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Company focus

Enverus
Product Improvement Hard Member-only

How can Enverus enhance its DrillingInfo platform to provide more accurate well production forecasts?

Prepared by NextSprints

15 mins
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Data Analysis Industry Knowledge Strategic Thinking Oil & Gas Energy Data Analytics Product Improvement Data Analytics Machine Learning Forecasting Oil & Gas Tech
Product Management Improvement Question: Enhancing well production forecasts for Enverus DrillingInfo platform

Introduction

To enhance Enverus' DrillingInfo platform for more accurate well production forecasts, we need to dive deep into user needs, data quality, and predictive modeling capabilities. I'll outline a strategic approach to improve this critical feature, considering both technical and user-centric aspects.

Step 1

Clarifying Questions (5 mins)

  • Looking at the product context, I'm thinking about the primary use cases for well production forecasts. Could you help me understand who the main users of this feature are and how they typically interact with it?

Why it matters: Determines the focus of our improvements and potential impact. Expected answer: Oil and gas companies, investors, and analysts use it for decision-making. Impact on approach: Would tailor improvements to specific user workflows and needs.

  • Considering user behavior, I'm curious about the current accuracy levels of the forecasts. What's the typical margin of error, and how does it compare to industry standards?

Why it matters: Helps quantify the problem and set improvement targets. Expected answer: Current accuracy is within 15-20% of actual production, industry standard is 10-15%. Impact on approach: Would focus on closing the gap to industry standards as a minimum goal.

  • Thinking about the product lifecycle, where does the DrillingInfo platform stand in terms of market penetration and user growth? Are we looking to expand the user base or deepen engagement with existing users?

Why it matters: Influences whether we prioritize new features or optimize existing ones. Expected answer: High market penetration, focus on retaining users and increasing engagement. Impact on approach: Would emphasize improving core functionality over adding new features.

  • Regarding external factors, how has the recent volatility in oil prices affected user needs and expectations for production forecasts?

Why it matters: Helps understand changing market dynamics and user priorities. Expected answer: Users need more frequent updates and scenario modeling capabilities. Impact on approach: Would consider adding real-time data integration and scenario analysis tools.

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Updated Jan 22, 2025