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Company focus

Trumid
Product Improvement Hard Member-only

What features could Trumid add to its Attributed Trading protocol to increase liquidity and trade volumes?

Prepared by NextSprints

15 mins
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Market Analysis Feature Prioritization Metrics Definition Financial Services FinTech Fixed Income Markets User Experience Product Strategy Financial Technology Trading Platforms Liquidity Management
Product Management Improvement Question: Enhancing Trumid's trading protocol for increased liquidity and volumes

Introduction

To increase liquidity and trade volumes for Trumid's Attributed Trading protocol, we need to identify and implement strategic features that address user pain points and enhance the overall trading experience. I'll analyze the current state of the product, identify key user segments, and propose targeted solutions to drive engagement and liquidity.

Step 1

Clarifying Questions (5 mins)

  • Looking at the product context, I'm thinking Trumid's Attributed Trading protocol might be targeting institutional investors and traders. Could you confirm the primary user base and their key use cases?

Why it matters: Determines the focus of our feature improvements Expected answer: Primarily institutional investors and traders in fixed income markets Impact on approach: Would tailor solutions to professional traders' needs vs. retail investors

  • Considering user behavior, I'm curious about the current trading volumes and liquidity metrics. Can you share some insights on the average daily trading volume and the depth of the order book?

Why it matters: Helps quantify the scale of the liquidity problem Expected answer: Daily volumes around $X billion, with Y% of orders filled within Z minutes Impact on approach: Would focus on either increasing order flow or improving matching efficiency

  • Regarding pain points, I'm wondering about the main friction points users experience when using the Attributed Trading protocol. What are the top 3 complaints or feature requests from users?

Why it matters: Identifies key areas for improvement Expected answer: Slow order matching, limited asset types, lack of advanced order types Impact on approach: Would prioritize solutions addressing these specific pain points

  • Considering the product lifecycle, where does the Attributed Trading protocol stand in terms of market adoption? Are we looking at early adoption, rapid growth, or market maturity?

Why it matters: Influences whether to focus on user acquisition or retention strategies Expected answer: Early growth phase with increasing adoption but room for expansion Impact on approach: Would balance between attracting new users and enhancing features for existing ones

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Updated Mar 29, 2025