Better forecasting accuracy is achievable – Here’s how

This article was originally published in Sales & Marketing Management.
The ability to accurately forecast results and behaviors has always been fundamental to business success. If a company can predict future outcomes, it will be able to leverage its skills and opportunities to increase revenue and make progress against its goals.
Greater predictability leads to more effective budgeting and planning so that leaders and teams can make decisions with greater confidence. For instance, if a company can accurately forecast the response of different demographics to its ongoing sales campaign, it can dynamically allocate resources to capitalize on these insights. This adaptive approach allows the business to optimize the performance of current campaigns and fine-tune the services offered, potentially opening pathways to introduce other products.
From a weekly to a quarterly to an annual scale, from market trends to supply chain visibility, predictions can help teams plan for success. This is always the case in business, but it is even more important today, as greater agility is needed due to changing circumstances.
What stands in the way of accurate sales forecasting?
Improving the accuracy of sales forecasts and building predictable revenue are top-of-mind challenges for chief revenue officers, and this pressure filters through the organization. So, what stands in the way? Why can’t teams find the predictability they need?Often, the problem comes from inaccurate assessments of deals. Sellers often do not correctly assess the size and the timing of the deals they have entered into their CRMs. They may not have adequately understood their clients’ needs or budgets.Another problem is misunderstanding signing authority. Often, a seller will misjudge the level of authority they need to close a deal. They’ve been talking to a mid-level leader who seems eager, not realizing that they will need stakeholder alignment and signoff from a senior executive in order to close. They may also need to get multiple peer executives to sign off on the purchase if the budget is not clearly owned by one buyer.A third issue that stands in the way of accurate forecasting is “super seller syndrome.”
How super seller syndrome hinders predictability
Super seller syndrome happens when sales leaders are promoted into their new roles not because they are great coaches but because they are themselves high achievers as sellers. The company needs sales, but the super seller may not have learned how to motivate, engage, and cultivate the introspection needed to effectively drive the team’s success.A team that prioritizes super sellers for promotions tends to suffer further down the road. Talent development stalls because leaders focus on selling rather than coaching, leading to a diminishment of other crucial skills like account planning, customer experience, and relationship management. Average sellers become disconnected, and trust disappears.
Make more accurate sales forecasts
People need strategies to create more predictability in their processes. This is especially true for sales teams and for the super sellers attempting to guide them.
Leverage AI for real-time coaching
AI is here for you now. It is a tool with broad applications and is getting safer and more advanced all the time. Sales teams can use AI in coaching and training situations to give sellers personalized, data-driven advice in a way that feels nonjudgmental and actionable. The advantages of real-time feedback are many. It can help leaders make their coaching more nuanced, help sellers gain control over deals, and turn customer insights into continuous learning opportunities.
Turn super sellers into super coaches
Selling skills don’t always translate into sales leadership skills. You can create greater forecasting accuracy by empowering leaders to develop the sales talent in their teams. This will include sales coaching, but it will also extend to communication skills, relationship management, the ability to use AI tools and integrate them into a CRM routine, and more.
Implement an opportunity summary sheet
A custom opportunity summary sheet can help sellers review and assess large and complex deals more accurately. Include technical, architectural, and service elements of the deal in the summary, and run this by the pre-sales team. Every deal at the proposal stage must then be examined by leadership to validate size, timing, negotiating points, and stakeholder signoff.
Build a culture of practice
Doing something more often creates a greater level of accuracy and predictability. A golfer who practices putting every day will develop an accurate sense of where the pin is and how hard she’s hitting the ball toward it. Practice the different sales stages — discovery, qualifying, negotiating — to give sellers opportunities to hone their skills in an accessible, low-pressure way.
