Tactical Resource Allocation

Here’s the hidden pipeline killer most sales teams ignore. ~43% of deals aren’t lost to competitors. They weren't even lost to "no decision." They were lost to competing initiatives. While you're focused on beating your direct competitors, the real battle is for budget and attention against entirely different priorities. Your prospect has 25 projects competing for limited resources. Only 5-7 will get funded. Is yours one of them? Most sales teams are completely blind to this reality. They track competitive wins and losses but ignore the bigger threat. Here's how innovative sellers are addressing this hidden pipeline killer: 1️⃣ Map the priority landscape They ask directly: "What are the top 3-5 initiatives your team has committed to this quarter?" If your solution isn't aligned with one of these, you're already losing. 2️⃣ Identify the zero-sum game For every "yes" to your solution, something else gets a "no." The best reps ask: "What would have to come off your plate to make room for this project?" 3️⃣ Quantify the cost of inaction When initiatives compete, ROI isn't enough. You need to establish the cost of NOT implementing your solution. "What happens if this problem continues for another year?" 4️⃣ Connect to strategic priorities Tactical projects get cut first. Strategic initiatives survive. Top performers always tie their solution to the company's publicized strategic goals. 5️⃣ Prepare for budget reallocation Innovative reps build relationships with the teams who control resource allocation. "Who else is competing for the same resources? How are those decisions made?" Your competition isn't just other vendors. It's everything else your buyer could spend time and money on instead.

𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗦𝗲𝗰𝗿𝗲𝘁𝘀 𝗼𝗳 𝗪𝗼𝗿𝗹𝗱-𝗖𝗹𝗮𝘀𝘀 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 The most effective technology organizations share specific structural characteristics – regardless of industry or size. These structural patterns remain primarily invisible on conventional organizational charts but consistently separate high-performance technology organizations from their average-performing peers. Here are the five structural secrets that enable world-class technology execution: 𝟭. 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆-𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝘃𝘀. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁-𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝗧𝗲𝗮𝗺𝘀 Average organizations structure around projects, constantly reforming teams as initiatives change. Elite organizations build stable teams around enduring business capabilities, creating deep domain expertise and institutional knowledge. When one financial services firm shifted from project-based to capability-based teams, their deployment frequency increased 4x while defects decreased by 60%. 𝟮. 𝗧-𝗦𝗵𝗮𝗽𝗲𝗱 𝗦𝗸𝗶𝗹𝗹 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 World-class organizations systematically develop T-shaped professionals—people with deep expertise in a core area and sufficient breadth to collaborate across domains. This isn't accidental. Top organizations create deliberate rotation programs and cross-functional experiences that intentionally build both dimensions. 𝟯. 𝗗𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗔𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 Elite technology organizations hardcode innovation capacity into their operating model. The most effective approach I've observed is the 70/20/10 model:  • 70% on current business priorities  • 20% on adjacent opportunities  • 10% on transformational exploration This isn't discretionary – it's structurally enforced through resource allocation and performance goals. 𝟰. 𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 Average technology organizations interface with business stakeholders through formal channels, while world-class organizations embed business capability directly within technology teams. One healthcare company placed experienced clinicians directly in development teams, eliminating the translation layer between business needs and technical implementation. The result? A 62% reduction in requirements churn and 40% faster time-to-market. 𝟱. 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗔𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 Elite organizations implement quarterly (or even monthly) resource reallocation processes rather than annual planning cycles. This creates the organizational agility to respond rapidly to market changes. One retail organization increased its resource reallocation frequency from annual to quarterly and saw a 28% improvement in strategic initiative completion within 18 months. 𝐷𝑖𝑠𝑐𝑙𝑎𝑖𝑚𝑒𝑟: 𝑉𝑖𝑒𝑤𝑠 𝑒𝑥𝑝𝑟𝑒𝑠𝑠𝑒𝑑 𝑎𝑟𝑒 𝑝𝑒𝑟𝑠𝑜𝑛𝑎𝑙 𝑎𝑛𝑑 𝑑𝑜𝑛'𝑡 𝑟𝑒𝑝𝑟𝑒𝑠𝑒𝑛𝑡 𝑚𝑦 𝑒𝑚𝑝𝑙𝑜𝑦𝑒𝑟𝑠. 𝑇ℎ𝑒 𝑚𝑒𝑛𝑡𝑖𝑜𝑛𝑒𝑑 𝑏𝑟𝑎𝑛𝑑𝑠 𝑏𝑒𝑙𝑜𝑛𝑔 𝑡𝑜 𝑡ℎ𝑒𝑖𝑟 𝑟𝑒𝑠𝑝𝑒𝑐𝑡𝑖𝑣𝑒 𝑜𝑤𝑛𝑒𝑟𝑠.

