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	<title>Eye Care &#8211; Quanta People</title>
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	<title>Eye Care &#8211; Quanta People</title>
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		<title>People Performance Analytics for a Retail Eye Care Major</title>
		<link>https://www.quantapeople.com/portfolio/people-performance-analytics-for-a-retail-eye-care-major/</link>
		
		<dc:creator><![CDATA[peoplechoice]]></dc:creator>
		<pubDate>Fri, 03 Jan 2025 10:52:40 +0000</pubDate>
				<guid isPermaLink="false">https://www.quantapeople.com/?post_type=liquid-portfolio&#038;p=8405</guid>

					<description><![CDATA[Project Details Client Eye Care Let&#8217;s Talk Background Our Client operates multiple eyewear stores across the country. There are 850+ eyewear stores of which data for 144 stores was shared. These 144 are company owned stores (the rest are franchised). Challenge Our Client stores were performing well year on year, but the company wanted to [&#8230;]]]></description>
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                <div class="lqd-pf-single-meta-part d-flex align-items-center justify-content-between"><p class="mt-0 mb-0 meta_label">Client </p><p class="mt-0 mb-0 meta_value"> Eye Care </p></div>            </div>

                        
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			<p class="ld-fh-element d-inline-block pos-rel  lqd-highlight-classic lqd-highlight-grow-left p"  > Our Client operates multiple eyewear stores across the country.
There are 850+ eyewear stores of which data for 144 stores was shared. These 144 are
company owned stores (the rest are franchised).</p>		</div>

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			<p class="ld-fh-element d-inline-block pos-rel  lqd-highlight-classic lqd-highlight-grow-left p"  > Our Client stores were performing well year on year, but the company
wanted to know whether they were leaving something behind on the table. In addition,
the eyecare brand did not have a robust metric to compare the performance of various
stores. The company only calculated the “Achievement % per month” (ratio of revenue
generated in the month to the target set for that month). However, this metric does not
account for various factors such as store size, store vintage, store location and
employee mix in the store. Also, there were issues in the target setting practice-the
targets set for the stores were not scientific and aspirational. When the achievement %
was reviewed for all stores, it was identified that the achievement % was greater than
120% in a few months and was less than 70% in other months. Aspirational target
setting would allow for achievement % to be between 90% and 110%. Any achievement
beyond this band suggests that the target is either easy or brutal.</p>		</div>

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			<h3 class="ld-fh-element d-inline-block pos-rel  elementor-heading-title lqd-highlight-classic lqd-highlight-grow-left h3"  > Solution</h3>		</div>

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			<p class="ld-fh-element d-inline-block pos-rel  lqd-highlight-classic lqd-highlight-grow-left p"  > Quanta People (QP) came up with two unique metrices- R2TCR and
CAR2TCR- to compare store performance. These metrices normalized the store variants
and got all stores on a common platform for comparison. On this scale, it was identified
that the top performing stores were achieving ~3.2x times the bottom performing stores.
Even among stores with similar vintages, the dispersion in performance was significant.
QP also identified the correlation between the performance of stores against the
employee salaries, the rate of attrition between off-roll and on-roll employees and the
extent of infant attrition among off-roll employees.</p>		</div>

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			<h3 class="ld-fh-element d-inline-block pos-rel  elementor-heading-title lqd-highlight-classic lqd-highlight-grow-left h3"  > Outcome</h3>		</div>

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			<p class="ld-fh-element d-inline-block pos-rel  lqd-highlight-classic lqd-highlight-grow-left p"  > QP developed two unique metrices which were helpful in discovering the
value that was getting left behind on the table. The real story was not in the profitable
performance year on year but in the dispersion of performance among stores. The client
also identified and acknowledged the power of performance metrics employed by QP.
Establishing the correlation between employee salary and performance of the stores,
QP uncovered that the off-roll employees were attriting at an alarming rate and the
policies for off-roll and on-roll employees were different, even though they were
performing the same activity.</p>		</div>

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			<h3 class="ld-fh-element d-inline-block pos-rel  elementor-heading-title lqd-highlight-classic lqd-highlight-grow-left h3"  > Impact</h3>		</div>

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			<p class="ld-fh-element d-inline-block pos-rel  lqd-highlight-classic lqd-highlight-grow-left p"  > The client applauded QP for the study and has agreed to execute multiple
projects with QP for target setting. In addition, the assignment opened the door for
businesses with other companies of the TATA group like Tanishq. The initial project was
POC, but the client has agreed to pay for all future consulting exercises.
</p>		</div>

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