Additional relevant reads on weak signals
Interested in learning more about interpreting weak signals? Here are some useful relevant reads:
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Update nowFor years, pharma has been trying to turn data into valuable insight in an attempt to be as relevant to customers as possible.
Yet it is a capability that has been difficult to hone. With challenges ranging from how we connect the data; to how we store and manage it; to how we build the skills to translate it into actionable insight.
The answer invariably won’t lie in one big revelation, but more likely resides in the use of weak signals…
Many of us have fleeting thoughts of discovering the next best thing – think AirBnb, iPhone, Tesla.
Such highly successful products/solutions invariably came about by paying attention to weak signals. Signals that may still be a murmur on the sideline or, at first glance, may seem so insignificant. Yet combine 1 weak signal with 3,4 or 5+ more and you may have an indicator of the future [1].
“… identifying and monitoring weak signals over time is integral to getting in on new trends early. Sometimes this can be the difference between catching a new wave and leading this change or getting left behind.”
Andrew Bolwell, Chief Disrupter and Global Head of HP Tech Ventures [2]
Many of us will be familiar of the rise and demise of former video rental giant Blockbuster.
At the peak of Blockbusters success, Netflix recognised weak signals. At the time the internet wasn’t a commodity, yet they recognised an increase in access and awareness of the internet; the emergence of search engines; movement away from dial-up to broadband; the rise of ecommerce; improved infrastructure; the dot.com bubble; mobile internet [3]…the list goes on.
As a result, Netflix chose to invest heavily in developing its online streaming platform [4]. Whilst Blockbuster chose to invest in physical stores. So, when streaming became the dominant player, Blockbuster couldn’t adapt quickly enough. They filed for bankruptcy in 2010.
Listening to and recognising weak signals is no mean feat. But if pharma leaders and their teams hone this capability, they stand to gain a lot when it comes to their customers. So how to do it?
Interested in learning more about interpreting weak signals? Here are some useful relevant reads:
References
[1] Weak signals and future signs, Nik Baerten, 2016
[2] How weak signals can help you stay ahead of the next wave of innovation, Andrew Bolwell, 2022
[3] ChatGPT
[4] Beyond Hindsight and Luck: Predict Trends and Anticipate Change With Weak Signals, DigiMind, 2023
[5] Discover Weak Signals to Move Beyond Disruption, Mario Rosa, 2021