How It Works

Retail

Oliver H.

Customer Insights Manager

I work for an electronics retail brand with both an online store and physical stores across Europe. My role involves collecting and interpreting customer data to help shape our brand strategies. At the moment, I'm focused on helping the brand determine what promotional content resonates best with our customers, both online and in-store.

Objectives:

I want to leverage data to identify the types of promotions that most effectively drive store visits and online purchases. My goal is to use these insights to guide our future marketing efforts, helping to fine-tune our promotional messaging and increase customer engagement.

Success means:

Success for me means greater customer engagement with our promotional content, indicated by metrics like click-through rates (CTR) on emails, social media engagement, and subsequent store or online visits. Ultimately, I’m looking for a clear correlation between our promotional strategies and higher engagement, which should translate to increased sales.

Data files:

Promotional data

Sales data

Customer data

Footfall data

Customer feedback

Customer engagement data

Proposal

We understand that you're looking for clarity on which promotions have the greatest impact. Expand this section to read about our three-layer approach - combining data analysis, psychological insights and forward-thinking advice from a recognised industry expert.

Data science

Promotional performance analysis

Map the customer journey from first engagement all the way to purchase, so we can see how each channel drives conversions.

Include key metrics (e.g. click-through rates, social media engagement) to highlight what's working best.

Assess how online promotions might boost in-store visits, and whether in-store promotions can drive online sales.

Examine how each promotion type performs across your channels (online and in-store).

You'll get a clear, data-backed picture of which promotions resonate best and drive the most in-store and online purchases, allowing you to guide promotional messaging and align future marketing efforts based on proven success.

Psychology

Insights into customer behaviour

Use psychographic profiling to understand why customers respond to certain promotions

Review brand perception to see how it influences the success of your campaigns.

Explore customer feedback and behavioural patterns to identify the emotional and motivational triggers that lead to action.

The insight of understanding not only what promotions work best, but also 'why' certain promotions work better than others, can help you fine-tune your promotional messages more effectively and focus your efforts on connecting with customers on an emotional level, leading to stronger engagement and higher conversion rates.

Expertise

Future-proofy our strategy

Collaborate with a respected thought leader in the consumer electronics industry to review the results of the promotional performance analysis (and customer behaviour insights).

Provide insight into emerging trends and digital strategies that can help you shape your next generation of promotions.

Share actionable recommendations on how to capitalise on the evolving preferences of future customers.

By adding a thought leader's perspective, you broaden your own to future-proof your promotions, marketing and brand strategy, and effectively position and capitalise on emerging trends and customer demand.

Conclusion

By combining data analysis, behavioural psychology, and expert guidance, we’ll help you uncover which promotional approaches have the most significant impact on engagement and conversion. Our goal is to equip you with evidence-based, human-centric insights and advice to help you shape a strategy that resonates with your audience, drives meaningful engagement and keeps your brand ahead of the competition.

Lucía G.

Inventory Manager

I am an Inventory Manager for a regional fashion retailer with 14 physical stores and an online store. I am responsible for overseeing stock levels across locations and ensuring that we maintain the right amount of inventory, especially during high-demand periods. While I have a good understanding of seasonal trends, I’m looking to use data to refine my approach and improve our stock availability.

Objectives:

To improve our seasonal inventory planning by using data to identify high-demand product categories. I want to anticipate which products might sell out quickly and which items we may be at risk of overstocking. With better insights, I believe I can make more strategic decisions on what we order and how we distribute stock—ultimately reducing shortages and avoiding excess.

Success means:

Success, for me, means reducing stockouts for popular items and minimising excess stock for slower-moving products. I’ll measure this through key metrics like stock-out rates, turnover rates, and inventory levels that align with our sales forecasts.

Data files:

Sales data

Product data

Supplier data

Customer data

Online activity data

Promotional calendar

Customer feedback

Proposal

We understand your top priority is optimal stock allocation that meets customer demand—without either running out of key items or tying up capital in excess inventory. Expand this section to read about our two-layered approach, bringing together data science and psychological insights to help you reach your goals. In this case, we believe no external expert is needed, as you are best positioned to put these insights into action.

Professional services

Marek P.

Client Success Director

I work for a fintech company that provides wealth management solutions for high net worth individuals. My role is to ensure that our client success team delivers a seamless and satisfying experience, from onboarding to ongoing requests. Recently, we have been experiencing a backlog of client onboarding and service requests, which has slowed our response times and limited our capacity to serve new clients, while maintaining our desired quality.

