Should Sprinklr prioritize adding new features or improving existing functionality to boost user retention?

Introduction

The key trade-off we're examining is whether Sprinklr should prioritize adding new features or improving existing functionality to boost user retention. This decision is critical for Sprinklr's product strategy and long-term success. I'll analyze this trade-off by exploring user needs, business objectives, and potential impacts on retention. My approach will involve clarifying the context, understanding the product, identifying key metrics, designing experiments, and providing a data-driven recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Sprinklr is facing retention challenges. Could you share any specific retention metrics or trends that have led to this question?

Why it matters: Helps quantify the problem and set benchmarks for improvement Expected answer: Retention has dropped 15% in the last quarter Impact on approach: Would focus on quick wins if the drop is recent and severe

• Business Context: Based on Sprinklr's position as a customer experience management platform, I'm thinking retention might be closely tied to contract renewals. How does our current retention rate impact our revenue model and growth projections?

Why it matters: Aligns solution with financial implications Expected answer: Each 1% increase in retention translates to $X million in ARR Impact on approach: Would prioritize high-value customer segments if financial impact is significant

• User Impact: Considering Sprinklr's diverse user base, I'm curious about which user segments are most affected by retention issues. Can you provide insights into which user types or roles we're struggling to retain?

Why it matters: Helps target solutions to specific user needs Expected answer: Mid-level managers in large enterprises are churning at higher rates Impact on approach: Would focus on features or improvements relevant to this segment

• Technical: Given Sprinklr's complex architecture, I'm wondering about the technical feasibility of rapidly iterating on existing features versus adding new ones. What's our current velocity for each type of development?

Why it matters: Informs realistic timelines and resource allocation Expected answer: Existing feature improvements are 30% faster to implement Impact on approach: Might lean towards improving existing features if significantly faster

• Resource: Considering potential budget constraints, I'm curious about our current resource allocation between new feature development and existing feature maintenance. How flexible are we to shift resources?

Why it matters: Determines scope of possible solutions Expected answer: 70% new features, 30% maintenance, with some flexibility Impact on approach: Would explore reallocation strategies if current split is suboptimal