Creating Decision Protocols

Your research findings are useless if they don't drive decisions. After watching countless brilliant insights disappear into the void, I developed 5 practical templates I use to transform research into action: 1. Decision-Driven Journey Map Standard journey maps look nice but often collect dust. My Decision-Driven Journey Map directly connects user pain points to specific product decisions with clear ownership. Key components: - User journey stages with actions - Pain points with severity ratings (1-5) - Required product decisions for each pain - Decision owner assignment - Implementation timeline This structure creates immediate accountability and turns abstract user problems into concrete action items. 2. Stakeholder Belief Audit Workshop Many product decisions happen based on untested assumptions. This workshop template helps you document and systematically test stakeholder beliefs about users. The four-step process: - Document stakeholder beliefs + confidence level - Prioritize which beliefs to test (impact vs. confidence) - Select appropriate testing methods - Create an action plan with owners and timelines When stakeholders participate in this process, they're far more likely to act on the results. 3. Insight-Action Workshop Guide Research without decisions is just expensive trivia. This workshop template provides a structured 90-minute framework to turn insights into product decisions. Workshop flow: - Research recap (15min) - Insight mapping (15min) - Decision matrix (15min) - Action planning (30min) - Wrap-up and commitments (15min) The decision matrix helps prioritize actions based on user value and implementation effort, ensuring resources are allocated effectively. 4. Five-Minute Video Insights Stakeholders rarely read full research reports. These bite-sized video templates drive decisions better than documents by making insights impossible to ignore. Video structure: - 30 sec: Key finding - 3 min: Supporting user clips - 1 min: Implications - 30 sec: Recommended next steps Pro tip: Create a library of these videos organized by product area for easy reference during planning sessions. 5. Progressive Disclosure Testing Protocol Standard usability testing tries to cover too much. This protocol focuses on how users process information over time to reveal deeper UX issues. Testing phases: - First 5-second impression - Initial scanning behavior - First meaningful action - Information discovery pattern - Task completion approach This approach reveals how users actually build mental models of your product, leading to more impactful interface decisions. Stop letting your hard-earned research insights collect dust. I’m dropping the first 3 templates below, & I’d love to hear which decision-making hurdle is currently blocking your research from making an impact! (The data in the templates is just an example, let me know in the comments or message me if you’d like the blank versions).

Most founders don’t need more time, they need more transferable thinking. The real time drain isn’t the work itself. It’s having to re-explain your reasoning every time a task bounces back to you. Delegation can’t scale if it requires a play-by-play for every decision. Here’s how to turn your judgment into something your team can actually use without you: - Capture your thinking at the source: After a recurring decision (like a vendor exception or a pricing tweak) record a 60–90 second voice note explaining why you chose one path over another. - Turn it into simple decision rules: Use an “If – Then – Because” format so others know the trigger, the threshold, and the principle behind your call. Add a few worked examples for edge cases. - Clarify who decides: Define who recommends, who gives input, who decides, and who executes so you stop renegotiating ownership every time a decision comes up. - Package a judgment brief: Inputs, rules, snippets, escalation triggers all in one place. - Pilot with your EA: Measure first-pass completion, how often something gets escalated, and how long it takes to resolve. Iterate until the system runs cleanly. When your thinking becomes transferable, your team moves with your judgment without requiring your presence. That’s how you stop being a bottleneck and start scaling outcomes. 👉 We built a FREE Voice Note to SOP GPT that turns a short voice note into clear decision rules, examples, and a ready-to-use SOP. The link’s in the comments, try it on one workflow this week. What’s one decision you’re tired of re-explaining?

