Page 27 - The 20 Most Promising CEOs in Business Industry 2019
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effective and outcomes that are actionable. As long    masters of the past”. There has been a tremendous
        as we continue to do it competition should not be an   change happening in almost every domain.
        issue                                                  Business Models are changing. To name a few

        Inspiration for FIT (Focused Integrated Talent)        (Source: Whatsapp, unknown)
        In the past, careers were Stable, linear and singular.   1) Car sales are going down... *but Ola / Uber is
        People chose one path and pursued it over the course   growing.
        of their lives from college to retirement. In our modern   2)  Restaurants are going empty... *but home delivery
        age of technology change, this model no longer works.   is rising
        Careers are now complex, fragmented, specialized,
        collaborative and ever evolving. More often than not,   3) Stable Jobs are dwindling *but “Start-up” jobs
        our work life will be made up of a portfolio of micro-  offering equity & Flexi work time are expanding. In
        careers. This basically means that it has now become   short there is a huge objectivity required for hiring
        EXTREMELY important to understand the strengths        correct talent in these changing times.
        of each person so that he/she can develop themselves   The acceptance and utilization for Talent Assessments
        in areas and careers related to the strengths zone. Due   have gone up by 200% over the past few years.
        to our ability to measure Talent from age 4 to 60, we   Key features that make FIT Innovations better
        have the Cradle to Campus solution.

        Also, objectively, hiring the RIGHT Talent has always   Every product and service has gone through the
        been a challenge. Let me illustrate with an example.    process of Design Thinking. We have consistently
        I remember a recruitment cycle for a Japanese client,   applied empathy to problem solving, matching the
        where we had to hire 120 consultants. It forced us     things people need with technologically feasible
        to go through 4500 resumes, 3000 on-call micro         and viable solutions available today. Empathy helps
        interviews, 400 on-site face to face interviews, 200   us understand what it’s like to be in someone else’s
        job offers and finally getting 120 people to join. It was   shoes, in order to create customer-centric products
        a painful, time-consuming, expensive and frustrating   and solutions to meet specific customer needs. As a
        process and not at all scientific or objective. t was left   framework for product development, design thinking
        to Human intervention and judgement.                   is a human-centered, interactive learning process that
                                                               focuses on customers as people with defined needs,
        Human Judgement is based on backgrounds,               and works backward to a technology solution. This has
        experience, education, cultures and belief systems.    provided a level of clarity on business objectives and
        An objective scoring methodology cuts through such     a deeper understanding of the way our products are
        biases to give a measured data point.                  valued in the marketplace.
        Future Plans                                           We can now release products more often, gather

        We have started focusing on relevant Metadata and      meaningful customer feedback and validate a
        on a move towards ML and AI. With data gathered        product’s use and vision in the marketplace, while
        from lakhs of students and thousands of corporate      sustaining a high level of customer satisfaction, as one
        employees. We have done more than 850,000              release builds on another to add features customers
        evaluations. There is rich data that could assist us in   desire most.
        reducing human interaction, increasing predictable     One more key feature is the solid Psychological
        patterns and driving towards a zero error outcome. We   team which consists of very
        are now moving from Data to Analytics to AI, from      senior psychologists with global
        Descriptive to Diagnostic to Predictive Analytics and   experience spanning 20+ yrs
        finally towards Prescriptive Outcomes                  across 30+ countries. It’s almost
        Industry Outlook                                       impossible to get such a team
        The industry is experiencing a transition phase,       which is deeply involved with day
                                                               \-to-day research, ongoing quality
        and any transition is painful for the “well set”, “the   management and IP creation.



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