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5 principles for taking action in the face of uncertainty

Etienne Minvielle
Etienne Minvielle
Director of the Centre de Recherche en Gestion at Ecole Polytechnique (IP Paris)
Hervé DUMEZ
Hervé Dumez
CNRS Research Director and Professor at Ecole Polytechnique (IP Paris)
Key takeaways
  • Faced with the unknown, organisations are forced to make decisions without reference to prior knowledge.
  • Management of such is based on pragmatic rationality based on five principles, including taking practical action and rapidly assessing its effectiveness.
  • During the COVID-19 crisis, for example, the method used consisted of testing hypotheses in the field, updating them as the first results became apparent.
  • By agreeing to take part in large-scale collective surveys, stakeholders must also develop an attitude of humility and caution in the face of simplistic assertions.
  • These principles form a specific management style within organisations known as High-Pragmatic-Organisation (HPO).

While there are known prin­ciples for mana­ging situa­tions of rela­tive uncer­tain­ty, it is less clear how to deal with situa­tions of great uncer­tain­ty, i.e. where the unk­nown rei­gns supreme. In these rare cases, there is no lon­ger any refe­rence to exis­ting know­ledge (these are known as ‘unk­nown unk­nown’ situa­tions, as oppo­sed to ‘known unk­nown’ situa­tions where there is an exis­ting refe­rence). In such cases, mana­ge­ment requires rules to those alrea­dy used in the past.

The first wave of the COVID-19 cri­sis was an exem­pla­ry case of this type of situa­tion1. During this per­iod, it was impos­sible to refer to a past event. Dub­bed the ‘flu bug’ for a short time, the high mor­ta­li­ty rates obser­ved qui­ck­ly contra­dic­ted this asser­tion. What’s more, hos­pi­tal stays in inten­sive care were much lon­ger than those usual­ly obser­ved for other infec­tious res­pi­ra­to­ry viruses, and loss of smell was a pre­vious­ly unk­nown symp­tom. There were innu­me­rable ‘sur­prises’, making any rea­so­ning by refe­rence to exis­ting know­ledge tricky.

In res­ponse, orga­ni­sa­tions grap­pled their way through the pro­cess and made, often rushed, deci­sions. Some consi­de­red that these actions were based on intui­tion and flair. Howe­ver, on clo­ser ins­pec­tion, they reveal a cer­tain form of mana­ge­ment. This is shown by a stu­dy based on inter­views with more than 120 players in the French hos­pi­tal sys­tem, publi­shed recent­ly in the Euro­pean Mana­ge­ment Review2.

The mana­ge­ment in ques­tion is based on a ratio­na­li­ty that is nei­ther Car­te­sian nor close to the concept of High-Relia­bi­li­ty-Orga­ni­sa­tion (HRO), which is often used in uncer­tain situa­tions. Rather, it is a prag­ma­tic ratio­na­li­ty, which consists of conduc­ting a col­lec­tive inves­ti­ga­tion to test hypo­theses in the field. Five prin­ciples emerge, reflec­ting the abi­li­ty of French hos­pi­tal players to demons­trate rea­lism in the face of the unknown.

#1 Undertake practical actions as part of a survey 

This first prin­ciple encou­rages us to desi­gn actions without wai­ting for per­fect infor­ma­tion. The actions envi­sa­ged at this stage represent hypo­theses. They are deri­ved from the ini­tial results of the sur­vey, which selects them on the basis of the fol­lo­wing methods : (i) lear­ning from unu­sual events that can be obser­ved in the field (ano­ma­lies such as the abnor­mal­ly long dura­tion of stays in inten­sive care for patients with COVID-19, which is sur­pri­sing given our know­ledge of the effects of infec­tious viruses of the res­pi­ra­to­ry sys­tem); (ii) conso­li­da­ting the relia­bi­li­ty of the infor­ma­tion gathe­red by tri­an­gu­la­ting dif­ferent sources or by asses­sing the pro­file of the issuer of the alert (what some people call ‘epis­te­mic vigi­lance’); (iii) and when the hypo­theses are contra­dic­to­ry, to orga­nise debates bet­ween the various sta­ke­hol­ders in order to reach a col­lec­tive deci­sion (as in the case of the recep­tion of the Chi­nese curves on the inci­dence of the pan­de­mic, which led to seve­ral medi­cal spe­cia­lists and epi­de­mio­lo­gists being brought toge­ther to com­pare their points of view). In this acti­vi­ty, any model­ling effort is also use­ful, but it is not suf­fi­cient alone, because it can nei­ther pro­vide reliable context (the rela­tion­ship bet­ween natio­nal pro­jec­tions and a local situa­tion), nor pro­vide a suf­fi­cient­ly consistent pre­dic­tion, due to a varie­ty of new cri­te­ria that dis­rupt the ‘model’.