Ever leave a meeting thinking “we aligned”… Then nothing happens for a week? Here's why that happens: It’s not laziness. It’s not “ownership.” It’s this: → Everyone looked at the same info. → Nobody agreed what to look for. → So the loudest interpretation won. This image is the same problem. The cat is there. You miss it until you know the tell. Teams miss “the cat” every day: → They mistake polish for proof. → They mistake motion for progress. → They mistake alignment for agreement. Save this. Use it in the next messy meeting. First, run the 3-question lens: 𝟭. 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘄𝗲 𝗱𝗲𝗰𝗶𝗱𝗶𝗻𝗴 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄? Say it in one sentence. If you can’t, you’re not ready to talk. 𝟮. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 “𝗴𝗼𝗼𝗱” 𝗹𝗼𝗼𝗸 𝗹𝗶𝗸𝗲? One sentence. If you can’t define it, you can’t align on it. 𝟯. 𝗪𝗵𝗮𝘁 𝘄𝗼𝘂𝗹𝗱 𝗰𝗵𝗮𝗻𝗴𝗲 𝗼𝘂𝗿 𝗺𝗶𝗻𝗱? Name the proof. If there is no proof, you’re debating taste. Then install this decision architecture. Four simple rules: 𝟭. 𝗢𝗻𝗲 𝗼𝘄𝗻𝗲𝗿 Write one name next to the decision. Not “we”. Not “the team”. 𝟮. 𝗣𝗶𝗰𝗸 𝘁𝗵𝗲 𝘁𝘆𝗽𝗲 • Reversible: decide fast, test, adjust • Hard to reverse: slow down, get evidence • Values: data won’t save you. Choose. 𝟯. 𝗣𝗶𝗰𝗸 𝘁𝗵𝗲 𝗿𝘂𝗹𝗲 • Owner decides after input (default) • Consensus (rare) • Vote (only if you’ll accept the result)    𝟰. 𝗪𝗿𝗶𝘁𝗲 𝘁𝗵𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗱𝗼𝘄𝗻 (𝘁𝗵𝗶𝘀 𝗶𝘀 𝘁𝗵𝗲 𝘄𝗵𝗼𝗹𝗲 𝗴𝗮𝗺𝗲) • Decision. • Owner. • Measure. • Review date. If you do only this, two things happen: Slack stops looping. Meetings stop becoming reruns. Clarity isn’t a personality trait. It’s a method. - 💾 Save this for your next decision. 🔗 Follow Konstanty Sliwowski for more on decision clarity and leadership.

Your A/B test is done. Results are in. Now what? I've sat through hundreds of post-experiment meetings, and they all follow the same pattern: → Marketing sees 8% improvement: "Clear win, let's roll it out!" → Product sees same data: "We need more testing across segments" → Engineering worries about implementation complexity → Leadership wants ROI projections and timelines Six weeks later, you're still debating what the results "really mean." #Product leaders: This is costing you more than you think. Here's the uncomfortable truth: The moment you see results before deciding what to do with them, you've contaminated your decision-making process. Working with experimentation teams across enterprise organizations, I've learned that post-hoc decision making is inherently flawed: ✗ Emotional contamination (3% feels "significant" when you need good news) ✗ Retrospective rationalization (current priorities get retrofitted onto past experiments) ✗ Stakeholder politics (everyone advocates for their departmental interests) If your a product teams are running experiments, they're likely creating this problem without realizing it. Every time you wait to see results before deciding what they mean, you're setting up your team for: ✗ Weeks of post-experiment debates ✗ Good experiments dying in analysis paralysis ✗ Strategic initiatives stalling while teams argue over interpretation Strategic experimenters decide what they'll do BEFORE pushing that experiment live. They create Decision Protocols that establish: * Success thresholds for different actions * Implementation criteria including secondary metrics * Clear responses to every possible outcome P.S. Do you make experiment decisions before or after seeing results? #ProductLeadership #ChiefProductOfficer #ProductDecisions #ABTesting #experimentation #experimentationgovernance #product #productexperimentation #innovation

