Are you currently enrolled in a University? Avail Student Discount 

NextSprints
NextSprints Icon NextSprints Logo
⌘K
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Crack Meta’s PM interviews confidently

Amazon PM Interview Course

Master Amazon’s leadership principles

Apple PM Interview Course

Prepare to innovate at Apple

Google PM Interview Course

Excel in Google’s structured interviews

Microsoft PM Interview Course

Ace Microsoft’s product vision tests

1:1 PM Coaching

Get your skills tested by an expert PM

Resume Review

Narrate impactful stories via resume

Pricing
Log in

Technical Feasibility

Image of author Nextsprints Team

Nextsprints Team

Published Nov 19, 2024

Table of contents

Technical Feasibility

Technical feasibility directly impacts a product's viability and development timeline. Product managers leverage technical feasibility assessments to determine if proposed features or entire products can be built within existing technological constraints. This crucial evaluation prevents resource waste and aligns product vision with engineering capabilities, ensuring realistic roadmaps and successful launches.

Understanding Technical Feasibility

Technical feasibility involves analyzing system architecture, technology stack, and resource requirements. For example, a fintech startup might assess the feasibility of implementing blockchain technology, considering factors like processing speed (e.g., 7 transactions per second for Bitcoin vs. 1,500 for Visa). Product teams typically conduct feasibility studies over 2-4 weeks, involving architects, engineers, and subject matter experts. Industry standards often require 80% confidence in technical feasibility before green-lighting development.

Strategic Application

  • Conduct cross-functional workshops to identify potential technical roadblocks, aiming to uncover 90% of issues upfront
  • Prioritize features based on technical complexity, focusing on high-impact, low-risk items for initial releases
  • Develop contingency plans for high-risk features, allocating 15-20% additional time and resources
  • Establish clear go/no-go criteria, such as maximum acceptable API response times or minimum scalability thresholds

Industry Insights

As of 2024, 73% of product teams incorporate AI/ML feasibility assessments into their technical evaluations. The rise of low-code/no-code platforms has shifted feasibility focus towards integration capabilities and customization limits rather than core development challenges.

Related Concepts

  • [[minimum-viable-product]]: Determines the smallest set of technically feasible features for initial release
  • [[technical-debt]]: Accumulates when bypassing proper technical feasibility assessments
  • [[proof-of-concept]]: Demonstrates technical feasibility through limited implementation