Incomplete Information Dissemination

By the time it reaches the CEO, it’s basically a fairy tale If you think you know everything happening inside your company, congratulations—you’ve just discovered self-delusion. By the time information reaches the CEO, it’s been filtered, softened, &—let’s be honest—airbrushed beyond recognition. CEOs are always the last to know. Not necessarily because people are hiding things (though let’s be real, sometimes they are), but because the brutal truth of management is this: every layer between leadership & the front lines distorts the message by at least 25%. Do the math. If you have three layers between you & reality, 75% of the raw truth is gone. Remember that game of telephone? You whisper a message down the line, & by the time it gets to the last person, it’s completely different. Now, apply that to a company with multiple management layers, each with an unspoken rule: 👉 Make this sound a little better before passing it up. Here’s how it plays out: 🔹Frontline team: “We’re drowning in inefficiencies, & customers are furious.” 🔹Mid-level manager: “We’re experiencing operational challenges, but nothing we can’t handle.” 🔹Senior executive: “There are some areas for optimization, but overall, we’re in good shape.” 🔹CEO: “Things are running smoothly!” See the problem? By the time the message reaches the top, it’s been cleaned up, deodorized, & repackaged into something that won’t rock the boat. The CEO thinks they’re getting a real-time performance update. What they’re actually getting is a bedtime story. HBR found that 80% of employees don’t feel comfortable speaking up about workplace concerns. Translation? Leaders are making million-dollar decisions with incomplete or flat-out wrong information. & when communication is distorted, here’s what happens: ✅ Bad news gets buried. No one wants to be the messenger, so problems fester until they explode. ✅ CEOs get a false sense of security. They think everything is fine—until it isn’t. ✅ Decisions are out of touch. By the time leadership reacts, the problem is a five-alarm fire. How to fix it? Skip the layers. go direct. Great CEOs don’t just rely on reports. They go straight to the source. 1. Talk to frontline employees yourself. If you only hear from execs, you’re getting the PR version. 2. Make it safe to tell the truth. If bad news gets punished, expect more sugarcoating. 3. Ask uncomfortable questions. “What’s one thing we’re ignoring that could hurt us?” Jack Welch used to randomly call junior employees to ask, “What’s broken?” Steve Jobs wandered the Apple campus, having casual chats that revealed more than any PowerPoint ever could. Because at the end of the day, the only way to get the truth is to go looking for it. So, if you’re a leader, ask yourself: Are you getting the real story—or just the version people think you want to hear? #Leadership #Management #Communication #Business

Have you ever been asked to make a decision even though the data in front of you was incomplete or unclear? This is a common reality for Business Analysts, especially when working in fast-moving projects where perfect information rarely exists. Knowing how to act with limited data is a critical professional skill. Definition Incomplete data refers to any situation where required inputs, metrics, or context are missing, inconsistent, or unavailable, making it harder to reach a fully informed decision. Purpose The goal is not to wait for perfect data. It is to move forward confidently while reducing risk, validating assumptions, and protecting the project from wrong decisions. Identify What Is Missing First step is recognising which specific data points are absent and how they impact the decision. This brings clarity to the size of the risk. Validate Assumptions With Stakeholders Instead of guessing, convert gaps into assumptions and take them back to SMEs, users, or tech teams for quick validation. Use Patterns And Historical References When current data is missing, past releases, user behaviour, or previous sprint insights often give directional clarity. Practical Example In one of my projects, we had to define acceptance criteria for a payment flow but lacked complete user volume data from the legacy system. Instead of delaying the sprint, I mapped the dependencies, created assumptions for expected peak load, validated them with the infrastructure team, and aligned product owners on the risks. This allowed development to start while parallel teams worked on gathering the missing numbers. Framework To Decide With Incomplete Data 1. List all missing data points. 2. Prioritise which gaps directly affect the decision. 3. Convert those gaps into assumptions. 4. Validate assumptions with two or more stakeholders. 5. Check historical patterns or previous project data. 6. Document risks, get alignment, and move ahead with controlled confidence. Key Takeaway You do not need perfect data to make a good decision. You need structured thinking, validated assumptions, and clear communication. Closing Question How do you approach decision making when the information is incomplete or unclear in your projects?