Objectives:

I want to use data to better understand the root causes of our backlog, identify process improvements, and enhance our team’s efficiency. My goal is to streamline onboarding and request handling, reduce client wait times, and ensure that our client success team can focus on delivering excellent client experience rather than managing delays.

Success means:

A measurable reduction in backlog, shorter onboarding and request processing times, and improved client satisfaction. Key metrics include reduced average time to resolution, increased team capacity for new clients, and higher satisfaction ratings from clients regarding our service responsiveness.

Data files:

CRM data

Client feedback data

Team feedback data

Client onboarding data

Team performance metrics

Proposal

We understand your priority: to streamline client onboarding and service handling so you can deliver an outstanding client experience. Expand this section to explore our three-layer approach, combining data science, psychological insights, and an expert perspective.

Data science

Process efficiency analysis

Map and analyse current onboarding and service request workflows to identify bottlenecks and delays.

Perform a time-series analysis to identify where delays occur most frequently.

Analyse team performance metrics and examine team capacity to pinpoint workload imbalances and underutilised resources.

Use predictive analytics to forecast potential peak periods so you can plan ahead.

These insights focus on identifying the root causes of backlogs and provide a factual basis on which you can streamline operations, optimise resource allocation, reduce turnaround times and increase team capacity for new clients while maintaining service quality.

Psychology

Insights into client and team dynamics

Analyse common delays in client onboarding or service requests.

Explore client satisfaction, and map how perceptions of responsiveness impact overall client experience.

Assess team behavioural patterns and feedback to identify sentiment, stress points, motivational drivers, and collaboration gaps.

Examine how these factors influence team efficiency and task management.

These insights help you understand not only what is happening but also why. By considering internal team dynamics and client expectations, you can optimise your processes to better match both client demands and your team’s strengths.

Expertise

Operational efficiency

Collaborate with an operational expert who specialises in identifying efficiency gains and automation opportunities.

Evaluate the process efficiency analysis (and psychological insights), and provide actionable recommendations on process improvements, optimal resource allocation and training to increase team capabilities.

Advice on relevant technology to automate repetitive or labour-intensive tasks.

Gain a second perspective and best practices on how to use the insights we've uncovered to reduce backlogs and effectively streamline the client onboarding process going forward.

Conclusion

By combining data science with an understanding of the human elements at play—both in your team and among your clients—you’ll have a solid framework for tackling backlogs and delivering an excellent client experience. With added expert advice, you can confidently implement improvements or innovations that increase efficiency, foster a supportive work environment, and keep clients impressed by your swift, personalised attention.

Cécile L.

Business Development Director

I lead business development at a marketing firm specialising in strategic advertising for the technology sector. My responsibilities include identifying new business opportunities, creating client acquisition strategies, and supporting revenue growth through targeted engagement. Right now, I’m particularly focused on using data to better understand emerging client needs and strengthen our competitive positioning.

Objectives:

I want to use data to map client engagement trends and analyse market demand for our services. My aim is to develop a clear picture of which advertising services are experiencing the most growth, what potential clients are prioritising and how we can refine our offering to differentiate ourselves. This will help us focus our business development efforts where demand is greatest and position our firm more effectively in the technology advertising market.

Success means:

Success for me means developing a strategy that leverages insights on client behaviour and market demand, increasing lead generation effectiveness and driving targeted growth in high-demand service areas. Metrics include improved conversion rates for client engagement, increased client retention, and a more refined value proposition aligned with market trends.

Data files:

Client engagement data

Market data

Client feedback data

Sales data

Competitor analysis data

Website analytics

Proposal

We understand that your priority is to improve your business development approach by identifying where the market is going— and ensuring that your services meet client needs. Expand this section to explore our three-layed solution, combining robust data analysis, psychological insights, and guidance from an industry thought leader.

Data science

Market demand analysis

Examine historical client interactions to identify engagement trends across different services and channels.

Analyse industry data to determine which advertising services are experiencing the most growth and demand.

Evaluate your firm’s market positioning relative to key competitors to reveal untapped opportunities.

The analysis provides a clear picture of business development opportunities where demand is highest. These insights will help you shape your strategy, refine your value proposition, improve client retention and increase lead generation effectiveness.

