For QI Tech's open banking platform, should we prioritize adding more financial institution integrations or developing advanced data analytics tools for existing connections?

Introduction

For QI Tech's open banking platform, we're facing a critical trade-off between expanding our financial institution integrations and developing advanced data analytics tools for existing connections. This decision will significantly impact our product strategy, user value proposition, and competitive positioning. I'll analyze this trade-off by examining our current product landscape, evaluating potential impacts, and proposing a data-driven approach to guide our decision-making process.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm thinking our current integration coverage might be influencing this decision. Could you share how many financial institutions we're currently integrated with and what percentage of the market that represents?

Why it matters: Helps assess the potential impact of adding more integrations Expected answer: 50-100 integrations, covering 60-70% of the market Impact on approach: Lower coverage would prioritize integrations, higher might favor analytics

• Business Context: Based on our revenue model, I assume we charge per API call or data volume. Is this correct, and are there any differences in pricing between basic data access and advanced analytics?

Why it matters: Informs the financial implications of each option Expected answer: Tiered pricing model with premium for advanced analytics Impact on approach: Higher analytics pricing would strengthen the case for developing those tools

• User Impact: I'm curious about our user segments. Are we primarily serving large enterprises, SMBs, or a mix? How do their needs differ regarding integrations vs. analytics?

Why it matters: Aligns product development with user needs and potential market expansion Expected answer: Mix of users, with enterprises favoring analytics and SMBs needing more integrations Impact on approach: Would help prioritize based on our target growth segment

• Technical: Considering our current architecture, how much additional effort would be required to add new integrations compared to developing advanced analytics capabilities?

Why it matters: Assesses feasibility and resource requirements for each option Expected answer: Integrations are standardized and relatively easy, analytics require significant backend work Impact on approach: Easier integrations might allow pursuing both paths simultaneously

• Timeline: Given our current roadmap, are there any upcoming events or partner commitments that would influence the urgency of either option?

Why it matters: Helps prioritize based on external factors and commitments Expected answer: Major fintech conference in 6 months where we'd want to showcase new capabilities Impact on approach: Might push for a hybrid solution to have progress on both fronts to showcase