How might Sisense expand its natural language query functionality to make data exploration more intuitive for business users?

Introduction

To expand Sisense's natural language query functionality for more intuitive data exploration by business users, we need to consider several key aspects. This improvement could significantly enhance user experience, increase adoption rates, and potentially give Sisense a competitive edge in the business intelligence market. I'll approach this challenge by first clarifying our understanding of the current situation, then analyzing user segments and pain points, before proposing and evaluating solutions.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the current state of Sisense's natural language query (NLQ) feature. Could you provide more details on its current capabilities and limitations?

Why it matters: Determines the baseline for improvement and identifies gaps. Expected answer: Basic NLQ with keyword matching, struggles with complex queries. Impact on approach: Would focus on enhancing query understanding and context awareness.

• Considering user behavior, I'm curious about how business users currently interact with Sisense. What's the typical user journey when exploring data, and at what points do they currently use or attempt to use NLQ?

Why it matters: Helps identify integration points and user expectations for NLQ. Expected answer: Users often start with pre-built dashboards, then attempt custom queries. Impact on approach: Would focus on seamless integration of NLQ into existing workflows.

• Thinking about Sisense's position in the market, how does our NLQ functionality compare to competitors like Tableau or Power BI?

Why it matters: Identifies competitive gaps and opportunities for differentiation. Expected answer: Slightly behind in NLQ capabilities, especially in handling complex queries. Impact on approach: Would prioritize advanced NLQ features to leapfrog competitors.

• Considering company alignment, what are Sisense's broader objectives for improving data accessibility and user empowerment?

Why it matters: Ensures our solution aligns with overall company strategy. Expected answer: Aiming to make data analysis accessible to non-technical users across organizations. Impact on approach: Would focus on simplifying complex analyses through intuitive NLQ.