Efficient Decision-Making Process

How do you measure systems change? A recent report by the Freedom Fund identifies 9 methods that are particularly well-suited to measuring complex, non-linear systems change — especially in contexts like modern slavery, advocacy, and power shifting. Here’re the leading approaches: 1️⃣ Outcome Harvesting - Start with the change, then trace back to identify contributing interventions. Great for capturing both intended and unintended outcomes. 2️⃣ Most Significant Change (MSC) - Collects stories of change from stakeholders, then collaboratively decides which are most significant. Ideal when change is unpredictable. 3️⃣ Process Tracing - Tests causal pathways between interventions and outcomes. Useful for examining whether theories of change hold up. 4️⃣ Narrative Assessment - Co-creates stories with advocates to unpack the how and why of change, with a focus on decision-making and strategy. 5️⃣ Ripple Effects Mapping (REM)- Participatory mapping of a project’s wider impact. Visualises intended and unintended effects across a system. 6️⃣ Bellwether Method - Uses interviews with influential actors to gauge whether an issue is gaining traction in public discourse or policy. 7️⃣ SenseMaker® - Gathers micro-narratives from diverse voices and lets participants interpret their own stories, blending qualitative and quantitative insights. 8️⃣ Social Network Analysis (SNA) - Maps relationships and influence within a system, highlighting enablers and blockers of change. 9️⃣ General Elimination Methodology - A structured way to rule out weak causal explanations, narrowing down to the most convincing evidence for what caused change. These methods help evaluators move beyond metrics to capture shifts in relationships, power and norms — the essence of systems change. Source of images: https://lnkd.in/eesfmqUM

The 8 Cognitive Biases Sabotaging Your Choices (Without You Knowing) Our brains are wired for survival, not success. We rely on mental shortcuts - useful for quick decisions,  But dangerous when they lead us astray. The good news? Once we recognize these cognitive biases,  We can override them. More importantly, we can make better choices. 1️⃣ The Echo Chamber Trap (Confirmation Bias) We seek confirming info and ignore challenges. 🔨 Fix: Write the strongest counterargument and your response. 2️⃣ The Superman Trap (Overconfidence Bias) We overestimate skills and underestimate time. 🔨 Fix: Track decisions and review patterns. 3️⃣ The Devil-You-Know Trap (Status Quo Bias) We stick to what's familiar, even if it fails. 🔨 Fix: Ask, “Would we start this today?” 4️⃣ The Boss-Is-Always-Right Trap (Authority Bias) We trust authority over our own judgment. 🔨 Fix: Decide as if your boss were absent. 5️⃣ The Money-Pit Trap (Sunk Cost Fallacy) We keep failing projects because we’ve invested. 🔨 Fix: Focus on future value, not past costs. 6️⃣ The What’s-Hot-Now Trap (Recency Bias) We overvalue recent events, ignoring history. 🔨 Fix: Check 5-year trends, not recent data. 7️⃣ The Mirror Trap (Affinity Bias) We favor people like us, limiting diversity. 🔨 Fix: Use structured interviews to reduce bias. 8️⃣ The Crowd Trap (Bandwagon Effect) We follow the group instead of thinking. 🔨 Fix: Decide before hearing others. 👉 Final Thought: Our brains are powerful, but they have blind spots. Smart decision-making isn’t about working harder, It’s about recognizing and correcting these mental traps. If this resonated with you: ♻️ Share this post to help others break free from bad decisions. 🔔 And follow Dave Kline for more insights.

Think you’re free from bias? The truth is, none of us are. We all carry biases - some obvious, some hidden. The key isn’t to ignore them but to recognise and manage them. My friend Rachel Carrell, founder of Koru Kids, has embedded this approach in her team’s promotion process. Every six months, a review panel considers each employee’s progress based on role-specific milestones. But before the review even begins, the panel spends five minutes revisiting common biases to keep their assessments fair. This additional step gives them a lens beyond well-known biases like sexism or racism and brings attention to more subtle ways judgement can be skewed. A Harvard Business Review report noted that up to 66% of managers unconsciously favour individuals similar to themselves when making talent decisions. Imagine the impact of recognising biases like these before they shape your decisions: Affinity bias – Favouring people like us Conformity bias – Agreeing with the majority opinion Confirmation bias – Giving weight to what we already believe Recency bias – Focusing on recent interactions Contrast effect – Comparing people against each other Halo effect – Allowing one strength to overshadow everything Horn effect – Letting one weakness overshadow everything Team protection bias – Wanting to protect our own group Visibility bias – Giving extra credit to those we see most Spotting and managing these biases can be the first step towards a fairer, more inclusive workplace. ⬇️ Tell me below: Which one of these have you seen in action? Which ones will you be mindful of in your team interactions? 🔄 Repost to raise awareness and follow me, Jen Blandos, for daily business and entrepreneurship tips.

