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Product Management Trade-Off Question: AssetWorks EAM implementation balancing comprehensive data collection and speed
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Nextsprints

Updated Jan 22, 2025

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How can AssetWorks balance the need for comprehensive data collection in its EAM solution against the desire for faster implementation times for new clients?

Product Trade-Off Hard Member-only
Trade-Off Analysis Product Strategy Data Management Enterprise Software Asset Management Facilities Management
Product Strategy Data Management AssetWorks EAM Software Implementation Optimization

Introduction

Balancing comprehensive data collection in AssetWorks' EAM solution with faster implementation times for new clients presents a critical trade-off. This scenario involves weighing the depth of asset management capabilities against the speed of onboarding and time-to-value for clients. I'll analyze this trade-off by examining the product, stakeholders, metrics, and potential solutions.

Analysis Approach

I'll approach this by first understanding the context, then analyzing the trade-off's impacts, designing experiments, and finally providing a data-driven recommendation.

Step 1

Clarifying Questions (3 minutes)

  • Context: I'm thinking AssetWorks might be facing competitive pressure in the EAM market. Could you share how our implementation times compare to key competitors?

Why it matters: Helps gauge urgency and market positioning Expected answer: We're slightly slower than average Impact: Would prioritize speed improvements if confirmed

  • Business Context: Based on our revenue model, I assume faster implementations could lead to quicker revenue recognition. How does our current implementation timeline affect our financial forecasts?

Why it matters: Aligns solution with financial goals Expected answer: Significant impact on quarterly revenues Impact: Would justify investing in streamlined implementation processes

  • User Impact: Considering the complexity of EAM systems, I'm curious about our client's pain points during implementation. What are the top 3 challenges reported by new clients during onboarding?

Why it matters: Identifies key areas for improvement Expected answer: Data migration, system customization, user training Impact: Would focus on simplifying these specific areas

  • Technical: Given the need for comprehensive data, I'm wondering about our current data model flexibility. How modular is our current data architecture, and could it support a phased implementation approach?

Why it matters: Determines feasibility of incremental data collection Expected answer: Moderately flexible, some limitations Impact: Would explore architectural changes if highly inflexible

  • Resource: Considering potential changes to our implementation process, I'm curious about our current team structure. How are our implementation teams organized, and do we have capacity for process innovation?

Why it matters: Assesses ability to execute on improvements Expected answer: Teams are at capacity but open to innovation Impact: Would consider cross-functional task force for improvements

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