#2 Test the hypothesis in the field, ensuring rapid feedback of findings

This prin­ciple requires the hypo­the­sis to be tes­ted in the field, which is the only way to judge its rele­vance. Such recourse to the field takes place des­pite the sur­roun­ding igno­rance, and condi­tions for action that are rare­ly opti­mal. The objec­tives are gui­ded by a search for evi­dence and lear­ning, while the imple­men­ta­tion consists of cir­cum­scri­bing the test in various small stages, each of which is fol­lo­wed by a rapid return. This incre­men­tal approach opti­mises the assess­ment of the rele­vance of the action, was­ting as lit­tle time as pos­sible and avoi­ding obvious errors. One example at the start of the COVID-19 cri­sis was the prio­ri­ty actions taken in the health hos­pi­tal sec­tor (limi­ting patient visits to hos­pi­tal, set­ting up qua­ran­tine mea­sures, staff pro­tec­tion pro­ce­dures, increa­sing the num­ber of inten­sive care beds, to name but the main ones).These mea­sures qui­ck­ly pro­ved their worth. At the same time, they revea­led the weak­ness of actions taken in EPHAD esta­blish­ments, where many elder­ly and vul­ne­rable patients were expo­sed to the risk of the virus. This obser­va­tion led to the rapid exten­sion and rein­for­ce­ment of actions in this sec­tor, as recom­men­ded in the fol­lo­wing principle.

#3 Revisit initial hypotheses through collective deliberation

This prin­ciple ensures that orga­ni­sa­tions trans­late the results of field tests appro­pria­te­ly, adap­ting their actions if neces­sa­ry. Depen­ding on the feed­back and the col­lec­tive deli­be­ra­tion that fol­lows, the players main­tain the ini­tial hypo­the­sis or modi­fy or even refor­mu­late it. The mul­ti­dis­ci­pli­na­ry nature of the col­lec­tive deli­be­ra­tions and the open-min­ded­ness of the par­ti­ci­pants are essen­tial cri­te­ria in this revi­sion. The more the deli­be­ra­tion involves a varie­ty of expert view­points, the more like­ly it is that the update will be rele­vant.  Simi­lar­ly, the more the atti­tudes expres­sed accept the conclu­sions of the deli­be­ra­tion, the more like­ly it is that the cho­sen hypo­the­sis will be adopted.

This third prin­ciple concludes an ove­rall approach. Com­pri­sing of three stages : (i) defi­ni­tion of a hypo­the­sis ; (ii) field tes­ting ; (iii) upda­ting of the hypo­the­sis on the basis of the results, it is cha­rac­te­ris­tic of an abduc­tion method. We start with a hypo­the­sis, check its rele­vance by glea­ning obser­vable facts, and then deduce whe­ther it should be main­tai­ned or repla­ced by ano­ther. This approach is even more like­ly to be effec­tive if the inves­ti­ga­tion is car­ried out col­lec­ti­ve­ly in order to cap­ture as many clues as pos­sible. It is also lar­ge­ly dependent on the atti­tudes of the mem­bers invol­ved, as the fol­lo­wing prin­ciple makes clear. 