Recently I was chatting with a colleague about “sequential decision problems” and he quickly responded:   “Oh yes, dynamic programming, and we can solve it with Bellman’s equation”   PLEASE STOP!   First, we all know that there is only a tiny number of dynamic programs that can be solved exactly.   So of course we can turn to approximate dynamic programming (or “reinforcement learning”), as I did for almost 20 years. ADP/RL is a powerful approach, but it still only works for a small fraction of decision problems. ADP/RL spans a wide range of algorithmic strategies and approximation architectures. It is not for the faint of heart. Most of the successes exist only in journal articles where authors pick suitable problems, run tests and declare success (this is like running a race where you get to pick the winner).   What people do is turn to the other three classes of policies. For a refresher, see   https://lnkd.in/ems5-bE5 (“tinyurl.com/” with “FourClassesofPolicies”)   Remember - *everyone* makes decisions over time as new information arrives, so this is not something that does not apply to you. So how do we make these decisions? We turn to the big three types of policies:   1.    Policy function approximations (PFAs) – These can be simple rules (order-up-to, buy-low, sell-high), linear or nonlinear models, even neural networks (that is, any analytical function that might be used in machine learning). 2.    Cost function approximations (CFAs) – These are deterministic approximations, modified by tunable parameters that make them work well over time. A CFA can be a simple sort, or any math program (linear, nonlinear, integer). 3.    Deterministic lookahead approximations (Deterministic DLAs) – This is where we plan into a future where we approximate anything uncertain using a point estimate.   All of us have used each of these classes of policies, possibly without realizing it. When they are used properly, it is important to recognize the presence of tunable parameters, and to tune them, something that is easily overlooked or ignored.   You can pick the jungle on the left (below) or the two books on the right that cover all four classes of policies. For more information go to   https://lnkd.in/erC5zNt6 (“tinyurl.com/” with “sdalinks”)

In the world of leadership, making tough calls is inevitable, especially in times of uncertainty. Effective decision-making is a critical skill that can make or break a leader's success. Here are some strategies that have proven effective in my journey and can help you navigate the most challenging decisions: 1. Adopt a Robust Framework - OODA Loop (Observe, Orient, Decide, Act): This framework encourages rapid assessment and adaptation to changing conditions. It helps leaders stay agile and responsive. - Decision Matrix: Evaluate options based on criteria such as impact, feasibility, and alignment with organizational goals. This structured approach ensures comprehensive evaluation. 2. Balance Data and Intuition - Data-Driven Insights: Leverage data analytics to inform your decisions. However, don’t underestimate the power of your intuition, honed through experience and deep understanding of your field. - Scenario Analysis: Develop and analyze multiple scenarios to prepare for various potential outcomes. This helps in making informed decisions even in uncertain environments. 3. Engage a Diverse Advisory Group - Diverse Perspectives: Surround yourself with advisors from different backgrounds and expertise. Their varied viewpoints can uncover blind spots and offer innovative solutions. - Collaborative Decision-Making: Involve your team in the decision-making process. Collaboration fosters buy-in and leverages collective intelligence. 4. Maintain Flexibility and Agility - Iterative Approach: Break down decisions into smaller, manageable parts. This allows for adjustments based on feedback and evolving circumstances. - Pivot When Necessary: Be prepared to pivot if the situation demands it. Flexibility is crucial in navigating the complexities of the business landscape. 5. Focus on Long-Term Vision - Alignment with Vision: Ensure that your decisions align with the long-term vision and strategic goals of your organization. This keeps you on the right track even when immediate circumstances are challenging. - Sustainable Solutions: Aim for decisions that provide long-term value rather than quick fixes. 6. Reflect and Learn - Post-Mortem Analysis: After major decisions, conduct a thorough analysis to understand what worked and what didn’t. This continuous learning loop improves future decision-making. - Celebrate Successes and Learn from Failures: Acknowledge and celebrate your successes, but also embrace failures as learning opportunities. What strategies have you found effective in making tough decisions? #Leadership #DecisionMaking #StrategicThinking #ValueCreation #Entrepreneurship #PrivateEquity #VentureCapital #ConstructiveRebels