Reward early, active CRM use
In some organizations, sellers wait until very late in the process to put deals into their CRMs. This may be due to an expectation of harsh feedback from leaders or an attempt to avoid the appearance of failure. A better way is to examine and encourage pipeline health at all sales stages. Sellers should learn lessons from losses, and the company needs to accept that if it is not losing, sellers are not taking necessary risks to grow the business.By addressing the factors hindering predictability, leaders can guide their teams toward success with visibility, clarity and purpose. The world is shifting as we speak. However, if teams can develop a culture of adaptability and togetherness, they will be able to spot the way forward.
Related content
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Technology choices are often made under pressure - pressure to modernize, to respond to shifting client expectations, to demonstrate progress, or to keep pace with rapid advances in AI. In those moments, even experienced leadership teams can fall into familiar traps: over-estimating how differentiated a capability will remain, under-estimating the organizational cost of sustaining it, and committing earlier than the strategy or operating model can realistically support.
After decades of working with leaders through digital and technology-enabled transformations, I’ve seen these dynamics play out again and again. The issue is rarely the quality of the technology itself. It’s the timing of commitment, and how quickly an early decision hardens into something far harder to unwind than anyone intended.
What has changed in today’s AI-accelerated environment is not the nature of these traps, but the margin for error. It has narrowed dramatically.
For small and mid-sized organizations, the consequences are immediate. You don't have specialist teams running parallel experiments or long runways to course correct. A single bad platform decision can absorb scarce capital, distort operating models, and take years to unwind just as the market shifts again.
AI intensified this tension. It is wildly over-hyped as a silver bullet and quietly under-estimated as a structural disruptor. Both positions are dangerous. AI won’t magically fix broken processes or weak strategy, but it will change the economics of how work gets done and where value accrues.
When leaders ask how to approach digital platforms, AI adoption, or operating model design, four questions consistently matter more than the technology itself.
- What specific market problem does this solve, and what is it worth?
- Is this capability genuinely unique, or is it rapidly becoming commoditized?
- What is the true total cost - not just to build, but to run and evolve over time?
- What is the current pace of innovation for this niche?
For many leadership teams, answering these questions leads to the same strategic posture. Move quickly today while preserving options for tomorrow. Not as doctrine, but as a way of staying adaptive without mistaking early commitment for strategic clarity.
Why build versus buy is the wrong starting point
One of the most common traps organizations fall into is treating digital strategy as a series of isolated build-vs-buy decisions. That framing is too narrow, and it usually arrives too late.
A more powerful question is this. How do we preserve optionality as the landscape continues to evolve? Technology decisions often become a proxy for deeper organizational challenges. Following acquisitions or periods of rapid change, pressure frequently surfaces at the front line. Sales teams respond to client feedback. Delivery teams push for speed. Leaders look for visible progress.
In these moments, technology becomes the focal point for action. Not because it is the root problem, but because it is tangible.
The real risk emerges operationally. Poorly sequenced transitions, disruption to the core business, and value that proves smaller or shorter-lived than anticipated. Teams become locked into delivery paths that no longer make commercial sense, while underlying system assumptions remain unchanged.
The issue is rarely technical. It is temporal.
Optimizing for short-term optics, particularly client-facing signals of progress, often comes at the expense of longer-term adaptability. A cleaner interface over an ageing platform may buy temporary parity, but it can also delay the more important work of rethinking what is possible in the near and medium term.
Conservatism often shows up quietly here. Not as risk aversion, but as a preference for extending the familiar rather than exploring what could fundamentally change.
Licensing as a way to buy time and insight
In fast-moving areas such as AI orchestration, many organizations are choosing to license capability rather than build it internally. This is not because licensing is perfect. It rarely is. It introduces constraints and trade-offs. But it was fast. And more importantly, it acknowledged reality.
The pace of change in this space is such that what looks like a good architectural decision today may be actively unhelpful in twelve months. Licensing allowed us to operate right at the edge of what we actually understood at the time - without pretending we knew where the market would land six or twelve months later.
Licensing should not be seen as a lack of ambition. It is often a way of buying time, learning cheaply, and avoiding premature commitment. Building too early doesn’t make you visionary, often it just makes you rigid.
