Weak signals: identify and interpret

Smartphones, urbanisation, declining birth rates, the platform economy. All today’s megatrends once appeared as small statistical anomalies or fringe phenomena outside the mainstream. Recognising weak, or silent, signals not only opens new opportunities and markets, it also ensures that current business and offering remain relevant in the future.

Weak signals re events or phenomena that mark the first signs of change. The likelihood of their occurrence is low, but if they materialise the impact is significant. On the first peer-to-peer marketplaces such as eBay, individuals were already trading in the mid-1990s. Yet it took more than 12 years before mainstream platforms emerged: Airbnb and Uber were both founded in 2008. Weak signals are easiest to spot in hindsight, identifying them as they emerge is much harder.

How to find meaningful weak signals?

In a constantly changing operating environment, detecting and interpreting weak signals in business context is increasingly critical. The chances of success grow when the whole organisation is engaged in observing, sharing and analysing emerging phenomena together.

Multi-source scanning against a strategic focus

As early as 1975, Igor Ansoff introduced the idea of environmental scanning. By monitoring signals on the periphery; start-ups, scientific publications, patents and niche cultures; it’s possible to detect trends before they become mainstream. This multi-source approach is sometimes referred to as “Horizon scanning”.

Because signals are abundant, identifying those with business relevance requires a clear organisational objective against which their potential impact can be assessed. The organisation must be able to collect, identify, classify and evaluate signals. This calls for a systematic process, engaging the whole organisation in foresighting, and fostering an open culture where anomalies are welcomed with curiosity.

Classification, wild cards and black swans

Anticipatory signals are typically divided not only into strong and weak, but also rising and declining, depending on whether the amount of information increases or decreases over time. Wild cards are weak signals that materialise suddenly and unexpectedly. Black swans on the other hand, are completely unforeseen events that cannot be predicted.

Shared meaning

When interpreting weak signals, the observer always assigns their own meaning to the signal. Interpretation is also shaped by the frequency or recurrence of the phenomenon. To ensure that business-relevant signals surface, a framework is needed to guide the organisation in interpreting signals consistently with its strategy.