Behaviors are learned and reinforced. To make performance evaluations more inclusive, you need to proactively craft new practices. 🧠 Unbiasing nudges, intentional and subtle adjustments I craft with my clients, can play a pivotal role in achieving an objective and inclusive performance assessment. 👇 Here is what to consider: 🔎 Key Decision Points Analyze your evaluation process to identify key decision points. In my practice, focusing on assessment, performance goal setting, and feedback processes has proven crucial. Introduce inclusive prompts at each stage to guide unbiased decision-making. 🔎 Common Biases Examine previous reviews to unearth prevailing biases. Halo/horn effects, recency bias, and affinity bias often surface. Counteract these biases by crafting nudges tailored to your organization, integrating them seamlessly into your review spreadsheets. 🔎 Behavioral Prompts I usually develop concise pre-decision checklists tailored to each organization. The goal is to support raters' metacognition and introduce timed prompts during the evaluation process. 🔎 Feedback Loops Begin with small-scale implementation and collect feedback. Compare perceptions of both raters and ratees to gauge effectiveness. 🔎 Ongoing Training Avoid off-the-shelf solutions; instead, tailor training to your organization's unique context and patterns. Your trainer should understand your specific needs and design a continuous training program that reinforces these unbiasing nudges, providing managers with the necessary competencies. 🔎 Pilot and Evaluation Define metrics to measure progress and impact. Pilot your unbiasing nudges and regularly evaluate their effectiveness. Adjust based on feedback and insights gained during the pilot phase. 👉 Crafting inclusive performance evaluations is an ongoing journey. Yet, I believe, it's one of the most important ones. Each evaluation matters as it defines a person's career and sometimes even the future. ________________________________________ Are you looking for more DEI x Performance-related recommendations like this?  📨 Join my free DEI Newsletter:

𝟱 ��𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 Decision-making frameworks provide leaders with structured approaches to tackle complex problems, improve team alignment, and drive better outcomes. By using these tools, leaders can enhance their decision-making process, save time, and increase the likelihood of making successful choices. Here are 5 powerful frameworks every leader should know: 𝗧𝗵𝗲 𝗖𝘆𝗻𝗲𝗳𝗶𝗻 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 ↳ Description: Helps leaders identify the context of a situation (simple, complicated, complex, or chaotic) and choose appropriate actions. ↳ Used for: Adapting leadership style and decision-making approach based on the nature of the problem. 𝗧𝗵𝗲 𝗚𝗼𝗹𝗱𝗲𝗻 𝗖𝗶𝗿𝗰𝗹𝗲 ↳ Description: Focuses on the "Why," "How," and "What" of decision-making, emphasising the importance of purpose. ↳ Used for: Aligning decisions with core values and organisational mission. 𝗖𝗦𝗗 𝗠𝗮𝘁𝗿𝗶𝘅 ↳ Description: Organises information into Certainties, Suppositions, and Doubts. ↳ Used for: Clarifying knowledge gaps and guiding further investigation before making decisions. 𝗥𝗜𝗖𝗘/𝗜𝗖𝗘 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 ↳ Description: Prioritises options based on Reach, Impact, Confidence, and Ease (or Effort). ↳ Used for: Objectively evaluating and ranking multiple options or initiatives. 𝗘𝗶𝘀𝗲𝗻𝗵𝗼𝘄𝗲𝗿 𝗠𝗮𝘁𝗿𝗶𝘅 ↳ Description: Categorises decisions based on importance and urgency (or impact and reversibility). ↳ Used for: Prioritising tasks and allocating appropriate time and resources to decisions. By incorporating these frameworks into your leadership toolkit, you can enhance your decision-making process, foster better team collaboration, and drive more successful outcomes for your organisation. 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝘆𝗼𝘂: Which of these decision-making frameworks resonates most with your leadership style, and why? Share your thoughts in the comments! #LeadershipSkills #DecisionMaking #BusinessStrategy

how to make better biz decisions in 2026: (and maximize your efforts w/ AI) AI can generate reccs, but humans still make the decisions. to make better choices faster, use the 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘂𝗿𝗳𝗮𝗰𝗲𝘀 model, a way to map all the factors that influence a decision. think of a decision surface as a 𝗺𝗲𝗻𝘁𝗮𝗹 𝗺𝗮𝗽 that shows:  • 𝗶𝗻𝗽𝘂𝘁𝘀: the information or data points that matter  • 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀: limits you must operate within (time, budget, resources)  • 𝘁𝗿𝗮𝗱𝗲-𝗼𝗳𝗳𝘀: the consequences of choosing one option over another visualizing these factors creates a “surface” where every possible option can be evaluated. 𝗲𝘅𝗮𝗺𝗽𝗹𝗲: deciding on a marketing campaign  • inputs: audience size, budget, past engagement  • constraints: brand guidelines, launch deadlines  • trade-offs: reach vs. cost, creativity vs. predictability when you plot these, you can see which options are feasible, which are optimal, and where AI can help generate/rank possibilities. 𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝗶𝘁 𝘄/ 𝗔𝗜:  1. define the decision you need to make  2. list all inputs, constraints, and trade-offs  3. ask AI to generate options within this framework  4. evaluate options against the surface to pick the best one thinking in decision surfaces turns AI from a magic box, into a 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗮𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝗿, giving you better options faster while keeping humans in control.