🔍 The Vast majority of PS leaders are paralysed by incomplete data when making critical project decisions. You know the feeling: Multiple spreadsheets open. Waiting for "one more report." Endless vendor comparison matrices. Meanwhile, deadlines loom. Clients grow impatient. And opportunities slip away while you chase the myth of perfect information. I see this expensive mistake every day: PS teams spending weeks gathering data that won't actually change their decision. Here's what your spreadsheets won't tell you about vendor selection: → How do they handle scope changes when you're not looking? → Do their teams proactively flag risks or wait for you to discover them? → When budgets get tight, do they protect the relationship or the margin? These human factors determine 80% of project success. But 90% of decision frameworks ignore them completely. Real story: A client needed a vendor decision in 48 hours. We had performance benchmarks for Vendor A but not B. Implementation timelines for B but not A. Missing: cost breakdowns, security certifications, and reference calls. Classic data paralysis setup. But here's the breakthrough insight that changed everything: The most successful PS leaders I know make their best decisions with 60% of the data they want. Instead of chasing missing metrics, we flipped the question: "What's the worst thing that could happen if we're wrong about each choice?" Vendor A: Potential performance issues (fixable with optimization) Vendor B: Communication breakdown during crises (relationship killer) The decision became obvious. The solution isn't more data. It's better questions about what the data can't tell you. Your clients aren't paying you to have perfect information. They're paying you to make confident decisions despite imperfect information. What's a decision you've been overthinking because you're waiting for "perfect" data? ♻️ Share this with a PS leader ready to escape analysis paralysis ➕ Follow me for more insights on decision-making in Professional Services

The Hidden Cost of Sharing Too Late In a team meeting I observed, the group was trying to fix a recurring customer delay. The assumption was straightforward: something in the process wasn’t working. So the team did what teams usually do. They mapped workflows. They debated root causes. They scheduled another meeting. Forty minutes in, someone finally said: “We already analyzed this last week.” They had the report. It clearly showed where the delay was happening. It even suggested what to fix first. But the report stayed in one team’s inbox. Not because anyone was hiding it. They didn’t think it was the right time to share. Or the right room. Or their responsibility. So the team spent days solving a problem that already had clarity. That’s when it became obvious. The issue wasn’t effort. It wasn’t capability. It wasn’t urgency. It was timing. Here’s the part most teams miss: Delayed sharing doesn’t look like a problem. It looks like being careful. Being polite. Staying in your lane. But the cost is real. Decisions slow down. Momentum disappears. Teams work harder than necessary. High-performing teams don’t wait for perfect clarity. They share early — even when information is incomplete. Because clarity shared late is almost as costly as clarity never shared. So if your team feels heavy lately, don’t ask: “Why is this taking so long?” Ask instead: “What do we know now that would’ve helped earlier?” That’s usually where speed is hiding. #Leadership #TeamEffectiveness #BreakingSilos #DecisionMaking #OrganizationalCulture #HighPerformingTeams #WorkplaceTruths #ExecutionMatters #ClarityOverComplexity

I’ve read multiple 2026 outlooks for Life Sciences and much is unknown. But one thing is clear: complexity is accelerating faster than organizations can comfortably absorb it.  In her 2026 outlook, Aimee Raleigh of LifeSciVC describes the past year as a “constant sensation of vertigo.” If 2025 was the year of vertigo, 2026 may be more of the same, just faster. J.P. Morgan, Deloitte, and PwC describe an environment of complexity, speed, and compressed decision windows. Raleigh says the winners will “act early” without having all the data. PwC agrees saying, “winners will be those who deploy capital with precision, speed, and foresight.” When I read the outlooks I’m asking, “what does this mean for communication?” For many experts, this environment feels genuinely disorienting. They’re asked to make recommendations with incomplete information, across functions they don’t control, and under timelines that feel tighter than ever. In this reality, experts who excel do two things: First, they value clarity over thoroughness. This week an HR Biotech leader said to me, “Are you noticing that there is less time to make a point than ever before? What used to be an hour-long conversation is now a 10-minute update.” It’s not that leaders are impatient nor that they dislike details. But as judgment windows compress, tolerance for unclear, overly detailed communication disappears. Experts must land points quickly or miss their window. Second, they present as advisors, not informers. We hear this skill termed “data storytelling,” or defining the narrative. The key is successful communicators clearly present why information matters and give recommendations on next steps that can be taken based on the information. Opportunities in turbulent times go to those who maintain a level head, interpret the chaos clearly for others, and offer a way forward with only 80% of the data (or less!) Yesterday, I spoke to an SVP leading a Global Product Team. He said (I’m paraphrasing), “The GPT needs to be able to tell the story of the molecule and quickly adjust the complexity based on the audience. When the story is developed at the functional level the function inevitably becomes the hero of the story. To communicate clearly across the organization the story needs to be developed with the molecule as the hero, and each function clearly playing a supporting role. The telling of the story then can be adjusted to the listener.” This is it. Many experts I talk to: - Believe more detail will increase credibility. - Assume others understand how their work contributes. - Want 100% clarity before they make a recommendation. I help them: - Build credibility by selecting details most helpful to leadership. - Clearly state why their work matters and how it furthers the mission. - Make recommendations on next steps based on trends, and differentiation. Because today, clarity is a necessary leadership skill, not a presentation preference.

