How to Align Digital Projects with Business Goals

A product only scales when its strategy is tied directly to business goals. Otherwise, features become noise, and teams burn months on “nice to have” work that doesn’t move revenue, retention, or efficiency. Business alignment means: ✓ Every feature connects to metrics that matter ✓ Every design decision supports growth or cost optimization ✓ The roadmap speaks the same language as the leadership team. ⸻ Example: Healthcare Case I worked with a medical SaaS platform that had a backlog of 120+ features. Developers pushed new releases every two weeks, but churn was growing and revenue wasn’t scaling. I ran a UX–Business audit: — Mapped every feature to a business KPI — Cut 40% of backlog items that had zero business impact. — Rebuilt the roadmap so that every quarter focused on one clear business lever . Result after 3 months: ✓ Customer support tickets dropped by 22% ✓ Retention improved by 15% because patients were guided better through their journey. ✓ Leadership got visibility: for the first time, the roadmap was linked directly to revenue forecasts. ⸻ Example: Fintech Case In a fintech startup, leadership struggled to raise the next round because their pitch deck showed features, not impact. I restructured the product narrative: — Aligned UX flows with financial metrics: fewer failed transactions, faster onboarding, higher account activation. — Designed a demo around money saved and money earned, not UI screenshots. — Synced the product roadmap with the CFO’s model, so investors could see cause–effect clearly. The outcome: They closed a $7M round. Investors saw a product tied to growth levers, not just design polish. ⸻ My takeaway Business alignment is not paperwork. It’s the discipline of turning UX work into financial outcomes. When I step in, I translate design into numbers the boardroom understands — retention, efficiency, growth. That’s how design stops being a cost center and becomes a driver of business decisions. ⸻ I’ve spent over 8 years in UX and 7 years in branding, marketing, and PR. What I do is not just design — I architect clarity between product and business goals. That’s why my work stabilizes teams, speeds up decision-making, and helps products grow in markets under pressure. 

𝐀𝐈 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭 𝐂𝐫𝐞𝐚𝐭𝐞𝐬 𝐀𝐜𝐭𝐢𝐯𝐢𝐭𝐲, 𝐍𝐨𝐭 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 Most organizations treat AI as a separate innovation agenda.  That generates energy, pilots, and experimentation.  But it does not always generate enterprise value. AI creates advantage only when aligned to how the business grows, operates, manages risk, and serves customers. When alignment is weak, the same patterns appear: • Interesting use cases with limited strategic impact • Fragmented AI efforts across functions • Enthusiastic teams building solutions for marginal problems The problem is not lack of creativity.  It is that innovation is not anchored to a true business priority. 7 ways to align AI strategy to business strategy: 1. Start with enterprise priorities, not AI use cases The first question should not be:  What can we do with AI? It should be:  What business outcomes matter most?  Revenue growth.  Cost efficiency. Risk reduction.  Client experience.  Decision speed. Map AI directly to those priorities. 2. Translate priorities into AI value pools Identify where AI materially improves performance streamlining document-heavy workflows, improving service productivity, strengthening risk detection, enhancing personalization, improving decision consistency. This creates a direct line between AI investment and business value. 3. Manage AI as a portfolio, not a collection of pilots Not every idea should move forward.  Prioritize based on strategic relevance, measurable impact, feasibility, data readiness, and regulatory implications. This is where AI becomes investment discipline, not experimentation theater. 4. Channel innovation toward value The goal is not to suppress innovation.  It is to direct it.  Ideas should be evaluated against real business priorities. The question shifts from: Can we build this? to Should we build this? 5. Align business, technology, and risk from the start Business leaders must own outcomes.  Technology must own delivery and scalability.  Risk and governance must be embedded early.  When these groups operate sequentially, AI slows down.  When they operate as one decision system, AI scales. 6. Measure success in business terms Wrong metrics:  pilots launched, models deployed, tools adopted. Right metrics: reduced processing time, lower operating cost, improved risk outcomes, stronger client experience. If success is not measured in business terms, alignment is weak. 7. Build the foundation that makes alignment scalable Even well-aligned AI strategy fails without trusted data, clear governance, scalable platforms, workforce readiness, and operating model discipline.  This is where organizations underestimate the work. AI strategy should not sit beside business strategy.  It should accelerate it. The firms that create durable advantage will not experiment the fastest.  They will align AI investment to business value most effectively.