AI is neither a silver bullet nor a feature
Coaching is a useful microcosm of the broader AI debate.
Great AI coaching that is designed with intent and grounded in real coaching methodology can genuinely augment the experience and extend impact. The market is saturated with AI-enabled coaching tools and what is especially disappointing is that many are thin layers of prompts wrapped around a large language model. They are responsive, polite, and superficially impressive - and they largely miss the point.
Effective coaching isn’t about constant responsiveness. It’s about clarity. It’s about bringing experience, structure, credibility, and connection to moments where someone is stuck.
At the other extreme, coaches themselves are often deeply traditional. A heavy pen, a leather-bound notebook, and a Royal Copenhagen mug of coffee are far more likely to be sitting on the desk than the latest GPT or Gemini model.
That conservatism is understandable - coaching is built on trust, presence, and human connection - but it’s increasingly misaligned with how scale and impact are actually created.
The real opportunity for AI is not to replace human work with a chat interface. It is to codify what actually works. The decision points, frameworks, insights, and moments that drive behavior change. AI can then be used to augment and extend that value at scale.
A polished interface over generic capability is not enough. If AI does not strengthen the core value of the work, it is theatre, not transformation.
What this means for leaders
Across all of these examples, the same pattern shows up.
The hardest decisions are rarely about capability, they are about timing, alignment, and conviction.
Building from scratch only makes sense when you can clearly articulate:
- What you believe that the market does not
- Why that belief creates defensible value
- Why you’re willing to concentrate risk behind it
Clear vision scales extraordinarily well when it’s tightly held. The success of narrow, focused Silicon Valley start-ups is testament to that.
Larger organizations often carry a broader set of commitments. That complexity increases when depth of expertise is spread across functions, and even more so when sales teams have significant autonomy at the point of sale. Alignment becomes harder not because people are wrong, but because too many partial truths are competing at once.
In these environments, strategic clarity, not headcount or spend, creates advantage.
This is why many leadership teams choose to license early. Not because building is wrong, but because most organizations have not yet earned the right to build.

This article was originally publish on Rotman Management
IN OUR CONSULTING WORK with teams at all levels—especially senior leadership—my colleagues and I have noticed teams grappling with an insidious challenge: a lack of effective prioritization. When everything is labeled a priority, nothing truly is. Employees feel crushed under the weight of competing demands and the relentless urgency to deliver on multiple fronts. Requests for prioritization stem from both a lack of focused direction and the challenge of efficiently fulfilling an overwhelming volume of work. Over time, this creates a toxic cycle of burnout, inefficiency and dissatisfaction.
The instinctive response to this issue is to streamline, reduce the number of initiatives, and focus. While this is a step in the right direction, it doesn’t fully address the problem. Prioritization isn’t just about whittling down a to-do list or ranking activities by importance and urgency on an Eisenhower Decision Matrix; it also requires reshaping how we approach work more productively.
In our work, we have found that three critical factors lie at the heart of solving prioritization challenges: tasks, tracking and trust. Addressing these dimensions holistically can start to address the root causes of feeling overwhelmed and lay the foundation for sustainable productivity. Let’s take a closer look at each.

You’re buckling in for an overseas flight in a brand-new Boeing 777. The pilot comes on the PA: “Ah, ladies and gentlemen, our flight time today will be six and a half hours at a cruising altitude of 33,000 feet. And I should mention that this is the first time I have ever flown a 777. Wish me luck.”
Before setting foot in the real world, pilots, military personnel and disaster response teams use intense simulations to learn how to respond to high-intensity challenges.Why should we place corporate leaders and their teams in situations without first giving them a chance to try things out? The risks are huge — new strategy investments can run into the hundreds of millions of dollars. BTS offers a better way to turn strategy into action: customized business simulations.