The Iceberg of Ignorance is a concept describing how lower-level employees know about most organizational problems, while senior executives see only a small fraction, much like the visible tip of an iceberg. Originating from a 1989 study by Sidney Yoshida, it illustrates a significant knowledge gap where 100% of problems are known to front-line staff, 74% to supervisors, 9% to middle managers, and only 4% to top management. This phenomenon results from communication breakdowns, cognitive biases, and cultural factors that prevent lower-level insights from reaching leadership, leading to poor decision-making. Key Aspects of the Iceberg of Ignorance Hierarchical Knowledge Disparity: The model highlights the decreasing awareness of problems as information moves up the organizational hierarchy.  Communication Breakdown: Employees often feel uncomfortable speaking up, or lack effective channels to communicate concerns to management.  Cognitive Bias: Executives might overestimate their own knowledge and dismiss insights from ground-level employees.  Organizational Culture: A culture that discourages dissent or challenges can prevent important issues from surfacing to leadership. Why It Matters Poor Decision-Making: With limited awareness of the full picture, senior leaders can make decisions based on incomplete information, affecting the entire organization.  Persistent Problem: The concept remains relevant today, demonstrating that despite advancements in technology and communication since the 1980s, the fundamental management challenges persist.  Overcoming the Iceberg: To "melt" the iceberg of ignorance, organizations must implement strategies that improve communication and transparency, such as:  A) Establishing open communication channels. B) Encouraging a culture where employees feel safe to voice concerns. C) Using technology or process mining to gain insights into actual operations. D) Implementing processes like the "1-2-3" method, which asks key questions about who can help, who will execute, and who will be impacted by a decision before it's made. 

