AI for Problem Solving: A Guide

Slide Number 45 --------------- - TL;DR - In other words: "The importance of problem-first thinking in AI applications." ### Key Takeaway: - Successful AI implementation begins with clearly defining the problem and understanding the audience it serves. ### Key Talking Points: -...

Slide Number 45 --------------- - TL;DR - In other words: "The importance of problem-first thinking in AI applications." ### Key Takeaway: - Successful AI implementation begins with clearly defining the problem and understanding the audience it serves. ### Key Talking Points: - **Problem Definition:** Clearly articulate the issue AI aims to address. - **User-Centric Approach:** Identify who benefits from solving the problem. - **Solution Alignment:** Ensure AI strategies address well-defined needs. - **Avoid Solution-Led Thinking:** Resist the temptation to prioritize technology over problems. - **Iterative Refinement:** Continuously refine understanding of the problem and solution. ### Caveats: - Avoid starting with technology and retrofitting it to a problem. - Emphasize the need for cross-functional alignment on problem definition. - Address concerns about spending too much time on problem framing. - Highlight that clear problems lead to more impactful AI solutions. Slide Number 46 --------------- - TL;DR - In other words: "Define the problem and audience before applying AI solutions." ### Key Takeaway: - Successful AI implementation starts with understanding the problem and identifying the target audience it serves. ### Key Talking Points: - **Problem First:** Focus on defining what problem you're trying to solve. - **Audience-Centric:** Identify who benefits from solving this problem. - **Avoid Jumping to Solutions:** AI should align with validated needs, not trends. - **Refine Continuously:** Iteratively improve problem framing to ensure alignment. - **Outcome-Driven Approach:** Tailor solutions to deliver measurable value. ### Caveats: - Avoid starting with the technology instead of the problem. - Emphasize collaboration in defining the problem. - Clarify the need for cross-functional alignment on audience needs. - Highlight that problems drive better long-term outcomes. Slide Number 47 --------------- - Personas, Problems, Pains, & Gains - In other words: "Prioritize understanding people over technology." ### Key Takeaway: - Personas guide problem-solving by contextualizing user goals, challenges, and opportunities for impactful solutions. ### Key Talking Points: - **Personas in Focus:** Act as composite profiles of target groups. - **User Needs:** Capture pains, gains, and behavioral insights. - **Empathy-Driven:** Foster understanding of users and buyers. - **Strategic Alignment:** Align team goals with personas' real-world problems. - **Qualitative and Quantitative Data:** Combine insights for comprehensive perspectives. ### Caveats: - Clarify personas are generalized, not one-size-fits-all solutions. - Address the risk of relying solely on assumptions without validation. - Avoid overcomplicating personas with irrelevant details. - Ensure personas are actionable and tied to project goals. Slide Number 48 --------------- - What Problem Are We Solving? - In other words: "Define the challenge and audience for clarity." ### Key Takeaway: - Clearly identifying the problem and its audience ensures solutions are relevant, targeted, and impactful. ### Key Talking Points: - **Defining the Problem:** Focus on core challenges that need addressing. - **Target Audience:** Identify who will benefit from solving the problem. - **Outcome Alignment:** Connect problems to measurable business and user outcomes. - **Collaborative Definition:** Ensure stakeholders align on problem framing. - **Iterative Improvement:** Continuously refine problem statements. ### Caveats: - Avoid overly broad problem definitions. - Emphasize collaboration in understanding user pain points. - Clarify the connection between the problem and organizational goals. - Highlight the importance of data-driven validation. Slide Number 49 --------------- - ComfortAIble Scenario - In other words: "Improving smart home usability through strategic AI solutions." ### Key Takeaway: - AI enhances smart home systems by simplifying user experiences and reducing operational complexity for scalable automation. ### Key Talking Points: - **Simplified Systems:** Improve accessibility for diverse user groups. - **Tenant Automation:** Streamline tenant-domicile interactions with AI. - **Cost Reduction:** Minimize maintenance costs through predictive AI. - **Scalable Solutions:** Build automation that grows with demand. - **Strategic Problem Solving:** Tackle challenges with tailored AI-driven strategies. ### Caveats: - Avoid overpromising AI capabilities without addressing its limitations. - Clarify the importance of data quality in enhancing smart home AI. - Address potential resistance to adopting new automation systems. - Highlight the importance of user education for successful adoption. Slide Number 50 --------------- - Personas Define the "Who" - In other words: "Use personas to clarify your audience and their context." ### Key Takeaway: - Personas provide a shared understanding of the audience, offering insights to design solutions that resonate with users and buyers. ### Key Talking Points: - **What is a Persona?:** Composite profiles summarizing target audience