‘Now I Know What it’s Like to be CEO’
A customized business simulation of your enterprise, business unit or process, using real-world competitive dynamics, places leaders in a context where they step out of their normal day-to-day roles and gain exposure to the big picture. Participants make decisions in a risk-free environment, allowing them to experience critical interdependencies, execution best practices and the levers they can use to optimize their company’s key performance indicators. It takes the concept of a strategy and makes it personal, giving each individual the chance to see the direct impacts of their actions and the role they play in strategy execution.
Leading corporations are increasingly turning to business simulations to help build strategic alignment and execution capability when faced with the following business challenges:
- Key performance objective and new strategy implementation.
- Accelerating strategy execution and innovation.
- Improving business acumen and financial decision making.
- Transforming sales programs into business results accelerators.
- Leadership development focused on front-line execution.
- Implementing culture change as tied to strategy alignment.
- Modeling complex value chains for collaborative cost elimination.
- Merger integration.
Within minutes of being placed in a business simulation, users are grappling with issues and decisions that they must make — now. A year gets compressed into a day or less. Competition among teams spurs engagement, invention and discovery.
The Business Simulation Continuum: Customize to Fit Your Needs
Simulations have a broad range of applications, from building deep strategic alignment to developing execution capability. The more customized the simulation, the more experience participants can bring back to the job in execution and results. Think about it: why design a learning experience around generic competency models or broad definitions of success when the point is to improve within your business context? When you instead simulate what “great” looks like for your organization, you exponentially increase the efficacy of your program.
10 Elements of Highly Effective Business Simulations
With 30 years of experience building and implementing highly customized simulations for Fortune 500 companies, BTS has developed the 10 critical elements of an effective business simulation:
- Highly realistic with points of realism targeted to drive experiential learning.
- Dynamically competitive with decisions and results impacted by peers’ decisions in an intense, yet fun, environment.
- Illustrative, not prescriptive or deterministic, with a focus on new ways of thinking.
- Catalyzes discussion of critical issues with learning coming from discussion within teams and among individuals.
- Business-relevant feedback, a mechanism to relate the simulation experience directly back to the company’s business and key strategic priorities.
- Delivered with excellence : High levels of quality and inclusion of such design elements as group discussion, humor, coaching and competition that make the experience highly interactive, intriguing, emotional, fun, and satisfying.
- User driven: Progress through the business simulation experience is controlled by participants and accommodates a variety of learning and work styles.
- Designed for a specific target audience, level and business need.
- Outcome focused , so that changes in mindset lead to concrete actions.
- Enables and builds community: Interpersonal networks are created and extended through chat rooms, threaded discussions and issue-focused e-mail groups; participants support and share with peers.
Better Results, Faster
Well-designed business simulations are proven to significantly accelerate the time to value of corporate initiatives. A new strategy can be delivered to a global workforce and execution capability can be developed quickly, consistently and cost-effectively. It’s made personal, so that back on the job, participants own the new strategy and share their enthusiasm and commitment. This in turn yields tangible results; according to a research report conducted by the Economist Intelligence Unit and sponsored by BTS, titled “Mindsets: Gaining Buy-In to Strategy,” the majority of firms struggle to achieve buy-in to strategy, but those that personalize strategy throughout their organization significantly outperform their peers in terms of profitability, revenue growth and market share.
Business Simulations: Even More Powerful in Combination
Comprehensive deployment of business simulation and experiential learning programs combines live and online experiences. The deepest alignment, mindset shift and capability building takes place over time through a series of well-designed activities. Maximize impact by linking engagement and skill building to organizational objectives and by involving leadership throughout the process.
Putting Business Simulations to Work
Simulations drive strategic alignment, sales force transformation, and business acumen, financial acumen and leadership development, among other areas. A successful experiential learning program cements strategic alignment and builds execution capability across the entire organization, turning strategy into action. Results can be measured in team effectiveness, company alignment, revenue growth and share price.
Learn more about business simulations
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