#4 Develop an attitude of fallibilism and anti-dualism

Accor­ding to this prin­ciple, players are encou­ra­ged to express their doubts and to show humi­li­ty (fal­li­bi­lism), because the know­ledge they have acqui­red is extre­me­ly fra­gile, sub­ject to the appea­rance of new obser­vable facts. Simi­lar­ly, they are urged to avoid sim­pli­fi­ca­tion by dicho­to­mies bet­ween yes and no (dua­list posi­tions), as these gene­ral­ly reduce the abi­li­ty to select and inter­pret clues. Without these two atti­tudes, there is a high risk of making erro­neous deci­sions and giving them too much weight.

An example of the impor­tance of this prin­ciple was the debate on hydroxy­chlo­ro­quine as a treat­ment for the virus. The fact that the hypo­the­sis of such a treat­ment was put for­ward was not in itself sho­cking. It was even jus­ti­fied in the light of what was known about the sub­ject. On the other hand, the fai­lure to ques­tion it when the trials car­ried out had not pro­du­ced convin­cing results is evi­dence of an over­ly asser­tive, dua­lis­tic posi­tion in favour of the ‘yes’ option. 

In this quest for appro­priate atti­tudes, the envi­ron­ment out­side the players invol­ved in the sur­vey plays an impor­tant role, like­ly to trig­ger harm­ful pressures.

#5 Protecting expertise from external pressures

Unk­nown situa­tions must be mana­ged by those who have the most pre­cise know­ledge of the event. In par­ti­cu­lar, if those on the ground have the exper­tise that is being built up (which is often the case), they must be given prio­ri­ty in the actions to be taken. One conse­quence of this is that they need to be pro­tec­ted from exter­nal pres­sures out­side the scope of the inves­ti­ga­tion. The lat­ter can in fact ham­per the effort under­ta­ken. The COVID-19 cri­sis high­ligh­ted two such pressures :

  1. Ins­ti­tu­tio­nal pres­sure, which may have cal­led into ques­tion local actions in the name of giving prio­ri­ty to deci­sions from higher hie­rar­chi­cal levels, even though these are irre­le­vant in terms of their res­pec­tive expertise.
  2. Pres­sure from the media, which may have stee­red debates towards confron­ta­tions devoid of nuance, because of the forms of expres­sion impo­sed. Once again, the debate on hydroxy­chlo­ro­quine is a good example : the exchanges on TV often tur­ned into cari­ca­tu­red oppo­si­tions bet­ween the for and against, locking the players into posi­tions of defen­ding a point of view, far remo­ved from the atti­tudes of fal­li­bi­li­ty and anti-dua­lism that are neces­sa­ry, but also dama­ging. As a result, people wor­king in the field have found them­selves faced with patients who want to under­go treat­ment at all costs, even though there is no evi­dence to sug­gest otherwise. 

Unk­nown situa­tions must be mana­ged by those who have the most pre­cise know­ledge of the event. 

The pre­ven­tive mea­sures against these exter­nal pres­sures are to be found at the level of col­lec­tive deli­be­ra­tions orga­ni­sed by the players hol­ding the exper­tise. They need to be cau­tious about making over­ly sim­plis­tic sta­te­ments about the envi­ron­ment. They must also pro­tect them­selves from pres­sure by uni­ting col­lec­ti­ve­ly. Howe­ver, this orga­ni­sed pro­tec­tion must not cut off the exper­tise from infor­ma­tion pro­du­ced elsew­here. The prin­ciple of col­lec­tive inves­ti­ga­tion means that clues can be glea­ned. They must the­re­fore strike a care­ful balance bet­ween pro­tec­tion and selec­tion of sur­roun­ding information. 

A ”High-Pragmatic-Organisation” to manage the unknown ?

The five prin­ciples are ins­pi­red by the theo­re­ti­cal approaches of prag­ma­tism, a North Ame­ri­can school of thought from the ear­ly 20th Cen­tu­ry. Taken toge­ther, they form a spe­ci­fic form of mana­ge­ment at hos­pi­tal level, known as High-Prag­ma­tic-Orga­ni­sa­tion (HPO), in refe­rence to this school of thought. An HPO orga­nises col­lec­tive sur­veys, engages in abduc­tion pro­cesses, relies on players whose atti­tudes culti­vate doubt and humi­li­ty, and pro­tects itself from exter­nal pres­sure34. By acting in this way, French hos­pi­tal sta­ke­hol­ders have shown that hos­pi­tals can ope­rate accor­ding to their own prin­ciples to face up to the unknown.