traits. - **Contextual Relevance:** Personas anchor decisions in real user scenarios. - **Guiding Design:** Use personas to tailor solutions and improve alignment. - **Empathy:** Develop a deeper connection with user motivations and challenges. - **Cross-Functional Tool:** Personas align teams on user-centered goals. ### Caveats: - Avoid overloading personas with irrelevant details. - Clarify that personas require validation and regular updates. - Address misconceptions that personas replace direct user research. - Highlight the need for a balanced focus on both users and buyers. Slide Number 51 --------------- - User and Buyer Personas - In other words: "Differentiate personas for users and buyers to cover all bases." ### Key Takeaway: - User personas focus on behavior and experience, while buyer personas emphasize motivations and constraints in purchasing decisions. ### Key Talking Points: - **User Personas:** Focus on usage behavior, UX preferences, and qualitative insights. - **Buyer Personas:** Emphasize budget, value propositions, and business pain points. - **Dual Perspectives:** Cover end-to-end needs from both users and buyers. - **Holistic Design:** Solutions should address both usage and purchasing challenges. - **Data Integration:** Combine qualitative and quantitative data for accuracy. ### Caveats: - Clarify that personas should not overlap unless justified by shared attributes. - Avoid creating too many personas, which can dilute focus. - Ensure buyer personas align with organizational priorities. - Address skepticism about the value of separating user and buyer personas. Slide Number 52 --------------- - Activity: Pick-a-Persona - In other words: "Choose personas to guide your solution exploration." ### Key Takeaway: - Selecting relevant personas ensures solutions are rooted in real-world needs and provide clear guidance for exploration. ### Key Talking Points: - **Activity Purpose:** Identify a persona to shape the focus of your solution. - **Relevance to Outcomes:** Personas connect solutions to specific goals. - **Collaborative Selection:** Use group insights to finalize persona choice. - **Practical Application:** Personas guide exercises and subsequent decisions. - **Time Constraint:** Allocate 10 minutes to ensure focused discussion. ### Caveats: - Avoid spending excessive time debating persona details. - Clarify that personas are starting points, not definitive representations. - Ensure participants understand the connection between personas and outcomes. - Highlight the value of diverse perspectives in persona selection. Slide Number 53 --------------- - Agenda - In other words: "Overview of key session topics and focus areas." ### Key Takeaway: - This agenda emphasizes foundational AI topics, personas, and activities to ensure practical learning and strategic thinking. ### Key Talking Points: - **Key Topics:** Covering personas, problem framing, and jobs-to-be-done. - **Interactive Exercises:** Engage participants with hands-on activities. - **Outcome-Oriented:** Build towards actionable insights and solutions. - **Logical Progression:** Each topic prepares participants for the next step. - **Course Focus:** Staying problem-driven and solution-oriented. ### Caveats: - Avoid rushing through agenda topics; maintain a steady pace. - Clarify how activities reinforce session learning objectives. - Address potential concerns about topic complexity or depth. - Ensure participants are clear on the flow and structure of the session. Slide Number 54 --------------- - How might we use Generative AI to Explore our Problem & Personas? - In other words: "Leveraging Generative AI for better problem and persona understanding." ### Key Takeaway: - Generative AI supports exploring problems and refining personas through creative and iterative insights, enabling deeper user understanding. ### Key Talking Points: - **Generative AI's Role:** Facilitates exploration of problems and personas interactively. - **Problem Alignment:** Helps identify and refine core challenges for users. - **Persona Insights:** Generates nuanced profiles by analyzing behaviors and needs. - **Iterative Exploration:** Supports continuous persona improvement through hypothesis testing. - **Broad Application:** Encourages diverse perspectives in persona and problem analysis. ### Caveats: - Avoid over-relying on AI-generated insights without validation. - Clarify the importance of human judgment in refining AI outputs. - Address risks of AI introducing bias into persona definitions. - Highlight that AI serves as a supplement, not a replacement, for direct research. Slide Number 55 --------------- - Leveraging Generative AI - In other words: "Using Generative AI for creativity and exploration, with some caveats." ### Key Takeaway: - Generative AI enables creativity and innovation by producing new ideas and solutions, but it must be used with critical oversight. ### Key Talking Points: - **Creative Output:** Generates new content like text, images, and music. - **Multiple Technologies:** Combines deep learning, neural networks, and NLP. - **Challenges:** Can produce hallucinations or confabulations requiring user oversight. - **Applications:** Useful for brainstorming, content generation, and strategy alignment. - **Iterative Process:** Helps refine outputs through successive iterations. ### Caveats: - Address risks of AI-generated inaccuracies