GUIDANCE FOR FILLING GAPS
IN STEP-MES MATRIX ARRAYS
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11 In our book, Investigating Accidents with STEP, we called this procedure BackSTEP. BackSTEP is a horizontally displayed, bounded logic tree type structure, initially composed of hypothesized of data BBs. BackSTEP procedures are contained in this Guide. A BackSTEP tree is on its side to be congruent with the STEP-MES matrix array.
During the development of STEP-MES-based matrix arrays, unlinked BBs indicate a gap in the flow of the actions that produced the outcome that investigators need to fill or explain. Gaps define data still needed to complete the investigation. Investigators can fill these gaps by adding new input data BBs from continuing observations of available sources, but when that option is exhausted, another option is needed. That option is to generate hypothesized scenarios and data BBs. Hypothesized scenarios can be developed using BackSTEP bounded logic trees.. BackSTEP displays of scenarios composed of hypothesized data BBs help investigators find plausible scenarios and data BBs, and by systemizing their development, disciplining investigator's speculations. BackSTEP(s) displays also provide a way to enlist the knowledge and experiences of experts or others familiar with the people or system behaviors or equipment or facilities to help develop hypothetical scenarios in an efficient, focused, intellectually challenging and rewarding procedure.
The hypothesized scenarios displayed on BackSTEP trees then point investigators to data needed to verify or discard each proposed BB in the hypothesized scenario. When the BBs in a hypothesized BackSTEP scenario are verified with data from additional observations, simulations or other means, they can be considered a feasible "array gap filler" and the BBs integrated directly into the STEP-MES matrix array, efficiently and quickly. If no senario can be confirmed, the effort expended to develop the BackSTEP tree can demonstrate a "best efforts" attempt to resolve uncertainties. Additionally, the work will prepare the investigator to deal with the "second guessers" and "experienced experts" who always seem to be around to challenge investigator's work products.
The objective of this Guide is to provide investigators with a disciplined investigator hypothesis generation and validation procedure for filiing gaps in their understanding of episodes, as represented by unlinked BBs in STEP-MES-based matrix arrays.
Most investigators find themselves with aspects of an episode that they don't yet understand (unknowns) at some times during an investigation. Some methods like STEP-MES reveal those unknowns and also, sometimes, unknown unknowns (unk-unks) to investigators. The unknowns are revealed as gaps in linked STEP-MES data BB arrays. BackSTEP trees can be used to resolve unknowns during investigations by developing hypothesized scenarios and validating their BBs for integration into the matrix array to complete it. BackSTEP tree scenarios requie further data acquisition or testing, to determine the most verifiable BB gap-filling scenarios during a specific episode.
Logic trees are sometime used to organize speculations to describe gaps in understanding episodes. Logic trees are displays of converging events linked with cause-effect arrows and logic "gates" to show the flows of different events that will produce the "top event." Logic trees have various "stop rules" for bottom events on the tree. As a general rule, conventional deductively reasoned logic trees do not lend themselves well to the disciplined display of scenarios during an investigation. Their greatest value is in structuring the results of the search for different ways something can happen. They lacak the ability to represent the timing relationships among a tree's converging events, and lack of consensus for criteria for their "event" building block content. "Event time lines" are aso used in investigations. Event time lines are event lists sorted by their timing; they do not show coupled interactions among the various kids of data items used on the lists.
Additionally, BBs usually can not be recast adequately into the "fault tree" logic structure, required for a conventional logic trees, without introducing undesired biases into an investigation. Logic trees deal with one top event, as does BackSTEP, but the matrix array defines all "top events" and "bottom events" for BackSTEP tree type scrutiny. Finally, except for STEP-MES-based matrices, the relative timing of BBs can not be displayed efficiently in conventional logic trees. See for an illustration of the difference between STEP-MES-Tree and Fault Tree approach to matrix array gaps.
BackSTEP trees in general provide a structured way to organize speculations about possible BBs to fill each specific gap in a STEP-MES matrix array. The difference between a BackSTEP used during an investigation, and a conventional logic tree is the horizontal tree configuration, the "bottom event" limiting the tree is specified, and the actor/action format for all entries in the blocks constituting the BackSTEP tree.
DATA REQUIREDData required to produce BackSTEP trees includes:
DATA SOURCES
DATA PRESENTATIONFor investigations, a modified logic tree format is used to display hypotheses on a BackSTEP tree The BB on the left of the gap on the array becomes an anchor BB on the left end of the Tree, and the BB on the right of the gap) becomes the anchor on the right end of the tree. Typically, the flow of the BBs in a BackSTEP tree diverge from the left BB toward the center, and then converge again from the center toward the right BB. STEP-MES -TREE DEVELOPMENT PROCEDUREPOST-IT notes can be used to record the hypothesized BBs to create a hypothetical scenario. Erasures and correction of entries are encouraged until the tree defines BBs to fill the gap. All BBs on a BackSTEP tree should be in the same "actor/action" format as used in STEP-MES-based matrix arrays. The tree development procedure follows.
CONFIRMING BackSTEP TREESWhen hypothesized scenarios are completed and checked, investigation's are ready to use it to identify and confirm the most likely BB scenario.
As an intermediate quality assurance step, check the logic against other BBs on the Matrix after the new BBs have been added. If no contradictory evidence or illogical, non-sequential relationships can be identified, you have probably done as much as can reasonably be expected to fill the gap in your understanding of the occurrence. QUALITY CONTROLBackSTEP-Tree quality control is exercised during the development process by insisting on the use of BB development quality controls and on the use of linked BBs as the tree develops. The final QC check occurs after the placement of the most likely scenario on the Matrix, and the subsequent QC testing of the Matrix in the area of the former gap. COMMENTSThe BackSTEP tree should be viewed at first only as a "best guess" about what happened. It should not be relied on as the most likely scenario without substantiating data or testing. While the method will indicate the most likely scenario for that portion of the episode, the most rigorous validating method is the STEP-MES Matrix. Proposed actions based on these speculations should not be given great credence without further verification, using the STEP-MES Matrix. Possible exceptions: where no other information can be obtained or data didn't survive the episode.
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