Picture this: You’re stuck in traffic, late for your engagement, anxiously staring at the Google Maps app on your phone – and the app is flooding you with copious amounts of information about how you got this far – average speed, number of turns, number of traffic lights, when you reached each intersection and when you were supposed to have reached each intersection… while the only question on your mind is – “Just tell me when I’ll get there and is there a faster way to get there from here on”.
So, how often have you been in “review” meetings where you’re being shown slides and slides of updates on what has happened so far? Project “status”, “Year to Date” financials, “Month to Date” production, “Orders booked in the last quarter”, “Attrition in the last month”, “Highlights and Lowlights” (or even better, “Key accomplishments”), and so on. And when it comes to how one might make up lost time to meet targets, the answer often is “we need to really stretch and focus on this during the remainder of the period”. This, of course, is like Google Maps telling you to “drive faster” to reach your destination on time. Needless to say, 90 minutes and 60 slides later, everyone walks out of the forum with varying levels of excitement and clarity about the future.
“Our job is to manage the future, not report the past”, is a principle that I learned from one of the most effective leaders I worked with. Based on this principle, one of the most important family of processes I would seek to design and implement in any organization is the “LE” or “Latest Estimate” process. In the Google Maps example, these processes help project the “ETA” or “Expected Time of Arrival”, point out upcoming traffic delays, and suggest “alternate routes” to get to the destination faster, where possible.
There are several other areas such as sales pipeline tracking, capacity expansion projects, etc where preview processes are essential to help take action early enough to meet targets.
The need to move from analyzing the past to projecting the future may look obvious, but making this switch is easier said than done. This not only requires data systems and management processes to be put in place but also changing communication, mindsets and culture at multiple levels.
A start can be made by simply communicating the preview information (“ETA”) across team members across all functions and levels who are involved in each effort. This sets a common future target that everyone can work towards, and a common basis for decision making across the board.
Leaders then need to understand which of their team members are optimistic (i.e. those that overpromise) and which are conservative (i.e. those that under promise), to apply the necessary “correction factors” to the forecasts they project, and work with them to get to more realistic projections over time. Towards this, optimistic team members need to be coached to face and share bad news sooner rather than later. The conservative ones need to be encouraged to give up their “back pocket buffers” by giving them comfort that they will not be penalized for missing their forecasts in the end.
For the success of previews, it is critical to avoid rearview mirror questions such as “Why did this not happen”, or “why didn’t you think of this earlier”. Such questions tend to bring back team members natural tendencies of being overly optimistic or conservative to avoid uncomfortable discussions. One may however, in a non-accusatory setting, provide space to vent for frustrations and then ask what we would do next time to avoid a forecast miss.
Last but not least, previews are most effective when every governance process, right down to the daily morning shopfloor stand-up meeting, is designed as a preview and not a review.
All of this is not to say that reviews are not relevant. There are several uses of conducting reviews, some of which are:
An important point to note in all the above applications is that in contrast with previews that are most effective when conducted every day, it is sufficient for reviews to be conducted from time to time.
Organizations stand to gain a lot by shifting their focus from 80% reviews / 20% previews to 80% previews / 20% reviews. Making the shift, however, requires discipline and diligence from the top down. Perhaps the biggest shift that is required is to make teams feel safe when their forecasts go wrong, because, let’s face it, pretty much all forecasts are wrong at least by a little bit. However, when previews are done well, they help improve success rates of meeting targets.
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