Challenge & Selection

With So Many Insurance companies available & So many multiple Options to choose from – Buying  Insurance is a cumbersome & confusing process. Specifically, being employed – with the Employer giving  out options – handling multiple documents of Papers to read from , Whole process is a time consuming  & worst process that I have been through Once myself .

Everyone goes through the same cycle -experiencing It in the same way most of times. Sometimes its  way where the person selling the Insurance doesn’t know what the benefits are / Insurance premiums  are & Just goes forward & say this is the Best Insurance that I have to Offer

So let’s think of Situation for those people –  Specifically Small Business who can’t afford Insurance, This  is the Challenge that I went ahead with analyzing if there exists such people & Started with the  Customer discovery process as part of participating in Lean Startup Conference . So to gather this Data  /Insights & get answers to Question <What is >– we used the process called : Visual Thinking

Application

Using Visual Thinking, Tool – we went to achieve a shared understanding of a problem space among a  diverse group of stakeholders like Small Business / Unemployed before attempting to identify and  define possible solutions to the problem – Who had no insights / ideas to the Insurance buying process. I  used this approach & Stepped out into the Market to gather Statistics & Insights to answer the Question  to gather data for this Problem: What is the process generally this people (Small Business) would have  with their Health Insurance buying Options

Based on the Interview /Insights in studying this potential Customer – I came to know & understand that  the People that sold them Insurance – did not know much details of the potential benefits their  Insurance had to offer , Leave alone that – One /two persons that I spoke with – didn’t know if their  insurance would cover critical conditions like : Diabetes / Cancer – Since there is no  instant way to know  the plan/coverage rather than digging through each page of the data document that the Insurance plan  provides .

Insight & Approach

What I have learned from conducting this exercise with several groups of Small Business People – that I  stepped out to discover & validate the existing problem these People face – was that it was a actual  problem / need for many people that most people weren’t sure that the Insurance that they have   bought /chose is actually the right & best one . Many of these People weren’t even that they had been  given the Right Insurance option that they Chose . This reinforced  their understanding of the problem  that we were working  to solve as part of the Participating through lean Startup conference . Using this  Data / Insights – we captured about 10 Such Small Businesses that had these problem & Validated the  HYPOTHESIS that we assumed in building the Pivot for the Startup that I was working on – along with my  Team – was an Insurance Finder Match engine ( called Health Match ) that would dig through Multiple

documents of Data & provide the Results in a Simple Graphic Interface of the Best insurance match for  them ./anyone . This Single graphic /Visual Representation would assist /Simplify the Insurance buying  process instead of digging through Tons of data . Persons can quickly identify where they are in the  graphic – or if they are missing – and can more quickly gain new insights about relationships between  key entities instead of taking time to identify them. They can also identify variables in the problem space  – that is, it helps them to identify what they don’t know, in what areas they need to obtain information  or data to provide the values for the variables. Since I discovered that the most valuable aspect is the  shared insights and learning, next time I  used the visualization activity captured through as a starting  point for a series of design thinking activities. Then the revised graphic that incorporates their combined  feedback for this Insurance Match Search Engine

