For Watershed's supplier engagement tools, should we emphasize ease of data collection from suppliers or granularity of emissions data gathered?

Introduction

The trade-off we're examining for Watershed's supplier engagement tools is between emphasizing ease of data collection from suppliers versus granularity of emissions data gathered. This scenario involves balancing user experience with data quality, which is crucial for effective carbon accounting and sustainability reporting. I'll analyze this trade-off by considering various stakeholders, potential impacts, and experimental approaches to inform our decision.

Step 1

Clarifying Questions (3 minutes)

• Based on the current market trends, I'm thinking sustainability reporting is becoming increasingly important for businesses. Could you provide more context on the urgency of this feature for our customers?

Why it matters: Helps prioritize development efforts and resource allocation Expected answer: High urgency due to regulatory pressures and investor demands Impact on approach: Would influence the balance between speed of implementation and data quality

• Considering our business model, I assume this tool is part of a larger sustainability management platform. How does this specific feature tie into our overall revenue strategy?

Why it matters: Aligns product decisions with business objectives Expected answer: Critical for customer acquisition and retention in enterprise segment Impact on approach: May lean towards data granularity to meet sophisticated client needs

• Looking at user behavior, I'm curious about the current pain points in data collection. What feedback have we received from suppliers regarding the existing process?

Why it matters: Identifies key areas for improvement in user experience Expected answer: Suppliers find the process time-consuming and complex Impact on approach: Could prioritize ease of use to increase supplier participation

• From a technical perspective, I'm wondering about our data processing capabilities. How scalable is our current infrastructure to handle potentially larger volumes of granular data?

Why it matters: Ensures technical feasibility of chosen approach Expected answer: Current system can handle increased data but may require optimization Impact on approach: Might influence the degree of granularity we can realistically pursue

• Regarding our development resources, what's our current team capacity for this project? Are we looking at a fixed timeline or can we adjust based on the chosen direction?

Why it matters: Determines the scope of what can be achieved Expected answer: Limited resources with some flexibility in timeline Impact on approach: Could lead to a phased implementation strategy