Hosted 14th June 2019 by Phil Anderson
Hear about different methods for collecting information along with the pitfalls to avoid. Learn how to engage with your stakeholder to gather feedback and information to improve your planning.
- Understand different methods for gathering feedback
- Improve your questioning skills and start to gather honest usable feedback
- Learn how to gather feedback that make you feel good
- How to Identify Sample Bias & ensure you reduce the likelihood of bias
- The impact on your data and insight validity from Sample Bias and the potential impact to your business
- Common Sample Bias issues to look out for
Hosted on 21st April 2020 by Ian Robertson
Root cause analysis is a core skill for analysts and forecasters but is something that few of us do well. If we want to predict or shape the future it is vital that we understand the past. In this webinar we will explore:
- Why do we need root cause analysis
- How do we ensure we are asking the right questions
- Common Mistakes
- Use of technology to support root cause analysis
Before setting targets and goals it is important that these are aligned to strategies that support your organisational goals. In this module;
- Understand your organisational goals
- See how to balance your strategies
- Learn how to align the right metrics and targets to your strategies
Hosted on 30th April 2020 by Ian Robertson
How do you avoid your targets being misunderstood, misinterpreted and misused. In this module;
- Learn the different target types
- Understand tolerances & triggers
- Avoid common mistakes
Hosted on 5th May 2020 by Ian Robertson
Clear documentation and structure can help us remove single points of failure, avoid arguments, ensure a single version of the truth and avoid duplicated work. In this module;
- See how to create a data dictionary to ensure a single version of the truth
- Learn techniques to ensure metrics are used to drive the right behaviours
- Facilitate exception based reporting with agreed triggers
Hosted On 12th May 2020 By Ian Robertson
Benchmarking is important in understanding best practice, comparing ourselves with our competitors and becoming the best, but there are many pitfalls to avoid. In this module;
- Hear the value of benchmarking
- Learn how to avoid the common mistakes
- Hear our top tips for benchmarking
Following on from Descriptive Statistics Part 1. In this module we look at applying these techniques to real life scenarios, you will receive exercises to complete before we talk you through the solutions.
To innovate and be the best that we can we need to identify and exploit the best opportunities not just to improve but also to learn.
In this module we explore,
- How to find the right opportunities
- Creating time to learn and improve
- Striking the right balance between proactive & reactive insight
Description: Understand the key statistical considerations that will ensure your conclusions are well founded and can drive confidence. The separate Statistical Confidence box set is an opportunity to drive this further.
Notes: This is a new module intended as part of the Box Set How to Drive Improvement with Data & Insight but can also be an independent module