Communication of outcomes, from the strategic drivers of your business to what was produced in the last 5 minutes at a station on the factory floor, is increasingly recognised as the key to performance improvement.
Communicating the right things, to the right people, at the right time is as important as the communication itself. A communication is only successful when the meaning received is as intended, and the receiver can do something useful with the information.
Most businesses are already able to collect more data than they know how to use productively. The challenge is to pick the few that are the drivers of decisions at each level. Collecting data for the sake if it makes no sense. If it does not provide insight to decision making, why bother?
The five questions:
Who is it for?
The MD needs different information to the operations manager, whose needs are different to those on the factory floor. This cascade exists across the business, up and down the functional silos. The more the information can be made responsive and relevant to the cross functional users the better.
What is the objective?
What are the people using the data trying to achieve, and by when? Information is most useful when it charts progress towards an objective. Again, the nature of the information and the cycle will vary by level and role in the organisation.
What is the frequency?
By the minute, hour, day, month, all users have unique needs, and all information has a cycle time that makes it relevant. Typically, the higher up the organisational hierarchy, the slower the cycle time. However, making the information available to all on demand is an extraordinarily effective way of generating functional and cross functional alignment.
How do we improve performance?
Solid data is the starting point for every improvement initiative, from the smallest improvement on the factory floor to the drivers of strategic success. The scientific method prevails and requires the stability of good data on which to work.
What data is needed to answer these questions.
Data needs will evolve over time as objectives and progress toward them evolve, and is highly context sensitive.
Danger signals: there are two of them.
- Too many metrics. The dashboard should be three, up to five at a stretch, certainly no more. Data is only as good as the decisions and behaviour they drive, and the more there are, the less motivating they become. Ideally the three are: rolling current, next period, progress towards the objective.
- Vanity metrics. I see these all the time, they are easy, may look nice, but are functionally useless. The obvious example is Likes on a social media platform.
The cadence of an organisation is one of the defining factors of success. The frequency and relevance of the dashboards at every level, the way they make outcomes transparent is a key to performance improvement.