If it’s always a debate, it’s not a decision process. If your team debates endlessly, you don’t have collaboration — you have a loop. It happens all the time: Smart people. Good intentions. And a decision that never gets made. Not because they disagree — but because no one defined how the decision will be made. When everything requires consensus, nothing moves. When ownership is fuzzy, meetings become theater. Without a clear process, teams mistake discussion for progress. --- Step 1: See how decisions actually happen ↳ Who holds the pen? Who influences it? ↳What’s the unspoken rule — consensus, hierarchy, or whoever speaks last? ↳ Until you see the invisible process, you can’t improve it. --- Step 2: Create clarity before deciding Ask: ↳ What matters most — speed, accuracy, risk, or optics? ↳Who decides vs. who advises? ↳ What’s “good enough” to move forward? Before making any major call, pause to ask three key questions 👇 1️⃣ Do we have the information needed to decide confidently? If not, define what’s missing — and by when it will be available. A delayed decision is sometimes better than an uninformed one. 2️⃣ What are the tradeoffs between Option 1 and Option 2? Every decision has tension. For example: choosing a newer architecture might deliver faster results, but carries the risk of using a less mature product. Clarify what’s gained, what’s lost, and what sits in between. 3️⃣ What are the non-negotiables? Define absolute must-haves and showstoppers. Then weigh the remaining differences by impact, not emotion. Remember: no decision is perfect. The right decision aligns with your organization’s priorities and moves you closer to the desired outcome. Every choice has limits. The key is knowing what you can — and can’t — live without. --- Step 3: Make it visible and reinforce it ↳ Once alignment is clear, make the call — and make it visible. ↳ Clearly communicate who made the decision and who approved it. ↳ Then make sure the reasoning and next steps are documented — because someone willask about it later. --- Meetings don’t move projects. Decisions do. Clarity isn’t about control. It’s about creating shared confidence to move forward. If your team debates endlessly, stop looping. Define the decision, make the call, and act. --- ♻️ Share this post with your network — clarity moves faster than consensus. ➕ Follow Janet Kim for more stories on leadership and career transformation. ~~~~~~ I leverage 19 years in Stanford tech to help emerging leaders think strategically, build influence, and execute with confidence, so you’re seen, heard and valued.

Talking about Cognitive Work Analysis - CWA Today, to illustrate, the Decision Ladder, second phase of a CWA will be explored. Constructing and analyzing decision ladders for surveillance systems. Decision ladder construction follows a systematic process that models information processing and decision-making sequences from situation detection through action implementation. The decision ladder template consists of information processing states (rectangles) connected by cognitive processes, with evaluation states (circles) representing decision points where operators assess information and select appropriate responses.  Construction begins with identifying the specific decision-making scenario for analysis, such as target identification in surveillance operations or coordination between manned and unmanned platforms during search missions. The basic template includes standardized elements: Activation (what triggers the decision process), Observation (information detected), System State (current conditions), Options (available alternatives), and Procedure (applicable rules or protocols). For surveillance systems, decision ladders typically model processes like target detection and classification, threat assessment, asset allocation, and coordination between surveillance platforms. Information processing states capture sensor data interpretation, while decision states represent evaluation points where operators assess threat levels, select appropriate responses, or coordinate with other team members. The construction process maps information flow between states, identifying potential shortcuts where experienced operators bypass intermediate decision steps. These shortcuts represent rule-based or skill-based performance where experts rapidly progress from situation assessment to appropriate action without extensive analysis. For manned-unmanned teaming, shortcuts might represent automated target cueing systems that present pre-processed information directly to human operators. Analysis focuses on identifying cognitive vulnerabilities, information requirements, and coordination points where decision-making depends on input from other team members or automated systems. Decision ladders reveal where human operators require specific information, what decision points create bottlenecks, and how expertise differences affect information processing patterns. This analysis directly informs interface design, automation function allocation, and training requirements for surveillance operations. Validation involves reviewing constructed decision ladders with domain experts, testing against actual decision scenarios, and identifying variations based on expertise levels or mission conditions. Successful decision ladder analysis captures both the logical flow of decision-making and the practical shortcuts that characterize expert performance in operational environments.

Here is a keyword-packed, well-researched LinkedIn post for the design, written naturally and humanly: Does "Fear" hold back your team from making key decisions? You are not alone. It is typically the number one blocker in B2B, startups, and even established leadership teams. But here's the good news: you can fix it in 10 minutes. I've developed a simple but powerful "Fear to Action Protocol" that leaders can start using today to cut through fear and drive decisive action. Here's how to use it in your next meeting: Fear → Action Protocol (10 Minutes) Pre-mortem (3 min): Don't be nice. Write down the top 3 ways this initiative or decision will blow up spectacularly. To be blunt upfront prevents blind spots. Tripwire (3 min): Create a clear, early warning flag and a definite threshold. For example, "If churn rises more than 2% this week, we stop and reconsider." This creates a clear safety net. Reversible Bet (2 min): Make it tiny. Can you make the choice mini? Reduce scope, time commitment, and expense to make the risk so small. This makes a scary leap a sequence of manageable, test-worthy steps. Owner + Deadline (2 min): Identify a Directly Responsible Individual (DRI), set a hard deadline, and schedule the next check-in. Who does what when reduces ambiguity. Cut Through Fear with These Three Questions: What's the worst that could fail? How would we notice early if things went sideways? What's our "kill switch" to pull if needed? The "Kill Switch" Template: "If [specific metric or signal] crosses [defined threshold] for [time window], we stop the initiative and revert to [our safe state/previous plan]." Default Rule for Leaders: If a decision is reversible and has a small blast radius, make it now. Don't hesitate. If it's not reversible, raise the bar, take more data, and add at least one test of disconfirmation to verify your assumptions. Leaders don't wait until they are absolutely clear. They make it happen actively by asking more excellent questions and building good frameworks. This protocol is designed to allow your team to act with courage, not fear. Need my 1-page checklist you can plug into your next meeting to implement this? Comment "FEAR" below! Follow Nataraj Sasid #Leadership #DecisionMaking #Execution #Ownership #Trust #B2B #Startups #BusinessStrategy #Innovation

