In today’s fast-paced business environment, decision-making tools are becoming increasingly vital. We sat down with Milena Traikovich, a renowned expert in performance optimization and lead generation, to delve into the innovative realm of demand generation and forecasting with What’s Likely.
Can you tell us about your background and how it led to the creation of What’s Likely?
My journey began in journalism, where the art of storytelling and uncovering truths sharpened my analytical skills. Transitioning to strategic consulting, I utilized these skills to understand market trends and human behavior deeply. This foundation naturally led me to develop What’s Likely, a tool that combines storytelling, strategy, and data to predict future outcomes effectively.
What inspired you to develop What’s Likely, and how did you identify the need for such a tool?
Working with various clients, I noticed that decision-making often relied on instinct combined with a few data points, leaving a gap in truly understanding probable outcomes. I wanted to create a tool grounded in proven patterns and data-driven forecasts to bridge this gap and enhance strategic decision-making across industries.
Could you explain how What’s Likely combines human expertise, behavioral science, and AI to generate forecasts?
The magic lies in merging human pattern recognition with behavioral science insights, supported by AI for data analysis. Human experts interpret behavioral models to inform AI algorithms, allowing for forecasts that reflect true-to-life decision-making scenarios beyond mere data crunching.
How does What’s Likely differ from other decision-making tools or traditional consulting services?
Many tools offer general insights or rely heavily on AI, but What’s Likely emphasizes scenario-specific clarity. It doesn’t generalize but instead provides precision by integrating human expertise, behavioral cues, and technology for paradigmatic insights—rather than just consulting opinions or raw data.
Can you provide an example of a typical forecast produced by What’s Likely?
A typical forecast involves comparing options with specific probabilities. For instance, deciding on a strategic business partnership might show Option A with a 42.3% likelihood of success and Option B at 36.8%. This clarity in prediction removes ambiguity from decision-making processes.
What makes What’s Likely unique in its ability to deliver clear, scenario-specific forecasts?
Its uniqueness comes from the blend of investigative thoroughness, pattern recognition, and AI’s computational power to produce highly nuanced, actionable insights that aren’t just theoretically sound but also practically insightful for decision-makers.
How did your experience as a journalist and strategic consultant influence the development of What’s Likely?
Journalism taught me the importance of accuracy and clarity, while consulting honed my skills in strategic thinking. Together, they shaped the creation of a tool that isn’t just about predictions but accurate, scenario-driven decision support to inform and guide strategic paths.
What challenges did you face while stress-testing the model with behavioral experts?
One of the biggest challenges was ensuring that the AI models accurately reflected real-world behaviors. Behavioral complexities often defy straightforward analysis, so iterative testing and refinement were vital to ensure that the predictions were reliable and could withstand practical scrutiny.
What feedback have you received from early users of What’s Likely, and how has it impacted their decision-making?
Users have shared that the tool has been transformative in revealing non-obvious insights and validating bold decisions. Businesses report increased confidence in making informed choices, knowing they’re supported by data that reveals probabilities rather than just trends.
Are there any surprising insights that your clients have discovered using What’s Likely?
Absolutely. Clients have often been surprised to learn that strategies they dismissed as too risky were actually favorable. Conversely, some high-confidence plans were found to be less advantageous, allowing for strategic pivots that avoided potential pitfalls.
How does What’s Likely fit into your other ventures, such as Archer’s Bow Media & Marketing and ABM Strategies?
Archer’s Bow delivers the message and ABM lays the strategic foundation. What’s Likely complements these by acting as the crucial calibration step, ensuring that messages and strategies are aligned with high-probability outcomes before implementation.
In what ways does What’s Likely serve as the “calibration layer” in decision-making?
It acts as a final quality check, enhancing the reliability of decisions by aligning them with informed, likelihood-based predictions, ensuring that the strategies and messages crafted have the greatest potential for success once executed.
How does your pricing model work, and how does it scale with the complexity of the forecasts?
The model is tiered based on the complexity and scope of the forecasts required. This ensures accessibility for a range of organizations, from startups needing basic projections to large companies requiring comprehensive strategic support.
Who are your target clients, and what kinds of decisions can What’s Likely assist with?
Our clients span from entrepreneurs to nonprofit leaders and individuals facing pivotal personal or business decisions. We assist in optimizing choices related to partnerships, market positioning, and even personal career moves, providing clarity where it counts most.
What are your future plans for What’s Likely, and how do you see it evolving in the coming years?
We’re looking at expanding our data sources and AI capabilities, allowing for deeper insights and more specific forecasts. The goal is to continually refine our approach to serve a broader spectrum of industries and become a mainstay in strategic decision-making.
Where can interested individuals or organizations find more information about What’s Likely?
More information is readily available at WhatsLikely.io, where potential clients can discover more about our methodologies and the unique benefits of our forecasts.
Do you have any advice for our readers?
Embrace informed decision-making. In a world overflowing with data, clarity comes from knowing not just the facts but understanding their implications. Use tools like What’s Likely to differentiate between mere possibilities and true probabilities.