“Should we add more CSMs, or add more CS Ops?” It’s the allocation question every CS leader faces as budgets tighten and expectations rise. The wrong choice can damage customer retention, blow the budget, or both. The best CS leaders are following a simple formula: Make tech investments where they create efficiency. Make human investments where they generate retention and growth. The Clear Division of Labor Technology excels at tasks requiring consistency, speed, and scale where human judgment isn’t critical: • Administrative work and data processing • Routine communications and follow-ups • Process orchestration and workflow management Humans excel at tasks requiring judgment, creativity, and strategic thinking: • Strategic guidance and complex problem-solving • Relationship building and value creation conversations • Turning satisfied customers into advocates But here’s where segmentation changes everything. Segmentation Drives Everything What works for enterprise accounts doesn’t work for SMBs: High-value segments require human investment. The impact on retention and growth justifies the cost. High-volume segments require tech investment. They value speed and reliability, and unit economics demand efficient delivery. Scaling Isn’t Just Automation — It’s Trust Many CS leaders assume scaling means automating everything. But trust - the foundation of customer success - scales through a strategic blend of tech and human touch: Trust scales through consistency- Reliable delivery of promises, whether automated or human Trust scales through competence- AI-powered insights helping CSMs provide better guidance Trust scales through transparency- Proactive updates that keep customers informed Trust scales through personalization - Understanding unique needs at scale The Resource Allocation Framework Your segmentation strategy drives your resource allocation decisions. Map your customer journey by segment and classify touchpoints as either: • Efficiency-focused (perfect for tech) • Growth-focused (requiring human investment) Then audit where you’re using expensive human resources on automatable tasks, and where you’re using automation for interactions that demand human judgment. CS organizations that execute this principle operate with fundamentally better unit economics. They deliver personalized, strategic value to high-value customers while serving high-volume customers efficiently. They aren’t choosing between efficiency and growth - they’re achieving both. The framework is simple: tech for efficiency, humans for growth. But applying it requires knowing your customers well enough to understand which approach builds the most trust with each segment. Where are you misallocating resources between tech and human investments?

Running financial operations across three continents has taught me something fundamental The resource allocation that most executives overlook. In our industry, success comes down to three core assets: time, capital, and market intelligence. What separates profitable firms from struggling ones is understanding how these assets multiply each other.   When we deploy capital alongside deep market knowledge, we compress deal timelines and accelerate returns.   When we invest capital and time into building superior intelligence networks, we gain competitive advantages that compound for years. When we leverage our knowledge and time strategically, capital flows follow naturally. This principle drives every major decision across Ingot’s operations. Rather than treating these as separate budget lines, we view them as interconnected levers that amplify each other's impact. The firms that master this multiplication effect dominate their markets.

35% of our accounts brought in just 12% revenue But we were treating them exactly like our biggest customers, stunting our growth We had fallen into the resource allocation trap: our monolith CS team was treating every customer identically. Each person managed 60+ accounts, juggling implementation, onboarding, ongoing support, AND relationship management for everyone from $4K to $40K customers. The result? Our high-value clients weren't getting the strategic attention they deserved, while our CS team burned out putting out fires across all account sizes. We were democratizing mediocrity instead of optimizing for impact. So we restructured everything: > Split CS responsibilities by expertise (technical vs. relationship management) > Created three tiers based on ACV with appropriate resource allocation > Let Account managers handle high-touch relationships for top accounts > Moved smaller accounts to efficient self-serve support with enhanced documentation Our enterprise clients finally got the white-glove experience they paid for, and our smaller accounts got faster, more efficient support. Win-win. What's your approach to customer success resource allocation? #B2B #CustomerService #GTM #Factors

Unbreak the Bank: The Resource Allocation Error 📊 It’s ironic how we can spend months debating a $20,000 budget item while allocating zero minutes to our scarcest resource— managerial time and attention. One of the most import jobs of a senior leader is the effective allocation of what are always limited resources. We seem to understand the importance of this with financial resources. Not so much with our own mental capacity, which an even rarer commodity. Banks starve promising innovations of executive sponsorship while pouring resources into projects that check strategic planning boxes, but don’t move the needle. It's like carefully watering your plastic plants while your garden withers. Roger Martin's "Where to Play/How to Win" framework isn't just about market positioning— it's about courage. The courage to say no to good ideas so you can say yes to great ones. The courage to allocate not just dollars, but leadership bandwidth where it actually creates differentiation. Next time you're in a planning session, try this: List your top three strategic initiatives, then check your calendar for the past month. If your time doesn't align with your strategy, one of them is lying. #UnbreakTheBank #banking #strategy

47 projects. 3 days. 1 decisive outcome. $50M saved. A client brought us in to evaluate their entire development pipeline. The challenge: Limited resources, unlimited ideas, and no clear way to choose winners. The process: - Evaluated each project against underserved customer outcomes - Scored initiatives on their ability to deliver customer value - Identified projects addressing overserved or irrelevant outcomes - Optimized high-priority initiatives for cost, effort, and risk The results: - 12 projects immediately accelerated with additional resources - 23 projects reconsidered or abandoned - 12 projects optimized to deliver more customer value - Estimated $50M saved in misdirected development costs The transformation: From a scattered approach, hoping something would work, to a focused strategy targeting known opportunities. When you know precisely which customer outcomes are underserved, resource allocation becomes strategic instead of political. How much development effort could your organization redirect toward higher-value opportunities?