🕵️♂️💬 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲 𝐯𝐬 𝐂𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐭𝐢𝐚𝐥𝐢𝐭𝐲 — “𝐓𝐨 𝐒𝐡𝐚𝐫𝐞 𝐨𝐫 𝐍𝐨𝐭 𝐭𝐨 𝐎𝐯𝐞𝐫𝐬𝐡𝐚𝐫𝐞?” Every leader says, “Let’s be transparent.” Till someone shares too much and suddenly everyone is searching for oxygen. 😅 Here’s the tricky truth: 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲 𝐛𝐮𝐢𝐥𝐝𝐬 𝐭𝐫𝐮𝐬𝐭 𝐭𝐢𝐥𝐥 𝐢𝐭 𝐬𝐩𝐢𝐥𝐥𝐬 𝐢𝐧𝐭𝐨 𝐜𝐡𝐚𝐨𝐬. 💬 𝐀 𝐜𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐞 𝐦𝐨𝐦𝐞𝐧𝐭 𝐰𝐞 𝐚𝐥𝐥 𝐤𝐧𝐨𝐰: A leader shares every draft, every version, every half-formed idea and the team wonders, “Is this the final version, the temporary final, or the final-final?” On the flip side, Leaders who hide everything and reveal nothing lose trust faster than audio drops in a virtual meeting. Because people don’t need all the information. They need the right information at the right time. Leadership lives in the balance. 🧠 𝐖𝐚𝐲𝐬 𝐭𝐨 𝐁𝐚𝐥𝐚𝐧𝐜𝐞 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲 𝐚𝐧𝐝 𝐂𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐭𝐢𝐚𝐥𝐢𝐭𝐲: 1️⃣ 𝐓𝐡𝐞 “𝟑 𝐑𝐬” 𝐅𝐢𝐥𝐭𝐞𝐫 (𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞, 𝐫𝐞𝐚𝐝𝐢𝐧𝐞𝐬𝐬, 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲) From organisational communication research. Before sharing, ask: • 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞: “Does this help them now?” • 𝐑𝐞𝐚𝐝𝐢𝐧𝐞𝐬𝐬: “Is it clear enough not to confuse?” • 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲: “Will this protect people or expose them?” If any answer is “no,” reshape before you share. 2️⃣ 𝐒𝐡𝐚𝐫𝐞 𝐭𝐡𝐞 𝐂𝐨𝐧𝐭𝐞𝐱𝐭, 𝐍𝐨𝐭 𝐭𝐡𝐞 𝐂𝐡𝐚𝐨𝐬 MIT Sloan research shows uncertainty drops by 40% when leaders explain why something is happening — even with incomplete details. So replace noise with clarity: • “Here’s what we know.” • “Here’s what’s in progress.” • “Here’s when we’ll update you.” 3️⃣ 𝐔𝐬𝐞 𝐓𝐡𝐞 𝐇𝐄𝐀𝐑𝐓 𝐌𝐨𝐝𝐞𝐥 (𝐇𝐚𝐫𝐯𝐚𝐫𝐝): A well-known trust-building tool: H – Honesty (share truthfully) E – Empathy (acknowledge impact) A – Accountability (clarify role + next steps) R – Rationality (share facts, not feelings) T – Timing (share at the right moment) Using HEART reduces misinterpretation — the biggest cause of “oversharing accidents.” 4️⃣ 𝐆𝐚𝐫𝐭𝐧𝐞𝐫’𝐬 𝐑𝐢𝐬𝐤 𝐆𝐫𝐚𝐝𝐢𝐧𝐠 Classifying communication into 3 levels: • 𝐆𝐫𝐞𝐞𝐧: Safe for all → share openly • 𝐀𝐦𝐛𝐞𝐫: Sensitive → share with context & disclaimers • 𝐑𝐞𝐝: Restricted → share only with required groups This prevents emotional leaks, grapevine stories, and accidental “townhall dramas.” 5️⃣ 𝐓𝐡𝐞 “𝟐𝟒-𝐇𝐨𝐮𝐫 𝐂𝐥𝐚𝐫𝐢𝐭𝐲 𝐑𝐮𝐥𝐞” (𝐍𝐞𝐮𝐫𝐨𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩) The brain fills gaps with fear within 24 hours. If you can’t share full details yet, say: • “𝐖𝐡𝐚𝐭 𝐰𝐞 𝐤𝐧𝐨𝐰” • “𝐖𝐡𝐚𝐭 𝐰𝐞 𝐝𝐨𝐧’𝐭 𝐤𝐧𝐨𝐰” • “𝐖𝐡𝐞𝐧 𝐰𝐞’𝐥𝐥 𝐟𝐨𝐥𝐥𝐨𝐰 𝐮𝐩” Instant trust. Zero panic. “𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲 𝐢𝐬 𝐠𝐫𝐞𝐚𝐭… 𝐛𝐮𝐭 𝐧𝐨𝐭 𝐞𝐯𝐞𝐫𝐲 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐟𝐨𝐫𝐰𝐚𝐫𝐝 𝐧𝐞𝐞𝐝𝐬 𝐚 𝐭𝐨𝐰𝐧𝐡𝐚𝐥𝐥.” 😄 #LeadershipParadoxSeries #HumanSideOfLearning #WorkplaceWisdom #LeadershipPsychology

The startup reality is that you are regularly having to make decisions with incomplete information, or asymmetric information. Every founder (and investor) faces it. Decisions are made with incomplete information. Early-stage startups live in this environment. The market’s uncertain, data is scarce, and the cost of waiting for clarity is often greater than the cost of being wrong. So how do you structure decisions when the information is asymmetric? Here’s what works for me 👇 1️⃣ Define the asymmetry. Be clear on what you know, what you don’t know, and what you can’t know yet. This simple mapping clarifies whether your decision is a knowledge gap (solvable) or an uncertainty (unavoidable). 2️⃣ Use a “Two-Way Door” mindset. Borrowing from Jeff Bezos, some decisions are one-way doors (hard to reverse), others are two-way doors (easy to undo). Move fast on two-way doors. Be deliberate with one-way doors. 3️⃣ Create short feedback loops. When you can’t have perfect information, have fast iteration. Structure the decision so you can learn quickly. Define early signals, measurable milestones, and room to pivot. 4️⃣ Assign a threshold of acceptable risk. Every decision has a downside. Define in advance how much risk you’re willing to absorb before acting. Unspoken risk tolerance is where most founders (and teams) stumble. The truth is that you’ll never have perfect information. But with structure, awareness, and speed, you can still make excellent decisions in imperfect conditions. #DecisionMaking #StartupLeadership #FounderAdvice #AsymmetricInformation #Execution #SpeedOfLearning #StartupStrategy #IndelibleVentures