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Product Management Analytics Question: Defining success metrics for Aruba's AI-powered network management platform
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Nextsprints

Updated Jan 22, 2025

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Asked at Aruba

15 mins

How would you define the success of Aruba's ESP (Edge Services Platform)?

Product Success Metrics Hard Member-only
Metric Definition Stakeholder Analysis AI/ML Understanding Enterprise Networking Cloud Computing IT Infrastructure
Product Analytics Success Metrics AI/ML Enterprise Software Network Management

Introduction

Defining the success of Aruba's Edge Services Platform (ESP) requires a comprehensive approach that considers multiple stakeholders and metrics. To effectively address this product success metrics challenge, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Framework Overview

I'll follow a simple success metrics framework covering product context, success metrics hierarchy.

Step 1

Product Context

Aruba's Edge Services Platform (ESP) is a cloud-native solution designed to automate, unify, and protect the Edge Network. It combines AIOps, Zero Trust Security, and a Unified Infrastructure for campus, data center, branch, and remote worker locations.

Key stakeholders include:

  1. IT administrators: Seeking simplified network management and improved visibility
  2. CIOs/CTOs: Looking for cost-effective, scalable network solutions
  3. End-users: Expecting seamless, secure connectivity
  4. Aruba (HPE): Aiming to increase market share and revenue

User flow typically involves:

  1. Network setup and configuration through ESP's central dashboard
  2. Ongoing monitoring and management of network performance
  3. Automated issue detection and resolution using AI/ML capabilities
  4. Security policy enforcement across all network edges

ESP fits into HPE's broader strategy of offering edge-to-cloud solutions, competing with Cisco's DNA Center and Juniper's Mist AI. It differentiates itself through its unified approach to wired, wireless, and WAN management, as well as its strong emphasis on AI-driven operations.

In terms of product lifecycle, ESP is in the growth stage, with ongoing feature additions and increasing market adoption.

Software-specific context:

  • Platform: Cloud-native architecture
  • Integration points: Various network devices, security tools, and IT service management systems
  • Deployment model: SaaS with on-premises components for local processing

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