"How do you carve out a digital marketplace strategy without losing sight of your core mission?" In this week's Dear Melissa, I received this question from the director of product and operations for a pharmacy e-commerce platform. They're looking to transition into a marketplace with a broader digital presence than their physical stores. So, how do we align product management and operations within this broader ecosystem? Let's dive in. First, define the lanes. Product management should focus on the digital experience. How do you showcase products in a way that feels intuitive and engaging? Who are your customers, and how can the platform meet their needs? Operations owns execution. That means making sure logistics and fulfillment work, both online and offline. When considering a digital transformation, start with the "why." Are you just trying to expand options beyond physical locations, or is there something more strategic at play, like using health tech to steer customers toward better wellness outcomes? Knowing your why shapes everything from platform design to roadmap priorities. Next, partner closely with your commercial team. Understand the product mix and the target audience to build a cohesive digital strategy. That alignment between business strategy and digital execution is what makes or breaks a marketplace transition. And don’t try to reinvent the wheel. Figure out what you want to own, and where you can borrow or buy. That clarity keeps you focused on your core strengths. Finally, always remember that alignment and communication across all teams are key. Product and Ops need to move together to build an experience that feels seamless across digital and physical touchpoints. This is a big shift, but a doable one. Stay close to your users, your team, and your "why" and let that guide every decision you make.

Over the past decade, I’ve seen digital marketing evolve from basic banner ads and email blasts to a complex ecosystem of performance media, AI-powered personalization, and hyper-targeted storytelling. But regardless of the tools or platforms, one truth remains constant: 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗶𝘀 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮𝗯𝗼𝘂𝘁 𝘀𝗲𝗹𝗹𝗶𝗻𝗴, 𝗶𝘁'𝘀 𝗮𝗯𝗼𝘂𝘁 𝗮𝗰𝗵𝗶𝗲𝘃𝗶𝗻𝗴 𝗴𝗼𝗮𝗹𝘀. Whether you're trying to: 👉 Launch a product 👉 Generate leads 👉 Build a personal brand 👉 Attract talent 👉 Drive thought leadership ...digital marketing can get you there. But only if done intentionally. Here’s what I’ve learned about making digital work for your goals: 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗲𝗻𝗱 𝗴𝗼𝗮𝗹. Don’t begin with, “We need a campaign.” Start with, “We need to increase demo bookings by 25%” or “We want to get 5,000 pre-orders.” Strategy begins with specificity. 𝗚𝗲𝘁 𝗼𝗯𝘀𝗲𝘀𝘀𝗲𝗱 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗮𝘂𝗱𝗶𝗲𝗻𝗰𝗲. Understand their needs, pain points, behavior, and how they consume content. You’re not marketing to them, you’re marketing for them. 𝗠𝗮𝗿𝗿𝘆 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗻𝘁𝗲𝘅𝘁. Great content in the wrong format or channel will fail. A 30-second vertical video might outperform a whitepaper in the right moment. Format matters. 𝗠𝗲𝗮𝘀𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝘁𝗿𝘂𝗹𝘆 𝗺𝗮𝘁𝘁𝗲𝗿𝘀. Vanity metrics (likes, impressions) can be distracting. Focus on metrics that drive action: cost per lead, conversion rate, and pipeline influence. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁𝗹𝘆. SEO for visibility, LinkedIn for B2B trust, Meta for scale, YouTube for storytelling, influencers for social proof. Choose based on your goal and not what’s trending. 𝗧𝗵𝗶𝗻𝗸 𝗳𝘂𝗻𝗻𝗲𝗹 𝗔𝗡𝗗 𝗳𝗹𝘆𝘄𝗵𝗲𝗲𝗹. Go beyond acquisition. Digital should also support retention, upselling, and advocacy. 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 > 𝗧𝗼𝗼𝗹𝘀 Tools change. Strategy endures. Don’t chase platforms, chase outcomes. Digital marketing is not magic. But when aligned with clear goals, it becomes a powerful engine of momentum. Follow #socialJJ to read more of my posts. #personalbranding