Psychology

Insights into client behaviour

Segment potential and current clients by preferences to understand their underlying decision drivers.

Identifying the emotional drivers that influence client decision-making.

Explore how clients perceive value in your services and what sets your firm apart from competitors.

These insights focus on deepening your understanding of client behaviour, helping you to refine your value proposition and competitive positioning, create more compelling engagement strategies by addressing client priorities more effectively, leading to improved conversion rates and increased client retention.

Expertise

Future perspective

We collaborate with an recognised thought leader, who can provide in-depth knowledge and vision of current and future trends and needs within the technology sector.

Provide advice on high-potential market opportunities, emerging client needs, and innovative ways to differentiate your firm.

Provide actionable recommendations on adapting and future-proofing your business development approach to ensure you are positioning your firm to meet evolving client needs.

By adding a forward-looking perspective, your development strategy not only address current client demands but also considers and prepares your firm for what’s next and how to effectively capitalise on emerging trends and demand.

Conclusion

By combining data analysis and an understanding of the human elements influencing client decisions—and then reinforcing these insights with a forward-looking perspective—you will have a clear picture to develop a strategy that will help you identify and seize the most promising growth opportunities, refine your value proposition and position your firm as the go-to provider of strategic advertising services for the technology sector.

Hospitality

Katarina J.

Guest Experience Manager

I manage the guest experience at a luxury resort, ensuring high standards of service and memorable stays. With the luxury market becoming increasingly competitive, I'm focused on understanding guest expectations—especially for our high-value guests—and personalising services that lead to glowing reviews and repeat visits.

Objectives:

I want to use data to analyse guest feedback and uncover the key factors that influence satisfaction. This will help me create a tailored guest experience programme that not only responds to frequent feedback themes but also anticipates guest needs, increasing loyalty and positive reviews.

Success means:

I’ll consider it a success if we see higher satisfaction scores, more positive reviews, and increased repeat bookings from our most valuable guests. Metrics like revenue per available room (RevPAR), net promoter score (NPS), guest satisfaction ratings, and retention rates will confirm whether our improvements are making a real difference.

Data files:

Guest feedback data

Service usage data

Operational data

Guest profile data

Booking data

Staff interaction logs

Social media analytics

Competitor data

Proposal

We understand your goal is to deliver an exceptional guest experience—particularly to high-value guests—by acting on feedback, anticipating needs, and personalising service. Expand this section to find our two-layered approach, combining data analysis with psychological insights. Given your objective, we believe you are best placed to put these insights into action and shape your strategy.

Marcus D.

Coffee Chain Owner

I own a coffee shop chain with 18 locations across the country. My main focus is on improving the business’s overall efficiency and profitability—particularly through better supply chain operations. I want to balance high-quality ingredients with cost-effectiveness and see if there’s an opportunity to align with sustainable and ethical sourcing to meet customer expectations and differentiate our brand.

Objectives:

I'd like to use data to understand how my supply chain is performing and identify where we can reduce costs or optimise sourcing—without compromising on quality. I'm also interested in exploring how sustainable and ethical sourcing can strengthen our competitive advantage, both financially and from a brand perspective. The objective is to make informed decisions about our sourcing strategy, balancing quality, cost and sustainability to ultimately grow the business.

Success means:

Success is achieved when we can optimise our supply chain operations to increase profitability while maintaining or improving ingredient quality. I measure success using key performance indicators such as cost per item, profit margin per item, supplier reliability and customer satisfaction ratings. Long-term success would also include alignment with sustainable practices, improving customer loyalty and differentiating our brand.

Data files:

Inventory and purchasing data

Sales & revenue data

Customer feedback

Supplier data

Logistics & shipping costs

Proposal

We understand that your priority is to optimise your supply chain in a way that maintains quality while increasing profitability and potentially using sustainable, ethical sourcing to differentiate your business. Expand this section to read about our three-layered approach, bringing together data science, psychological insights, and industry expertise.

Data science

Supply chain performance and market analysis

Examine supplier costs, delivery times, and inventory usage to spot inefficiencies and reduce waste.

Identify suppliers offering sustainable or ethical options, and model how these choices affect your costs and overall positioning.

Evaluate and compare cost per item and profit margin per item across your supplier options.

Use historical sales data to forecast demand, helping you optimise ordering and avoid both shortages and surplus.

