6 Keys To Predicting The Performance Of Your Business
Every business owner and entrepreneur like you I work with wishes they could better predict product demand and sales, for managing inventory and long-term business planning. We all have our favorite metric and our passion, but keeping up with real-world changes and trends seems to be always just out of reach. The issues are people oriented, and require trust and teamwork .
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I was impressed with the analysis and recommendation offered in a recent book, “Trust the Plan: Demand Management For Business Leaders, ” by Greg Spira. Greg brings a wealth of experience based on his work with a wide range of industries, including packaging, chemicals, healthcare, and fashion. He is an expert on the people issues, and well as the process for predicting demand.
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In my experience, these people and process issues are much the same for all business metrics, including sales and customer service, as well as planning for the future demand of your product or service offering. I am pleased to paraphrase here his top six recommendations for measuring and predicting future performance, with my own insights added:
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In my experience, all business metrics are still used too often for people management and accountability, rather than business management. The key performance indicators (KPIs) that I recommend all relate directly to business and not personal performance.
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Key strategic factors for every business should include profits, growth, and competition. The data for these should come from internal data analytics , and be compared to industry averages compiled by third-party analysts, published by many industry organizations.
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If you want trusted measurements and leadership, it's also crucial that you put the practice of transparency on the highest pedestal. Demonstrating transparency means sharing data and sources, the state of the union, and why you have made each decision.
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In my view, every demand plan, even without any bias, will still have errors, and those errors will be impossible to predict by downstream users simply based on past results. Thus, there is no better option than to simply make decisions and rely on the plan as it is.
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Most statisticians agree that for a good measurement system, the accuracy error should be within 5% and precision error should within 10%. But deciding what is accurate enough for your business must tie back to your own assessment of cost/benefit trade-offs
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With these priorities, I’m convinced that most of you can improve your overall planning process and business metrics to be more relevant and lead to greater accuracy and confidence in future results. The challenge for most of us as leaders is to spend more quality time working on the business, rather than in the business, to keep up with changes to assure long-term success.
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*** First published on Inc.com on 08/02/2023 ***
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Project Management, Product, Operations l Previously: IFTTT, GoodEggs
11 个月I always appreciate your posts, Mr. Zwilling.