A CEO called me last month sounding defeated. He'd just spent three hours in the most frustrating board meeting of his career. "Omi, every department made compelling cases for bigger budgets. Marketing showed 2,400 leads generated. Sales demonstrated improved qualification processes. Customer Success proved 87% retention. Operations highlighted 12% cost reductions. Each presentation was excellent." "So what's the problem?" I asked. "I have no idea which department actually drives revenue. I'm making million-dollar decisions based on educated guesses." He's not alone. Harvard Business Review research reveals 68% of CEOs cannot confidently attribute revenue to specific departmental activities. From an anthropological perspective, this lack of clarity creates a negative pattern: when humans lack clear data, they create decision-making rituals that feel rational but produce random outcomes. Budget meetings turn into departmental sales pitches instead of data-driven strategy. The loudest voice wins. Historical bias rules. Relationship dynamics influence allocation more than performance data. This CEO had learned the cost the hard way. Six months earlier, he'd allocated an extra $500K to marketing based on impressive lead generation metrics. Revenue stayed flat. The real problem was in their sales process, which needed enablement investment instead. Total cost: $500K misallocated + $1.5M in missed opportunities = $2M attribution error. 😬 "I'm tired of flying blind," he told me. "Which departments should actually get the biggest budget increases?" We implemented a unified attribution framework that tracked customer journeys from first marketing touch through expansion revenue. Within 90 days, he had clear answers. • Budget allocation transformed from political compromise to strategic optimization. • Department conflicts disappeared when everyone aligned around revenue outcomes instead of activity metrics. His next board meeting lasted 45 minutes instead of three hours. Clear attribution data eliminated departmental advocacy sessions and enabled confident resource allocation. The $2M question has a data-driven answer. The technology exists. The competitive advantage belongs to CEOs who can answer with confidence. How long will you let attribution uncertainty prevent optimal resource allocation? #RevenueLeadership #SuccessStories #RevOps

👉 Where Should Your Tech & Product Investment Go? A Simple Framework ❗ I have been doing a lot of work recently on OKRs, tech resource allocation, and Tech ROI. Each of these topics leads to interesting conversations about tradeoffs in technical resources. Which projects do we deploy our tech and product teams on? In which platforms, applications, and vendors do we invest more? I have found two dimensions useful to consider. 1️⃣ The first is Revenue Generation vs. Revenue Protection. We can deploy all our resources toward revenue generation, but this may leave the business vulnerable from a compliance or cybersecurity perspective. Alternatively, we can overinvest in these latter domains and miss growth opportunities. 2️⃣ The second dimension is Short vs. Long-Term Impact. We can invest in innovation sprints and optimization of the existing tech stack, with a time to value of three months. Or we can invest in long-term tech and product transformations, possibly spanning two financial years, where the impact is greater but takes longer to realize. If you want to visualize your tech and product allocation strategy, take your project portfolio and assign each project to one of the quadrants. Then count the number of projects (or better: the investment budget of these projects) and draw a spider diagram. The resulting graph (the one in this post is just a example for a hypothetical company) will help you understand where the tech and product investment goes and if the allocation supports your business strategy. PS. The choice between short-term and long-term impact is arbitrary and at the discretion of the business. However, the split between revenue generation and protection is constrained by the minimum required investment for compliance, cybersecurity, and engineering foundation.

There’s been a lot of discussion in the CPO and product management circles I built around prioritization, specifically, how portfolios are being managed and where resources should go. One framework I recommend is the BCG matrix. It’s a simple two-by-two: product contribution to the bottom line on one axis, potential for growth on the other. If a product is low value and low growth potential, that’s a dog. Cut it, there’s no return on investing there. If it’s low value today but has high growth potential, that’s an experiment. Test, hypothesize, and validate. This is where your future stars can emerge. If it’s high value and high growth potential, that’s your star. Double down with resources, because it’s delivering now and can deliver even more. And finally, if it’s high value but low growth potential, that’s your cash cow. Maintain and support with sales and customer success, but don’t over-invest. It’s already optimized. This is the kind of thinking CPOs need for effective resource allocation: balancing today’s returns with tomorrow’s opportunities. Curious how others are approaching this, where do you see most companies getting it wrong in portfolio prioritization? #productmanagement #cpothoughts #portfoliomanagement #leadership