product Improvement Medium Member-only

How can Unibuddy improve its chat interface to make conversations between prospective students and ambassadors more engaging?

Prepared by NextSprints

15 mins
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User Research Feature Prioritization Metrics Analysis Education Technology Higher Education Student Recruitment User Experience EdTech Higher Education Student Engagement Chat Interfaces
Product Management Improvement Question: Enhancing Unibuddy's chat interface for better student-ambassador engagement

Introduction

To improve Unibuddy's chat interface for more engaging conversations between prospective students and ambassadors, we need to analyze the current user experience, identify pain points, and develop innovative solutions. I'll approach this challenge by examining user segments, analyzing pain points, generating solutions, and proposing metrics for success.

Framework overview

I'll be using a structured approach to tackle this problem, focusing on user needs, product context, and measurable outcomes. Let's start by clarifying some key aspects of the current situation.

Step 1

Clarifying Questions (5 mins)

  • Looking at Unibuddy's position in the higher education space, I'm thinking about the product's current market penetration. Could you share how many universities are currently using Unibuddy, and what percentage of the total addressable market this represents?

Why it matters: This helps us understand the scale of the product and potential for growth. Expected answer: Unibuddy is used by 500 universities, representing about 20% of the target market. Impact on approach: If market penetration is low, we might focus on features that aid adoption; if high, we'd prioritize retention and engagement.

  • Considering the chat interface is central to Unibuddy's value proposition, I'm curious about user engagement metrics. What's the average conversation length, and how has this changed over the past year?

Why it matters: This indicates the current level of engagement and whether there's a trend we need to address. Expected answer: Average conversation length is 10 minutes, down from 15 minutes last year. Impact on approach: A declining trend would suggest a need for more engaging features or content to keep users invested in conversations.

  • Given that Unibuddy connects prospective students with ambassadors, I'm wondering about the onboarding and training process for ambassadors. How are ambassadors currently prepared to engage effectively with prospective students?

Why it matters: The quality of conversations heavily depends on ambassador preparedness. Expected answer: Ambassadors receive a brief online training and access to a FAQ document. Impact on approach: If training is minimal, we might need to incorporate more in-app support or guidance for ambassadors.

  • Thinking about the competitive landscape, I'm curious about Unibuddy's unique selling proposition. What key features or aspects of the chat interface do users consistently praise compared to alternative solutions?

Why it matters: This helps us understand what's working well and should be preserved or enhanced. Expected answer: Users appreciate the ability to match with ambassadors based on specific criteria (e.g., course, nationality). Impact on approach: We'd want to build upon these strengths while addressing weaknesses in the chat experience.

Tip

Now that we've gathered some context, let's take a minute to organize our thoughts before diving into user segmentation.

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NextSprints

Updated Jan 22, 2025