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Product Management Metrics Question: Measuring success of agricultural advisory services
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Nextsprints

Updated Jan 22, 2025

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Asked at DeHaat

12 mins

How would you measure the success of DeHaat's crop advisory services?

Product Success Metrics Medium Member-only
Metric Definition Stakeholder Analysis Data-Driven Decision Making Agriculture Technology Rural Development
User Retention Product Metrics AgTech Rural Development Impact Measurement

Introduction

Measuring the success of DeHaat's crop advisory services requires a comprehensive approach that considers multiple stakeholders and the unique challenges of the agricultural sector. To effectively evaluate this product, 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

DeHaat's crop advisory services are a digital platform that provides farmers with personalized agricultural advice, aiming to improve crop yields and farmer incomes. Key stakeholders include:

  1. Farmers: Seeking to maximize yields and profits
  2. DeHaat: Aiming to grow its user base and revenue
  3. Agricultural experts: Providing advice through the platform
  4. Government agencies: Interested in food security and rural development

User flow:

  1. Farmer signs up and inputs farm details
  2. System analyzes data and generates recommendations
  3. Farmer receives personalized advice on crop selection, pest management, etc.
  4. Farmer implements recommendations and tracks results
  5. Feedback loop for continuous improvement

This service aligns with DeHaat's broader strategy of digitizing the agricultural value chain in India. Compared to competitors like AgroStar or Plantix, DeHaat offers a more comprehensive suite of services beyond just advisory.

Product Lifecycle Stage: Growth phase - the product has proven its value but is still expanding its user base and refining its offerings.

Software-specific context:

  • Platform: Mobile-first application with web support
  • Integration points: Weather APIs, soil testing labs, satellite imagery
  • Deployment model: Cloud-based with offline capabilities for rural areas

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