How can we streamline the invoice approval process in Tradeshift Pay to reduce processing time?

Introduction

Streamlining the invoice approval process in Tradeshift Pay to reduce processing time is a critical objective that can significantly impact operational efficiency and user satisfaction. I'll approach this challenge by analyzing user segments, identifying pain points, generating solutions, and proposing metrics to measure success. Let's dive in.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking Tradeshift Pay might be targeting mid to large-sized enterprises with complex approval workflows. Could you help me understand the primary user base and their typical invoice volumes?

Why it matters: Determines the scale of the problem and potential impact of improvements Expected answer: Primarily mid-sized enterprises processing 1000+ invoices monthly Impact on approach: Would focus on automation and bulk processing features

• Considering user behavior, I'm curious about the current average processing time for invoices. Can you share some data on the current timeline from invoice receipt to approval?

Why it matters: Establishes a baseline for improvement and helps identify bottlenecks Expected answer: Average processing time is 5-7 business days Impact on approach: Would target specific stages in the approval process for optimization

• Thinking about pain points, I'm wondering if we have data on where users are spending the most time during the approval process. Can you provide insights into any specific steps that are causing delays?

Why it matters: Helps pinpoint areas for immediate improvement Expected answer: Manual data entry and multi-level approvals are major time sinks Impact on approach: Would prioritize solutions for data automation and streamlined approval flows

• Considering the product lifecycle, I'm curious about the maturity of Tradeshift Pay. How long has it been in the market, and what's the current user adoption rate?

Why it matters: Influences whether we focus on core functionality improvements or advanced features Expected answer: Product is 3 years old with 60% adoption rate among target customers Impact on approach: Would balance refining existing features with introducing new capabilities