Digital transformation sounds exciting on slides. AI. Automation. Paperless. Everyone’s in a rush to “transform”. But the real work? It’s messy. I’ve seen projects stall halfway, budgets balloon or worse, teams quietly revert to old ways. Why? Because most digital transformation projects don’t start with clarity, they start with tools. Before you automate, digitise, or implement anything, untangle the mess first. Here are 5 things to do before you begin: ✅ 1. Map Reality, Not Assumptions Don’t rely on what managers think the process is. Follow the paperwork. Sit beside staff. Observe who’s emailing, printing, signing, chasing. Often, what’s in the SOP and what happens on the ground are two different worlds. Value tip: Do a shadowing session. Ask: “What’s slowing you down?” Not “What system do you want?” ✅ 2. Identify Invisible Dependencies Some approvals only happen over WhatsApp. Some people are unofficial gatekeepers. These aren’t in org charts, but they’ll derail your project if ignored. Value tip: Interview informal influencers. Understand who really moves things forward — or blocks them. ✅ 3. Decide What to Kill, Not Just What to Build Digital doesn’t mean copy-paste old ways into new tech. Don’t digitise junk. Clean it up. Kill redundant steps, outdated forms, duplicated approvals. Value tip: Run a “Keep / Kill / Automate” workshop with department heads. ✅ 4. Align the Pain With the People Transformation must solve real pain. Not just C-level goals. If end-users don’t feel the benefit, they’ll resist quietly or find shortcuts. Value tip: Prioritise based on frontline frustration. Not only what looks impressive in reports. ✅ 5. Commit to Iteration, Not Perfection Don’t spend a year building the perfect system. Go live with the 70% that works. Improve with feedback. Perfect kills momentum. Small wins build trust. Value tip: Pick one team or process. Prove it works. Then scale. . . . Digital transformation isn’t about software. It’s about unblocking humans. Start there, and your project won’t just go live. It’ll stick. Want help mapping or untangling your current workflow before you invest in tools? DM me. Let’s make the invisible visible.

We developed the AI Pyramid of Success after reviewing AI roadmaps from 12 global consulting and technology firms. This framework is structured, simple, and actionable. According to MIT, 90% of AI initiatives fail to deliver ROI. Our goal is to help business leaders reverse this statistic — shifting from 90% failure to 90% success — by addressing the root causes of failure that derail most efforts. Each week, I’ll share a short post diving into one layer of the pyramid, starting with the Strategic Foundation and working upward. STRATEGIC ALIGNMENT AI initiatives succeed only when they directly support core business objectives in areas like finance, operations, and sales/marketing, where impact is measurable and scalable. Actions to Create Success: - Clarify corporate strategy — define where the business is going and how AI can accelerate it. - Conduct executive workshops — map AI opportunities to key business goals. - Identify high-potential use cases with tangible ROI and impact. - Develop rough ROI estimates to support prioritization. - Prioritize use cases by business value, ROI potential, risk, and readiness. - Create a high-level AI roadmap with milestones for delivery. - Benchmark competitor AI strategies to ensure differentiation. The root cause of failure is that AI projects not strategically aligned are technology-driven initiatives. These projects will not sustain the support, sustainability, and funding needed to achieve the expected ROI. Many of these projects are canceled before completion. Next week, we’ll cover Data Quality and Prep — building the foundation for AI success. How aligned are your current AI initiatives with your company’s top 3 strategic goals ?

