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Upwork exec proposes data-driven framework for product-engineering conflict resolution

By PulseAugur Editorial · [1 sources] ·

A new framework proposed by Aruna Veerappan, Senior Director of Engineering at Upwork, aims to resolve conflicts between product and engineering teams by using a data-driven approach. The framework categorizes disagreements into goal, timeline, resource, or process conflicts. It then employs a multi-criteria decision model (MCDM) that scores initiatives based on ROI, risk retention, and reputational damage, using metrics like DORA metrics and SLO adherence to ensure objectivity. This model is paired with a strategic capacity balancing approach, allocating specific percentages of resources to short-term delivery, platform modernization, and long-term innovation. AI

IMPACT Provides a structured approach for AI development teams to balance feature delivery with system health and technical debt.

RANK_REASON Opinion piece by a named credible voice on a methodology for managing AI-adjacent product development.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Upwork exec proposes data-driven framework for product-engineering conflict resolution

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Opinion piece by a named credible voice on a methodology for managing AI-adjacent product development.
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product, infra, opinion
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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Aruna Veerappan, Forbes Councils Member ·

    A Data-Driven Framework For Product-Engineering Conflict Resolution

    The tension between the product and engineering teams is not a flaw. It is a structural characteristic of how modern software organizations operate.

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