Real judgment is knowing when to move fast and when to hit pause. Here's how to build it systematically: 1. Problem Framing Accuracy Stop solving problems. Start solving the RIGHT problems. → Question the requirements before jumping to solutions. Like Musk's process: interrogate whether the problem you're solving actually needs solving. Or use Amazon's "Five Why's" to get beneath surface issues. → Track which "urgent" problems still matter after 48 hours. Most don't. → Reframe ruthlessly before jumping to solutions Make this a habit so you'll instinctively question the problem before solving it. 2. Risk Calibration Speed Calculate reversibility first. → Jeff Bezos nailed this in his 1997 shareholder letter: Some decisions are one-way doors, consequential and nearly irreversible. These need careful deliberation. But most decisions are two-way doors, changeable and reversible. These should be made quickly. → Before any decision, ask: "Can I walk back through this door?" → Build this reversibility check into your decision-making SOP. Over time, risk assessment becomes automatic. 3. Strategic Patience Slow down the big bets. Speed up the experiments. → Institute holds on major decisions (anything over $10K or affecting multiple people). Run rapid tests on low-stakes choices. → Build pace evaluation into your process. It will become natural over time. Speed without judgment = expensive mistakes. Judgment without speed = missed opportunities. Judgment compounds. Build it like infrastructure.

Stop designing workshops around topics. Start designing them around decisions. Every bad workshop starts the same way: "We need a workshop on communication." "Let's do something on leadership." "The team needs training on collaboration." Those aren't workshop briefs. Those are themes. And themes are where workshops go to die. Here's what happens when you design around a topic: → You google "communication workshop activities" → You find 15 exercises that sort of relate → You pick the ones that fit your time slot → You deliver them in a logical order → Participants leave saying "that was interesting" → Nothing changes The workshop felt full. But it was full of content, not decisions. Now here's what happens when you design around a decision: → You ask: "What specific decision does this team need to make?" → You design every activity to get them closer to that decision → Participants leave having made the decision together → Something actually changes on Monday Same amount of time. Completely different result. Here's how to make the shift: Step 1: Replace the topic with a decision statement. → Topic: "Team communication" → Decision: "How will we handle disagreements when the project lead and the client manager don't agree?" → Topic: "Leadership development" → Decision: "What are the 3 behaviours we expect from every people manager, starting next quarter?" → Topic: "Collaboration" → Decision: "Who owns what in the handoff between sales and delivery, and what does the process look like?" A decision statement is specific. It names the tension. It points to a real problem that needs resolving. Step 2: Design the session backwards from the decision. Ask three questions: → What information does the team need to make this decision well? (That's your input. Keep it short.) → What conversation needs to happen to surface different perspectives? (That's your main activity.) → How will the decision be captured and committed to? (That's your closing.) That's your entire workshop. Input → Conversation → Decision. Step 3: End with the decision on paper. Not on Post-it notes. Not in someone's head. Written down with: → The decision itself → Who owns implementation → The first action within 7 days → A check-in date within 14 days If the decision isn't written down before people leave the room, it wasn't actually made. The difference is this: Topic-based workshops give people something to think about. Decision-based workshops give people something to do. One feels productive. The other actually is. ___ Save this for later (three dots, top right). Share with friends → ♻️ Repost. Get consultant-grade workshops every Sat → https://lnkd.in/eSfeUapJ