Sandra Geitz shares her thoughts with us about “intuiting futures” in this blog post for our Emerging Fellows program. The views expressed are those of the author and not necessarily those of the APF or its other members.
Do you synthesise opinions and judgements to develop potential futures?
Alternatively, do you conduct wide-ranging data analysis for potential futures?
Recently I’ve been reflecting upon the various ways it is possible to source potential views about our futures. How there are multitudes of opinions and judgements that contest what are valid and plausible futures. How various sets of data are either universally relevant, hotly debated or ignored, depending on one’s interest of the specific issue studied. Is it ever possible to completely separate facts and opinion from one another?
This led to the diagram below, which is a synthesis of Sohail Inayatullah’s Causal Layered Analysis: litany, facts, values and myth, discussed in an earlier post, and Otto Scharmer’s Theory U process: downloading (judgement), open mind (analysis), open heart (connection), open will (insight).
Judging issues increasingly involves contested opinions, ranging from expert judgements to social media flaming. Analysis may include or exclude publicly and privately available data, especially as huge volumes of big-data are generated. How we view the world, our values and deep stories, shape which data we view as valid and relevant to an issue. Similarly, others with different perspectives will connect with alternate data and opinions for this issue. Hence, the preference for a depth method like Causal layered Analysis (CLA) in contested views of our futures. And, what issues are not contested nowadays…
Rarely, are judgements or analysis sufficient alone. Underlying assumptions, biases, or beliefs which can influence or determine either of these inputs remain hidden and unknown. Even, combining judgement and analysis, gives a similar shallow and limited future view.
Connecting with the people, understanding their outlook and values, generates a critical view of the input data and opinions. This illuminates what parts may have been included or excluded from final result. In this way, greater depth and breadth to potential future options may be perceived, enabling one to imagine interactions and potential responses by appreciating the values of each participant.
Developing an insight into the deep stories or myths of each participant, can provide the richest potential futures options. The effort to distil and synthesise participant’s values into succinct story headlines, appears to make them memorable. And then, quite often, after some time germinating, ruminating… combinations of these insights, and interactions form new stories, resolutions and potential futures… In this way, Causal Layered Analysis can be used as a prospective method, beyond analysis.
What are your experiences using judgement, data, values and stories for futures?
Does this compute or intuit with your experience?