Why Early-Stage Software Startups Fail: A Behavioral Framework

TL;DR

This paper investigates why early-stage software startups often fail by examining the mismatch between managerial strategies and execution, highlighting the importance of aligning learning processes with product development to improve success rates.

Contribution

It introduces a behavioral framework explaining startup failure due to strategic-execution inconsistency, based on literature review and multiple-case studies.

Findings

Inconsistency between strategies and execution leads to failure.

Startups prioritize rapid product launch over learning processes.

Understanding problem/solution fit is crucial for success.

Abstract

Software startups are newly created companies with little operating history and oriented towards producing cutting-edge products. As their time and resources are extremely scarce, and one failed project can put them out of business, startups need effective practices to face with those unique challenges. However, only few scientific studies attempt to address characteristics of failure, especially during the early- stage. With this study we aim to raise our understanding of the failure of early-stage software startup companies. This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach. The results present how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework. Despite strategies reveal the first need to understand the problem/solution fit, actual executions prioritize the development of the product to launch on the market as quickly as possible to verify product/market fit, neglecting the necessary learning process.