Why 95% of Tech Projects Fail — And How to Flip the Odds: A Practitioner’s View Over the past 25 years, I’ve seen the same headlines repeat with every wave of technological innovation: 95% of dotcom projects failed 95% of big data projects failed 95% of digital/advanced analytics projects failed 95% of mobile apps failed 95% of AI projects are failing The reasons? Surprisingly consistent — and rarely about the technology itself. The good news: by applying a few commonsense strategies, I’ve seen organizations flip the script — achieving 95% success and only 5% failure in tech-enabled business transformation initiatives. Here’s how: 🔹 Step 1: Align with Business Priorities Hundreds of ideas emerge from grassroots innovation — many of them good. But not all problems are worth solving. The key is to focus on ideas that tightly align with the organization’s strategic roadmap. If it’s not a top business priority, it’s unlikely to gain traction. 🔹 Step 2: Target Significant Value Creation The size of the opportunity matters. A $100M idea that spans multiple functions may seem boring but has far more organizational impact than a $100K idea that’s cool but limited to one sub-process. Set a minimum value threshold to filter out small ideas that consume resources but don’t scale. 🔹 Step 3: Secure C-Suite Sponsorship Early Too often, POCs are launched without senior leadership support. Even if successful, they stall without a champion to push through financial approvals. A simple litmus test: has a C-suite leader invested budgeted dollars in the POC? If not, pause and secure that commitment first. 🔹 Step 4: Involve the Right People If the idea matters, business leaders will appoint a product owner and relevant SMEs. But don’t forget change management — often overlooked in tech-driven projects. Without it, even the best solutions face resistance and poor adoption. 🔹 Step 5: Choose Wisely — POC vs. Pilot POCs are for technical feasibility. Pilots deliver working products with real user feedback. A successful pilot builds momentum and provides a financial benchmark for scaling. Know the difference — and choose the right path based on your goals. 🔹 Step 6: Communicate Success and Build Excitement Even the best pilot can fizzle out if no one knows it succeeded. Celebrate wins, share metrics, and tell the story of impact. When the organization sees tangible results and hears enthusiastic feedback from users, it builds momentum and creates pull for scaling. Excitement is contagious — use it to fuel adoption. Short AI videos with right scripts can do wonders and creates viral moments that helps build support at all levels of the organization. Please share your views

I spent years navigating the complexities of digital transformation. Here’s the shortcut to save you countless hours! Digital transformation isn’t just about adopting new technology. It’s about changing how we think and operate as an organization. I remember back when I was at Microsoft, leading a team to drive significant change in our sales approach. We faced numerous challenges:   Resistance from teams stuck in their old ways. Difficulty aligning technology with business goals. The ever‑looming pressure of competition driving innovation faster than we could keep up!  But here’s what I learned through trial and error—and a few sleepless nights:   Start with culture: Technology won’t solve your problems if your teams aren’t on board. Embrace a culture that values learning and adaptability. Get everyone involved early in the process!   Set clear objectives: Identify what success looks like for your organization. Are you looking for efficiency? Increased revenue? Improved customer satisfaction? Define it clearly, so everyone is aligned!   Leverage data: Don’t just collect data—use it! Analyze where you stand, identify gaps, and make informed decisions based on real insights rather than gut feelings alone!   Pilot small initiatives: Before rolling out changes company‑wide, test them out on a smaller scale first! This allows you to gather feedback and make adjustments without disrupting everything at once!   Engage stakeholders continuously: Keep communication lines open with all stakeholders throughout the journey—this builds trust and mitigates resistance down the line!   Iterate constantly: Digital transformation is not a one‑time project; it’s an ongoing journey that requires continual assessment and iteration of processes to stay relevant in today’s fast‑paced market environment! By following these steps, I managed to turn initial skepticism into excitement around our digital initiatives. The result? A much more agile team ready to tackle future challenges head‑on! If you're serious about transforming your organization, embrace these principles—you'll thank yourself later!