By providing a data-driven overview of your supply chain operations and supplier options, these insights give you the clarity you need to make the optimal decision on your sourcing strategy— balancing quality with cost efficiency, sustainable and ethical practices.

Psychology

Consumer perception and behaviour insights

Develop profiles of your customers, including psychological attributes that shape their preferences and attitudes.

Explore how these profiles relate to sustainable and ethical sourcing in terms of customer loyalty, brand perception and willingness to pay a premium.

Investigate how sourcing choices influence brand value, highlighting the emotional and motivational drivers that lead to customer satisfaction and repeat business.

These insights provide a deeper understanding of 'if' and 'why' sustainable and ethical products resonate with your customers, helping you to make an informed decision about adapting your sourcing practices based on how they can improve brand perception, retain loyal customers and potentially attract new ones.

Expertise

Strategic guidance

We collaborate with a partner who is both a thought leader and has deep experience in the hospitality and foodservice sectors.

Advice on market shifts, emerging consumer preferences, and proven methods for balancing quality with cost-effectiveness.

Provide actionable recommendations to help you shape your sourcing strategy, focusing on how to integrate sustainability and ethical practices without compromising profitability.

Benefit from actionable recommendations that not only help you optimise your operations and shape your sourcing strategy, but also add a forward-looking perspective. This approach sets you on the path to optimising your operations, differentiating yourself in the market and achieving long-term success by balancing cost, quality and sustainability.

Conclusion

By combining detailed supply chain analysis with insights into consumer behaviour—and then reinforcing these findings with industry expertise—you’ll have a strong foundation for making informed decisions about sustainable and ethical sourcing while maximising profitability, maintaining the quality your customers expect and achieving long-term success.

Media and entertainment

Giulia M.

Head of Content Strategy

I oversee content creation and curation at a regional streaming service, focusing on original and licensed content across various genres. As competition intensifies in the streaming industry, my current focus is on leveraging our data to identify content trends and forecast which types of content are most likely to engage viewers and drive subscriptions.

Objectives:

I want to leverage data to understand which genres, themes and formats resonate most with our audiences, both overall and by demographic. My goal is to refine our content acquisition and production strategies based on these insights, ensuring that our portfolio aligns with viewer preferences and emerging trends, ultimately increasing engagement and subscriber growth.

Success means:

I'll consider our efforts successful when we see an increase in viewership metrics, higher content completion rates and lower subscriber churn. Key indicators include viewing hours by genre, new content success rates and subscription growth tied to popular shows.

Data files:

Viewership data

Subscriber data

Market trends data

Content metadata

User feedback

Platform analytics

Competitor analysis data

Proposal

We understand your priority: to refine your content strategy in a way that both captivates existing subscribers and draws in new ones. Expand this section to explore our three-layered approach, drawing on data science, psychological insights and a forward-thinking perspective.

Data science

Content engagement analysis

Examine viewership metrics to see which genres, themes, and formats are most popular.

Segment data by audience demographics to map content preferences and patterns.

Use predictive modelling to forecast new content trends and emerging viewer interests.

Correlate forecast with market trends.

A clear, data-driven view of your content performance and the genres, themes and formats that resonate most with your audience by demographic. These insights can help you fine-tune your content acquisition and production decisions, giving you a competitive edge in your industry.

Psychology

Insights into viewer preferences

Develop profiles based on viewers' psychological attributes to understand their content preferences and examine why certain genres or themes appeal to different audience segments.

Identify which factors lead to strong engagement and how they drive retention (e.g., binge-watching patterns, social sharing).

Pinpoint psychological drivers that attract viewers to connect with specific types of content—entertainment, escapism, education, etc.

These insights will deepen your understanding of viewer preferences and 'why' certain content resonates better than others, helping you to further tailor your content strategy and portfolio.

Expertise

Alignment with emerging trends

Collaborate with a thought leader who can provide a visionary perspective on emerging streaming trends, viewer preferences, and release strategies.

Advice on which related genres, themes, and formats are poised for growth.

Actionable recommendations on effective release schedules, innovative content concepts and unique positioning tactics to outperform the competition.

You'll gain a second perspective that considers both current audience interests and emerging trends. These recommendations will help you refine your strategy and prepare for the fast-changing and competitive streaming industry.

