Should Aurora Solar prioritize adding more detailed shading analysis features to its solar design software, potentially slowing down the design process, or focus on faster, simplified designs to increase user throughput?

Introduction

The trade-off Aurora Solar faces is between adding detailed shading analysis features to its solar design software, potentially slowing down the design process, or focusing on faster, simplified designs to increase user throughput. This scenario involves balancing precision with efficiency in solar panel design and installation. I'll analyze this trade-off by examining the product context, stakeholder impacts, and potential outcomes to provide a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm thinking Aurora Solar primarily serves solar installation companies. Could you confirm the main user base and if there are any other significant customer segments we should consider?

Why it matters: Helps tailor the solution to specific user needs Expected answer: Primarily solar installers, possibly some DIY homeowners Impact on approach: Would influence feature prioritization based on user expertise

• Business Context: Based on the industry, I assume Aurora Solar uses a SaaS model. Can you share how pricing is structured – is it per design, per user, or another model?

Why it matters: Affects revenue implications of faster vs. more detailed designs Expected answer: Likely subscription-based with tiered pricing Impact on approach: Would inform whether to focus on volume or premium features

• User Impact: I'm thinking design speed is crucial for installers. How much time does a typical design currently take, and what's the target reduction?

Why it matters: Helps quantify the potential efficiency gains Expected answer: Current process takes X hours, aiming for Y% reduction Impact on approach: Would set benchmarks for acceptable performance trade-offs

• Technical: Regarding the detailed shading analysis, I assume it requires complex calculations. What's the current bottleneck – processing power, data input, or algo

rithm efficiency? Why it matters: Identifies where to focus optimization efforts Expected answer: Likely a combination, with one factor dominating Impact on approach: Would guide whether to optimize existing features or redesign

• Timeline: Considering the solar industry's rapid growth, how urgent is this decision? Are we looking at a Q4 release or a longer-term roadmap item?

Why it matters: Influences the depth of analysis and testing we can perform Expected answer: Moderately urgent, aiming for implementation within 6 months Impact on approach: Would determine the scope of experiments and rollout strategy