Aligning design with business goals requires business speak. Most business workflows aren’t built to assess the value design brings. Business has its own language. Design needs a measured approach to correlate value. We know design decisions aren’t just about creativity—they directly impact business success when guided by good processes and metrics. That’s the perspective we’ve embraced in our open, data-informed framework Glare. From our experience working with customers, several key factors must be considered to demonstrate the value of design decisions. → Design as a business driver Design decisions can influence workflows, customer interactions, and ultimately business results, proving that good design is aesthetic AND strategic. It requires analytical skills and patience to bring stakeholders along for the journey. This is what people mean by having a “seat at the table.” Example: Redesigning a mobile app checkout flow reduces cart abandonment by 5% and boosts sales by 10%, showing that design drives user satisfaction and business growth. → Metrics bridge the gap UX metrics act as a common language between design and business teams. They ensure that creative efforts are measurable and directly tied to business objectives. The goal is to find a correlation between the product and business metrics, typically lagging indicators. UX metrics are leading. Example: Task completion rates increase by 10%, and user satisfaction scores increase by 20%, showing that the checkout redesign reduces drop-offs and increases conversions, aligning design improvements with business goals. → Continuous Feedback Loop The process establishes a feedback loop that informs better decision-making and ensures continuous improvement by correlating design concepts and UX metrics with business goals. Design KPI trees can make this easier to manage.  Vitaly Friedman has a lot of great content on this topic. Example: Testing the checkout flow refines the design and boosts average order value by 15%, showing how continuous iteration improves user experience and revenue. → Results Matter Design can be validated not just by intuition or creativity but also by its ability to deliver tangible business outcomes, such as increased revenue, customer satisfaction, or improved usability. Example: The redesigned checkout delivers measurable results: 25% fewer support tickets and a 10-point NPS increase, validating the design’s impact on customer satisfaction and business success. (don’t shoot me for using NPS, it’s still business speak). Using an approach like this highlights the strategic value of design in achieving business outcomes. This allows design teams to communicate their impact in business speak that resonates with executives and stakeholders. The goal is to shift the perception of design from a cost center to a growth driver.

𝗠𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝘁𝗵𝗶𝗻𝗸 𝘁𝗵𝗲 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝗶𝘀 𝘁𝗵𝗲 𝗽𝗹𝗮𝗻. ❌ 𝗪𝗿𝗼𝗻𝗴. 𝗜𝘁’𝘀 𝘁𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝘃𝗶𝘀𝗶𝗼𝗻. The roadmap is the 𝗯𝗿𝗶𝗱𝗴𝗲 between 𝘸𝘩𝘺 𝘸𝘦 𝘦𝘹𝘪𝘴𝘵 and 𝘩𝘰𝘸 𝘸𝘦’𝘭𝘭 𝘨𝘦𝘵 𝘵𝘩𝘦𝘳𝘦. Not execution, but 𝗵𝗼𝘄 𝗮𝗻𝗱 𝘄𝗵𝗲𝗻 we move toward the OKRs. When I build a roadmap for a company, I start here: → Every initiative ties back to the 𝗺𝗶𝘀𝘀𝗶𝗼𝗻, why it matters. → Every product or project supports the 𝘃𝗶𝘀𝗶𝗼𝗻, where we’re headed. → Every priority advances the 𝗢𝗞𝗥𝘀, what we’ve committed to achieve. That’s how strategy begins to move. It’s how motion becomes measurable. It’s not a Gantt chart. It’s a translation layer between 𝗽𝘂𝗿𝗽𝗼𝘀𝗲 𝗮𝗻𝗱 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀. That same logic doesn’t stop at the company level. It carries into how 𝘆𝗼𝘂, as a Project Manager, operate every day. When a 𝗣𝗠 operates inside that roadmap, the same rules apply. But inside a different engine. 𝗬𝗼𝘂𝗿 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝗶𝘀 𝘆𝗼𝘂𝗿 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗹𝗲𝗮𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗿𝗼𝗼𝗺. → How your team’s work translates back to business goals. → How your updates connect 𝘸𝘩𝘢𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘦𝘥 → 𝘸𝘩𝘺 𝘪𝘵 𝘮𝘢𝘵𝘵𝘦𝘳𝘦𝘥 → 𝘸𝘩𝘢𝘵’𝘴 𝘯𝘦𝘹𝘵. → How your 1:1s surface insights that move strategy forward. → How your relationships create the trust that opens doors. Just like the business roadmap, you build a rhythm, for updates, learning, and course correction. Because strategy doesn’t live in a slide deck. It lives in how you operate day to day. Both roadmaps, the company’s and the PM’s, start with alignment, not activity. Both translate strategy into motion. And both define how fast the engine can really move. Next time you’re asked to “execute the plan,” don’t start with dates. Start with direction. Because strategy doesn’t move until someone connects the 𝘸𝘩𝘺 behind leadership’s vision to the 𝘩𝘰𝘸 that brings it to life. And execution without alignment isn’t progress. You’re not just moving projects. You’re moving purpose. Agree? ____ ♻️ Repost to help others tie strategy to progress 🔔 Follow Elizabeth Dworkin for more on strategic operations and strategic visibility.