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Product Management Metrics Question: Evaluating economic report effectiveness through key performance indicators
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Nextsprints

Updated Jan 22, 2025

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What metrics would you use to evaluate Morning Consult's Economic Intelligence reports?

Product Success Metrics Hard Member-only
Metric Definition Data Analysis Strategic Thinking Market Research Economic Consulting Financial Services
Product Metrics Business Intelligence Economic Analysis Data Intelligence Morning Consult

Introduction

Evaluating Morning Consult's Economic Intelligence reports requires a comprehensive approach to product success metrics. These reports provide critical economic insights to businesses, policymakers, and investors, making their accuracy, timeliness, and impact crucial. To assess their effectiveness, 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, and strategic initiatives.

Step 1

Product Context

Morning Consult's Economic Intelligence reports are a suite of data-driven economic analyses and forecasts. These reports leverage proprietary survey data, economic modeling, and expert analysis to provide timely insights on consumer sentiment, economic trends, and market dynamics.

Key stakeholders include:

  1. Subscribers (businesses, financial institutions, government agencies)
  2. Morning Consult's research team
  3. Data sources and partners
  4. Sales and marketing teams

User flow:

  1. Subscribers access the platform and select desired reports
  2. Users navigate through interactive dashboards, charts, and written analysis
  3. Insights are integrated into decision-making processes or further analysis

The reports fit into Morning Consult's broader strategy of becoming a leading provider of data intelligence and analytics. They compete with established players like Bloomberg Economics and The Economist Intelligence Unit, differentiating through rapid data collection and analysis.

Product Lifecycle Stage: Growth - The product has established market fit and is expanding its user base and feature set.

Software-specific context:

  • Platform: Web-based dashboard with API access
  • Integration points: CRM systems, data visualization tools
  • Deployment model: Cloud-based SaaS

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