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Company focus

Avaya
Product Trade-Off Hard Member-only

For Avaya's OneCloud CCaaS solution, should development resources be allocated to expanding omnichannel capabilities or enhancing real-time analytics and reporting tools for contact center managers?

Prepared by NextSprints

15 mins
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Strategic Decision-Making Resource Allocation Product Roadmap Planning Contact Center Software Cloud Communications Customer Experience Feature Prioritization Analytics Omnichannel CCaaS Avaya
Product Management Trade-Off Question: Avaya OneCloud CCaaS feature prioritization between omnichannel and analytics

Introduction

For Avaya's OneCloud CCaaS solution, we're facing a critical resource allocation decision between expanding omnichannel capabilities and enhancing real-time analytics and reporting tools for contact center managers. This trade-off involves balancing customer-facing features with internal operational improvements. I'll analyze this decision through the lens of product strategy, user impact, technical feasibility, and business alignment.

Analysis Approach

I'll start by asking clarifying questions, then systematically evaluate the trade-off using a structured framework to ensure we consider all key factors in making this decision.

Step 1

Clarifying Questions (3 minutes)

  • Context: I'm thinking our current market position might influence this decision. Could you share how our omnichannel capabilities and analytics tools compare to our main competitors?

Why it matters: Helps prioritize based on competitive landscape Expected answer: We're lagging in omnichannel but competitive in analytics Impact: Would lean towards prioritizing omnichannel if true

  • Business Context: Based on our revenue model, I assume improving efficiency for contact center managers could directly impact our bottom line. How does our pricing structure relate to efficiency gains for our clients?

Why it matters: Aligns decision with revenue growth Expected answer: Pricing includes performance-based components Impact: Would strengthen case for analytics if true

  • User Impact: Considering our user segments, I'm curious about the adoption rates of our current omnichannel features versus analytics tools. Can you provide insight into usage patterns across different client sizes?

Why it matters: Ensures we're addressing actual user needs Expected answer: Larger clients use analytics more, smaller focus on omnichannel Impact: Might suggest a segmented approach to the trade-off

  • Technical: Given the complexity of integrating new channels, I'm wondering about the technical debt in our current omnichannel architecture. How modular is our system for adding new channels?

Why it matters: Affects feasibility and long-term scalability Expected answer: Moderately flexible, but some refactoring needed Impact: Could influence timeline and resource allocation

  • Resource & Timeline: Considering our development capacity, I'm thinking about the relative effort required for each option. What's our current split of frontend vs. backend/data engineering resources?

Why it matters: Determines feasibility within current team structure Expected answer: Balanced team with slight lean towards frontend Impact: Might favor omnichannel if frontend-heavy, analytics if backend-heavy

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Updated Jan 22, 2025