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SBP021: How to Balance your KPIs Part 2 of 3

Roger Knocker • January 21, 2024

SBP021: How to Balance your KPIs Part 2 of 3


When choosing KPIs for every business, team or individual, first consider who the customer is (external or internal) and what they want. 


You will typically find that the starting point is that they want a product or service and it can be summarized as follows: 


  1. Quality – they want the product or service at the level of quality they are paying for, and
  2. Timeliness – They want it on time, and
  3. Quantity – they will want sufficient of it to meet their requirements


These are the basic deliverables that virtually every deliverable must possess. 


So, when you’re choosing KPIs, try and address these 3 value drivers with matching KPIs. 


So, if you are setting KPIs for a Service Desk engineer you could start with 3 KPIs 


  1. Quality – % First-time Fixes
  2. Timeliness- % SLA met 
  3. Quantity – # Average number of calls closed per week


Here are 5 other ways you can balance your KPIs


  1. Efficiency 
  2. Effectiveness
  3. Lead and lag indicators
  4. Capabilities or Inputs
  5. Process adherence 

 


Tip 

Always ensure that you have addressed quality, timeliness and Quantity in a scorecard or dashboard before moving on



Resources mentioned in the podcast


Visit


www.kpims.co.za/kpis

Www.kpims.co.za/training

By Clerissa Holm January 13, 2025
In the rapidly evolving world of data analytics, understanding foundational techniques is only the beginning. To truly stand out, data professionals need to go beyond the basics and leverage advanced methods that transform raw data into actionable insights. Building on Roger Knocker’s top 10 tips, this article explores advanced strategies to take your data analysis skills to the next level.
By Clerissa Holm January 13, 2025
In a recent webinar, Roger Knocker, CEO of KPI Management Solutions, shared invaluable insights on extracting meaningful analysis from any data set. These strategies, honed over years of practical experience, are universally applicable—whether you're working with financial data, fitness statistics, or sales figures. Supported by research and best practices, here’s a breakdown of the 10 tips Roger presented to enhance your data analysis skills :
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