Ideas, tips, and case studies – Avoid Your Startup Failure

  • Why start-ups fail: No market need.

    Why start-ups fail: No market need.

    CB Insights  a market intelligence platform analyzed why 110 Tech Companies failed.  The second most common cause of failure was that there was no demand for the product or service.   How can you avoid spending hours and money developing your business only to find that no one, or at least not enough people, wants your Read more

  • Why start-ups fail. Don’t let a flawed business plan ruin your success story.

    Why start-ups fail. Don’t let a flawed business plan ruin your success story.

    CB Insights lists having a flawed business model as the fourth most common cause of failures for Tech start-ups. Nineteen percent of CEOs of failed companies attribute a flawed business model as a cause of their lack of success. What does a flawed business model look like? Simply put, a flawed business plan does not Read more

  • Case Study: A Date with Destiny Part 4

    Case Study: A Date with Destiny Part 4

    Why Start-ups Fail: False Starts. We learned in the previous post that the founder of Triangulate, Sunil Nagaraj identified that the root causes of the company’s downfall were his choice of initial market, online dating, and not talking to the right people. In his book Why Start-Ups Fail? Professor Tom Eisenmann provides more granularity to Read more

  • Case Study: A date with destiny Triangulate Part 3

    Case Study: A date with destiny Triangulate Part 3

    Why Start-ups fail A Founder’s Reflections: Triangulate started out with the intention of being a superior matching engine to find suitable partners in many areas of life, such as job applications or university admissions. It was premised on three basic assumptions; that the engine would deliver better matches, that users would be able to detect Read more

  • Case Study: A date with destiny – Triangulate Part 2

    Case Study: A date with destiny – Triangulate Part 2

    Why the start-up Triangulate failed to go viral. By now the metrics for the site were mixed. The user base was growing at over 40% month on month but user engagement was low, with only 27% of new users in California, the site’s target market, returning in the second week after they signed up. Also, Read more

  • Case Study: Triangulate, a date with destiny, Part 1

    Case Study: Triangulate, a date with destiny, Part 1

    Sunil Nagaraj saw a need for software that identified suitable pairings using algorithms to analyze data on the attributes and preferences of both sides in an exchange. Whether that was a date, a job offer, or a real estate transaction. His initial business concept was that he would be able to license such a matching Read more