Conclusion

By combining data science, a deep understanding of viewer preferences, and expert insight into the future direction of the industry, we aim to empower you to make informed decisions about what content to acquire, produce, or promote. This well-rounded approach ensures your streaming service remains compelling, distinctive, and aligned with your audience’s ever-evolving tastes—ultimately driving engagement, retention, and growth.

Zhen S.

Head of Product Development

I lead product development at a video game studio that creates story-driven games for a worldwide audience. I oversee game concept development, testing, and release strategies. Currently, I’m looking to leverage data to better understand player engagement so we can enhance in-game features, boost retention, and drive in-game spending.

Objectives:

I want to leverage our data to identify key engagement metrics and player behaviours that contribute to game retention. My goal is to refine our product development strategy with these insights—improving gameplay features and in-game incentives to encourage longer play sessions and more in-game purchases.

Success means:

For me, success is defined by higher player retention, improved in-game engagement, player reviews and increased average revenue per user (ARPU). Key metrics include session duration, level completion rates, retention rates, and in-game purchase frequency.

Data files:

Gameplay interaction data

Player profile data

Technical performance data

Monetisation data

User feedback

Proposal

We understand that your priority is to deliver game experiences that keep players engaged and motivated to explore in-game purchases. Expand this section to read about our two-layered approach, combining data-driven analysis with psychological insights. In this case, we believe no external expert is necessary.

Data science

Engagement analysis

Evaluate which game features (levels, power-ups, story arcs) are most effective and drive the highest engagement.

Track and analyse player progression and correlate with spending data to identify what game elements drive the highest returns.

Examine the relationships between session duration, retention rates, and spending patterns to see which game elements keep players returning.

Identify commonalities in feedback from high-value or at-risk players that may guide targeted updates.

You’ll gain a clear picture of which features resonate most with players—and how those features influence revenue. This insight helps you prioritise development efforts where they matter most, ensuring your resources go toward optimising the game elements that support both engagement and profitability.

Psychology

Insights into spending behaviours

Develop player segments and base by psychological attributes, exploring what motivates each segment.

Investigate the emotional and behavioural factors that drive extended gameplay and in-game spending.

Assess how your storytelling elements affect player retention and purchases—do certain plot points or character arcs inspire spending?

Evaluate feedback for sentiment and commonalities among players.

Identify patterns among at-risk players and the potential psychological reasons behind drop-offs.

By deepening your understanding of spending behaviour, why players spend, and player engagement, what keeps them playing, you can develop tailored experiences and fine-tune features and reward structures that make players feel more invested in the game, increase satisfaction, and encourage repeat play and in game purchases.

Expertise

-

In this case, we believe no external expert is needed, as you are best positioned to put these insights into action.

Conclusion

By combining an engagement analysis with an understanding of the psychological factors behind spending, you'll have the insight to refine your product development strategy and to fine-tune gameplay features that drive longer, more satisfying play sessions and encourages players to invest in your game—leading to better retention rates and greater revenue.

Education

Mustafa K.

Technology Director

I’m responsible for managing digital learning platforms within a large K-12 school district, integrating technology into classrooms, and helping teachers use these tools effectively. As digital learning becomes more important, I want to ensure that our technology infrastructure supports engagement, accessibility, and measurable learning outcomes.

Objectives:

I want to use data to assess the effectiveness of our digital learning platforms in supporting student engagement and academic performance. My goal is to identify which tools and methods have the most positive impact on learning, enabling us to make informed decisions about technology investments and teacher training programmes.

Success means:

For me, success translates to measurable improvements in student engagement and academic outcomes with digital learning tools. Key metrics include student engagement rates, platform usage data, and improvements in academic performance metrics such as grades or assessment scores.

Data files:

Platform usage data

Student information

Staff feedback

Technology inventory data

Student feedback

Academic performance data

Staff development data

Proposal

We understand your priority is to optimise digital learning, so students stay engaged and teachers feel supported, leading to measurable academic gains. Expand this section to read about our three-layered approach, combining data-driven analysis, psychological insights, and a forward-looking perspective.

Data science

Effectiveness analysis

Examine which digital tools, features and platforms are used most often - and how they correlate with engagement.

Map and analyse engagement metrics to identify the relationship between platform usage, student participation rates, and assignment completion.

Correlate tool usage with performance metrics like grades and assessment scores to see which methods best support learning.

You'll get a clear, data-driven view of which digital resources have the greatest impact on student engagement and success. This insight can help you prioritise your technology spend on the tools that really make a difference.