I recently led a workshop with senior leaders on unconscious bias, one of the most subtle yet impactful forces shaping workplaces today. Here are some key, thought-provoking takeaways: Talent Pipeline: - Bias in "fit" over potential– We often seek candidates who feel like a "good fit," but this focus on familiarity limits diversity of thought and experience. By sticking with what feels comfortable, we may be missing out on the very perspectives that can push our business forward. - Meritocracy myths– Many of us believe we’re creating a merit-based environment, but unconscious bias can lead us to underestimate talent that doesn't mirror our own journey or leadership style. Thought: Could the future leaders of your organization be getting overlooked because they don't fit the traditional mold? What opportunities are we missing by favoring comfort over potential? Performance management - Critical vs. nurturing feedback– Studies show men often receive feedback that highlights their potential, while women and minorities are judged more on their current performance. This can lead to a self-fulfilling cycle where some are groomed for leadership, while others are held back. - Bias in “leadership traits”– We tend to associate leadership with traditionally masculine traits like decisiveness and assertiveness, while underappreciating qualities like empathy and collaboration. This limits the development of diverse leadership styles and stifles more inclusive forms of leadership. Thought: Are we unconsciously reinforcing outdated ideas of leadership that prevent diverse talent from rising? What if the traits we’re overlooking are exactly what the future of leadership needs? Bias as a leadership challenge Unconscious bias isn’t just an HR issue—it’s a leadership challenge that permeates every level of decision-making: - Awareness isn’t enough– Simply recognising our biases isn’t sufficient. We need strategies that actively challenge our instincts and foster fairer, more inclusive decision-making. - Courageous conversations– Creating an environment where it’s safe to talk about bias isn’t easy, but it’s essential. These discussions help us redefine how we view leadership, success, and talent. Addressing unconscious bias isn't a one-time fix—it's an ongoing commitment to redefining how we lead and make decisions. By fostering a culture that actively challenges bias, we don't just create a more inclusive workplace—we build a stronger, more innovative organization. The real challenge is: Are we willing to do the hard work to make it happen? #leadership #highperformance #DEI #inclusion

11 visuals that change how you decide When choices pile up, words get noisy. Pictures cut through. Want cleaner calls, faster? Start thinking in diagrams, not paragraphs. Which of these would save you an hour this week? Here are 11 I use (and teach) on repeat: 1. Effort × Impact Matrix ↳ Do high-impact, low-effort first. Kill low-impact, high-effort. ↳ Revisit weekly so the box doesn’t lie. 2. Two-Door Map (Reversible vs Irreversible) ↳ If you can undo it, decide fast. If you can’t, slow down. ↳ Match the speed to the cost of being wrong. 3. Barbell Strategy ↳ Keep most resources in proven plays; place small, bold bets on upside. ↳ Safety + spikes beats mushy middle. 4. Regret-Minimization Timeline ↳ Look from your 80-year-old lens: what choice would you be proud of? ↳ Optimise for stories you want to tell. 5. Spheres of Control ↳ Control, influence, accept. Put energy where it compounds. ↳ Drama shrinks when the circles are honest. 6. Options Portfolio Heatmap ↳ Keep 3 live options warm; score by upside × momentum. ↳ Prune monthly so “maybe” doesn’t eat time. 7. Pre-Mortem Tree ↳ Assume it failed; list root causes; design counter-moves now. ↳ Prevention is cheaper than heroics. 8. Evidence Ladder ↳ Claim → anecdote → data → experiment → repeatable result. ↳ Move up the rung before you move the budget. 9. Opportunity-Cost Clock ↳ Every yes spends hours you can’t re-earn. ↳ Budget time like cash, protect peak hours like gold. 10. Feedback-Loop Map ↳ Short loops for learning, long loops for leverage. ↳ Sequence so you learn fast, then scale what works. 11. Energy Triangle (Time × Money × Energy) ↳ A decision that drains energy is a hidden tax. ↳ Choose the path that protects your battery. Which visual do you want as a poster above your desk? ♻️ Share this with someone who needs cleaner decisions ➕ Follow Helene Guillaume Pabis for clear, human-first playbooks ✉️ Newsletter: https://lnkd.in/dy3wzu9A