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The key to quickly unblocking decision-making

Unlock quick decision-making by evaluating what you know, what you don't know, and, based on those things, hypotheses you can make.
September 04, 2024

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When facing uncertain paths in leadership, it can be easy to be swept away by overthinking or cyclical, unproductive conversations. Discerning between what is known, unknown, and what hypotheses you want to test as a result can help.

Have you ever been in a meeting where the discussion is going and going, but the group can’t seem to make a decision on what to do next? Or have you been in a 1:1 where a report talks in circles about a problem they’re experiencing without making forward progress? These scenarios are commonplace in the working world, but can be transformed into more productive conversations by introducing the facilitation technique of knowns, unknowns, and hypotheses (KUH). 

What is KUH? 

As leaders, one of the ways we provide value is by supplying clarity where none exists. While we may not know all the answers, we can effectively coach individuals and groups from a point of uncertainty to clear the next steps. 

We can bring these clarifying shifts to conversations using the KUH structure. Much like the name suggests, KUH asks three questions:

  1. What do we know?
  2. What do we not know?
  3. Based on that information, what hypotheses can we make?

When discussing a problem, most people’s contributions to a conversation naturally fall into these three categories, but it can be meandering and difficult to follow. KUH is a schema that explicitly categorizes each thought and conversational contribution, clarifying an individual’s thinking and creating quick dissemination of knowledge within a group.

Step 1: Use tools to unlock faster decision-making

Use a tool of your choice to create a three-column table, as seen below: 

Step 2: Plot your knowns and your unknowns 

Ask the individual or group struggling to make a decision, “What do we know and what do we not know?” 

Knowns are verifiable facts. These are things like describing how a system works, identifying observable behaviors of a system (linking to data and dashboards as you go), and naming perceived constraints around the problem at hand.

Unknowns are the things we know we don’t know. Depending on the context, these might be things like exactly how two systems are connected, the rate limit of a third-party service, or what an unclear error message is trying to tell us.

When working in a group, the process of labeling knowns and unknowns is like building a jigsaw puzzle where we each have some of the pieces. If I only looked at my own pieces and you only looked at yours, we wouldn’t be able to see the whole picture. But when we get all the pieces out side-by-side and start to fit them together, some of what wasn’t clear to either of us before comes into focus.

These settings are a great opportunity to correct assumptions masquerading as “knowns” – what someone believes to be true can sometimes not be!

Conversely, those participants vocalizing what they’re unable to grasp creates an opportunity for others to share their knowledge and turn the unknown into a known – to connect some puzzle pieces together. Once connections are made, the team can move forward to create actionable next steps. Bear in mind that not all unknowns need to be solved, as not all will be relevant to the problem at hand. 

Step 3: Come up with theories 

Once the knowns and unknowns are mapped, the next step is to generate hypotheses. The hypotheses are educated guesses – tentative answers to an individual or group’s question – that can be tested and either supported or disproved. Depending on the context, the hypotheses might offer insights into why a problem exists or guide decision-making. The group can plot their next steps once the theory is proven or disproved.

Step 4: Action your next steps

Finally, assign out any next steps identified in phases two and three. Move unknowns in your table into knowns and prove or disprove hypotheses. By doing this, you can clarify uncertainties and move forward with confidence.

When should I reach for this tool?

I find myself using KUH in nearly every outage or incident scenario, especially in distributed systems with multiple teams at play. The outcome is that we swiftly merge context and come to an agreement on a short list of things that might be wrong in the system. Assigning team members to validate or invalidate each hypothesis allows everyone to tackle multiple problems simultaneously, speeding up the troubleshooting process. Ultimately, this reduces the mean time to recovery (MTTR).

KUH can also be used in technical planning conversations, getting a sense of the complexity of a problem and honing in on potential paths to solving it. If you find that a lot of unknowns crop up during these conversations, you will need to decrease the number of unknowns before committing to a project timeline or provide a buffer in the timeline, increasing the overall project length.

KUH is also a useful coaching tool. Oftentimes, I apply the logic in 1:1s to help my reports organize their own thinking on a problem. It helps them get out of unproductive thought patterns and identify what the next best course of action is.

How using KUH encourages a healthy culture

Healthy cultures don’t just happen; they grow from the behaviors we demonstrate as leaders and those that we encourage our teams to practice. Some of the bases of a healthy culture within engineering teams are psychological safety, bias for collaboration, bias for action, and data-based decision-making. KUH can encourage each of these cultural qualities in the following ways.

  • Psychological safety: As leaders, practicing KUH publically models vulnerability. In openly acknowledging the things we don’t know (vocalizing our own unknowns), we facilitate conversations that invite others to safely share without fear of retribution. This fosters a psychologically safe environment built on trust.
  • Bias for collaboration: KUH also broadcasts that collaboration is essential for problem-solving. It’s a tool that allows us to make forward progress by working with others to fill knowledge gaps and solve problems we wouldn’t be able to on our own.
  • Bias for action: Applying KUH demonstrates how we can move from a space of stagnation to having clear next steps. By setting a tone that refuses to settle for prolonged indecision and instead commits to moving forward, even in times of uncertainty, we inspire others to adopt the same mindset. 
  • Data-based decision-making: Finally, applying KUH demonstrates data- and logic-based decision-making even in the heat of an incident. By taking a moment to pause and gather concrete information, we can think more clearly and choose the best course of action. 

Final thoughts 

The KUH facilitation technique is a valuable tool for leaders in resolving uncertainty and encouraging forward progress. Try it out the next time you sense stagnancy in a conversation and see how it can help an individual or group reach a resolution!