Psychology

Insights into student and teacher engagement

Segment students by academic program and identify the psychological factors that influence student motivation and engagement with digital learning tools.

Examine how different types of learners engage with digital platforms and assess the impact of platforms on student participation and academic performance.

Evaluate student and teacher feedback for common sentiments and opinions about different digital tools.

Assess platforms from a usability perspective, identifying barriers that may prevent students or teachers from fully engaging.

Investigate the psychological factors affecting teachers’ willingness and ability to integrate technology effectively.

These insights will deepen your understanding of 'why' certain platforms and tools resonate more deeply—both with students and teachers. These insights can help you make informed decisions that meet learning needs. Ultimately, this can help you foster greater engagement, improve academic outcomes and support more effective use of digital resources.

Expertise

Technical innovation

Collaborate with a thought leader who can provide a forward-looking perspective on emerging digital learning tools and teacher training programmes.

Gain a forward-looking perspective on high-impact technologies and strategies so you can make informed decisions about ongoing investments.

Receive actionable recommendations on the tools, methods and systems that could future-proof your district's approach to digital education.

Today's technology landscape is evolving at a rapid pace—gain a second, forward-thinking perspective to ensure your infrastructure is future-proof and position your district at the forefront of digital education.

Conclusion

By combining a thorough analysis of your digital platforms with psychological insights into student and teacher engagement—and then adding a forward-looking perspective—we aim to empower you with a solid foundation for making informed decisions about technology investments and teacher training, fostering greater engagement, and ultimately helping students achieve better academic outcomes in a dynamic, digitally-driven environment.

Emilia R.

Director of Curriculum Development

I oversee curriculum design, course offerings, and learning outcomes at a higher education institution, spanning both undergraduate and postgraduate programmes. In the face of a changing job market, I’m focused on using data to keep our courses relevant, ensuring our students graduate with skills that employers value.

Objectives:

I want to use data to identify which skills and competencies are most in demand across industries. My aim is to adapt our curriculum accordingly, so our graduates are equipped with practical, market-relevant abilities that boost employability. I’m particularly keen on spotting emerging skill requirements to future-proof our programmes.

Success means:

For me, success would be reflected in higher graduate employability rates, improved student satisfaction, and positive feedback from industry partners about the readiness of our graduates. Key metrics include the percentage of students securing jobs post-graduation, satisfaction scores around course content, and employer feedback on graduate performance.

Data files:

Graduate employment data

Student data

Employer feedback

Curriculum data

Alumni feedback

Labour market data

Proposal

We understand your priority is to align your curriculum with both current and emerging market needs so your students graduate with the skills necessary to thrive in the modern workforce. Expand this section to explore our three-layered approach, bringing together data-driven and psychological insights with a forward-looking perspective.

Data science

Curriculum alignment analysis

Analyse of the job market data to identify trending skills and competencies required by employers.

Examine industry reports to identify emerging skill requirements and future workforce demands.

Compare current curriculum offerings with identified in-demand skills to highlight areas needing better alignment.

Correlate programme components with employability outcomes by analysing graduate employment data.

This analysis aims to provide insight into the alignment of your curriculum with market needs and highlight potential gaps. These insights can help you make strategic adjustments to your curriculum to improve graduate employability and meet evolving industry expectations.

Psychology

Insight into student and employer needs

Develop psychographic profiles to understand student’ motivations, preferences, and career aspirations.

Analyse student engagement patterns and how these affect satisfaction and academic success.

Examine employer feedback to clarify which skills and personal attributes are most valued in the workplace.

Evaluate student feedback for sentiment and opinion on curriculum material.

These insights add a human dimension to your analysis. By understanding how students learn best, what employers value and why, you can develop a curriculum that resonates with students and meets employers' needs. This can lead to higher student satisfaction, better employability outcomes and more positive feedback from industry partners.

Expertise

Curriculum development and industry alignment

Collaborate with a thought leader who can provide visionary insights into emerging skill requirements across industries.

Provide actionable recommendations on future critical skills to include in your programmes and propose innovative strategies to future proof your programmes.

Combining insights with a forward-looking perspective not only enables the alignment of your curricula with current skill requirements, but also ensures the continued relevance of programmes.