This new concep­tual term also alludes to ano­ther concept, that of High-Relia­bi­li­ty-Orga­ni­sa­tion (HRO), which is often used to express the mana­ge­ment requi­red in situa­tions of uncer­tain­ty5. An HRO is an orga­ni­sa­tion capable of dea­ling with cri­sis situa­tions where uncer­tain­ty rei­gns, by applying dif­ferent prin­ciples (a hos­pi­tal, but also a nuclear power plant or a sys­tem for orga­ni­sing air flights, can thus be assi­mi­la­ted to HROs in the event of a crisis).

Without going into detail, the pro­po­sed prin­ciples dif­fer from those just des­cri­bed on one essen­tial point : the absence of a refe­rence, and the­re­fore of the pos­si­bi­li­ty of expres­sing relia­bi­li­ty. As a remin­der, relia­bi­li­ty aims to mini­mise devia­tions from a nor­mal state that sets per­for­mance stan­dards6. It refers to anti­ci­pa­tion by trig­ge­ring pre­ven­tive actions7. With HROs, nuclear power plant control ope­ra­tors can, for example, shut down reac­tors if they think that ope­ra­tions have ente­red these zones. Simi­lar­ly, aero­plane pilots can refuse to fly if they think the equip­ment or wea­ther condi­tions are dangerous.

Howe­ver, when the players are faced with the unk­nown, this rea­so­ning is inope­ra­tive, because the very pur­pose of action is to define what these stan­dards are, and by deduc­tion the prin­ciples of pre­ven­tion. For example, when a remote moni­to­ring sys­tem was set up for patients with mild forms of COVID-19, the ini­tial feed­back sho­wed just how rele­vant the sys­tem was. Pre­vious­ly, mana­gers had admit­ted these patients without rea­li­sing that they were occu­pying beds unne­ces­sa­ri­ly and increa­sing the risk of the virus sprea­ding. The pre­ven­tive nature of the action could only be jud­ged fol­lo­wing the empi­ri­cal test.

Final­ly, it can be said that although the prin­ciples of ORH mana­ge­ment can be found, the absence of a refe­rence to nor­ma­li­ty limits the appli­ca­tion of the concept in the event of an unk­nown situa­tion. In these situa­tions, the refe­rence is not deter­mi­ned in advance but is construc­ted a pos­te­rio­ri. For this rea­son, the concept of HPO, and its five prin­ciples, seems more appro­priate to deal with them.

1Van Damme, W., R. Dahake, A. Dela­mou, B. Ingel­been, E. Wou­ters, G. Van­ham, … and Y. Asse­fa, 2020. “The COVID-19 pan­de­mic : diverse contexts ; dif­ferent epidemics—how and why?”. BMJ Glo­bal Health, 5(7), e003098. doi :10.1136/bmjgh-2020–003098.
2https://​onli​ne​li​bra​ry​.wiley​.com/​d​o​i​/​f​u​l​l​/​1​0​.​1​1​1​1​/​e​m​r​e​.​12665
3Peirce, C. S., 1992b. Rea­so­ning and the logic of things : The Cam­bridge confe­rences lec­tures of 1898. Cam­bridge, MA : Har­vard Uni­ver­si­ty Press.
4Dewey, J., 1938. Logic, the theo­ry of inqui­ry. New York : H. Holt and com­pa­ny.
5Weick, K. E. and K. M. Sut­cliffe, 2001. Mana­ging the unex­pec­ted (vol. 9). San Fran­cis­co : Jos­sey-Bass.
6Roberts, K. H., 1990. “Some Cha­rac­te­ris­tics of One Type of High Relia­bi­li­ty Orga­ni­za­tion”. Orga­ni­za­tion Science, 1(2): 160–176. doi :10.1287/orsc.1.2.160.
7Roe, E. and P. R. Schul­man, 2008. High-relia­bi­li­ty mana­ge­ment : Ope­ra­ting on the edge. Palo Alto, CA : Stan­ford Uni­ver­si­ty Press.

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