Conclusion

By combining a thorough curriculum alignment analysis with psychological insights into student and employer needs—and then infusing these findings with a forward-looking perspective—our aim is to provide you with a formidable foundation for developing your course offerings. This balanced approach ensures that your programmes not only meet today's market needs but also anticipate tomorrow's, helping your institution to differentiate itself while equipping graduates with the skills they need to succeed.

Other

Marta V.

Management Consultant (Partner)

I have taken on a project at a mid-sized manufacturing company to improve business performance and streamline operations. After initial discussions with leadership, I noticed a productivity issue related to shift scheduling and employee performance. My plan is to provide the client with a data-backed understanding of the root causes of these productivity issues and make targeted recommendations for improvement.

Objectives:

I want you to analyse productivity trends across different shifts and identify any patterns that may indicate inefficiencies in scheduling, task allocation, or employee engagement. By understanding these factors, I can make informed recommendations to help the client enhance overall productivity and operational efficiency.

Success means:

For me, success is defined by clear insights into productivity patterns that support actionable recommendations for improving shift scheduling and employee engagement. Key metrics include productivity by shift, employee task completion rates, and engagement indicators that could impact performance.

Data files:

Shift schedules

Employee performance data

Employee engagement data

Production data

Attendance records

Operational logs

HR data

Proposal

We understand your main goal is to streamline the client’s operations by addressing any underlying issues with scheduling, task allocation, and employee engagement. Expand this section to find our two-layered approach, combining data analysis with psychological insights, that will empower you to act on these findings.

Henrik O.

Founder

I run a small SaaS company providing project management software for freelancers and small businesses. As we look to the coming year, I’m focused on using data to guide our marketing budget decisions, so we invest in the channels and strategies that deliver the highest engagement and conversions. With limited resources, it’s crucial to zero in on what truly works.

Objectives:

I want to pinpoint which marketing channels and campaigns have been most effective at attracting new clients and increasing conversions. The ultimate goal is to prioritise our marketing spend for optimal results.

Success means:

For me, success looks like a clear, data-driven marketing plan that allocates the budget where it achieves the biggest impact on client acquisition and engagement. We’ll track metrics like client acquisition cost (CAC), conversion rates by channel, and return on marketing investment (ROMI) to measure progress.

Data files:

Marketing performance data

Website analytics

Client data

Conversion data

Sales data

CRM data

Client feedback

Surveys or feedback forms that reveal client motivations and reasons for choosing your software.

Proposal

We understand your priority is to maximise the return on your marketing spend—attracting and converting more clients while using resources efficiently. Expand this section to read about our three-layered approach, bringing together data analysis, psychological insights, and strategic marketing expertise.

Data science

Marketing performance analysis

Evaluate the effectiveness of your marketing channels (social media, email, website (SEO & PPC)).

Identify which past marketing strategies and campaigns yielded the highest returns.

Analyse which client groups are most profitable and how they relate to specific marketing efforts.

These insights give you a clear, data-driven picture of where your marketing spend is delivering the highest return, helping you to focus your budget where it will drive the most growth for your SaaS business.

Psychology

Insights into client preferences and behaviour

Segment your target audience based on psychological attributes such as values, attitudes, and behaviours, and building client profiles.

Identifying key motivators that drive freelancers and small businesses to choose your software.

Analyse which channels, types of content and messages resonate with different audience segments

Assess how psychological triggers in your marketing content influence engagement and conversions.

Examine the psychological factors that influence client' decisions to engage with your marketing efforts.

By understanding why certain campaigns, channels, content types and messages are more effective than others, you can optimise your marketing strategies to align with what engages your audience. This leads to higher conversion rates and more efficient use of your marketing budget.

Expertise

Strategic marketing advice

Collaborate with a branding and marketing professional with extensive experience working with software companies.

Advice on how to align your marketing efforts with the needs of your audience.

Actionable recommendations on how to best allocate your marketing spend across channels.

These actionable recommendations will help you in use the insights we've uncovered to create the optimal mix of marketing activities—helping you make the most of your limited resources while achieving the best possible return on marketing investment (ROMI).

Conclusion

By combining analysis of your marketing performance with psychological insights into client preferences and behaviour—and then reinforcing these findings with expert brand and marketing advice—you’ll have the clarity needed to focus your budget where it delivers the greatest impact. This balanced approach ensures that you focus your efforts on the right client, using the right channels, content types and messages, resulting in increased conversions and ultimately more efficient growth for your SaaS business.

Simplifying the path from data to decision

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Frequently asked questions