without human verification. - Emphasize critical evaluation of AI outputs to avoid overreliance. - Highlight potential ethical concerns in creative applications. - Clarify that AI enhances but does not replace creative processes. Slide Number 56 --------------- - Understand the AI Chatbot Dialog - In other words: "The roles of user, assistant, and system in AI interactions." ### Key Takeaway: - Effective chatbot use depends on understanding the distinct roles of the user, assistant, and system in shaping conversations. ### Key Talking Points: - **User Role:** Makes requests and drives the chatbot interaction. - **Assistant Role:** Provides responses based on user queries. - **System Role:** Governs assistant behavior, ensuring responses meet session context. - **Collaboration:** Successful interactions require alignment among roles. - **Session Context:** Clearly defined context improves the quality of chatbot responses. ### Caveats: - Clarify that effective interactions rely on precise input. - Address misconceptions about AI's ability to infer intent without guidance. - Highlight the system's role in minimizing errors and maintaining relevance. - Avoid overestimating the assistant's autonomous capabilities. Slide Number 57 --------------- - Prompt Engineering Essentials - In other words: "Best practices for creating effective AI prompts." ### Key Takeaway: - Clear, structured prompts ensure Generative AI produces high-quality, relevant outputs tailored to user needs. ### Key Talking Points: - **Clarity Matters:** Vague input leads to poor-quality output; specificity is key. - **Role Requesting:** Ask for expert-level roles to improve response quality. - **Formatting Guidance:** Show desired formats to guide the AI effectively. - **Iterative Refinement:** Use examples and step-by-step instructions for better outcomes. - **Quality Input:** Higher input quality leads to more actionable AI responses. ### Caveats: - Avoid expecting perfect results without refining inputs. - Clarify that garbage input leads to garbage output (GIGO). - Address misconceptions about AI's ability to understand unstructured queries. - Highlight the importance of including relevant examples for clarity. Slide Number 58 --------------- - How do you prompt as a team with different sessions? - In other words: "Structuring AI prompts for diverse team needs and goals." ### Key Takeaway: - Teams must align on context, goals, and task requirements to maximize the effectiveness of collaborative AI sessions. ### Key Talking Points: - **Diverse Goals:** Tailor prompts to specific team functions (e.g., UX, marketing, data science). - **Session Alignment:** Define session context and objectives clearly for consistency. - **Collaborative Focus:** Use shared prompts to unify team outputs. - **Role Customization:** Ensure prompts address the unique needs of different stakeholders. - **Iterative Improvements:** Refine prompts based on team feedback and outcomes. ### Caveats: - Avoid generalizing prompts across all team roles. - Clarify that clear communication is essential for team-wide alignment. - Address challenges in managing multi-disciplinary sessions effectively. - Highlight the need for a feedback loop to improve prompts. Slide Number 59 --------------- - Set the Session Context - In other words: "Establish clear goals and parameters for effective AI interactions." ### Key Takeaway: - Defining session context ensures AI outputs are accurate, relevant, and aligned with user goals and constraints. ### Key Talking Points: - **Context Importance:** Outlines user role, audience, and desired goals upfront. - **Task-Specific Clarity:** Detail what task needs completion and related constraints. - **Formatting Preferences:** Specify preferred formats for outputs (e.g., bullets, slides). - **Reducing Errors:** Clear context minimizes hallucinations and irrelevant responses. - **Collaborative Tool:** Ensures alignment between users, teams, and AI capabilities. ### Caveats: - Avoid incomplete or ambiguous context definitions. - Clarify that more context reduces the risk of inaccurate AI outputs. - Address skepticism about the time investment required for context setup. - Highlight that context-setting is critical for scaling complex tasks. Slide Number 60 --------------- - Art of the Session Starter Prompt - In other words: "Designing reusable, shareable prompts for consistent results." ### Key Takeaway: - Structured starter prompts align team goals and outputs, fostering consistency, clarity, and problem-focused AI sessions. ### Key Talking Points: - **Reusable Prompts:** Create prompts that can be applied across sessions and teams. - **Problem-Centric:** Focus prompts on problems, not solutions, to ensure relevance. - **Clear Format:** Define tone, context, and output expectations for clarity. - **Team Alignment:** Keep prompts shareable to unify collaborative efforts. - **Session Efficiency:** Well-crafted prompts save time and enhance productivity. ### Caveats: - Avoid overloading prompts with unnecessary details. - Clarify that prompts are starting points, not exhaustive instructions. - Address concerns about maintaining flexibility in structured prompts. - Highlight that reusable prompts improve over time with refinement. Slide Number 61 --------------- - Gen AI Session Starter - In other words: "Launching structured, focused AI sessions for effective exploration." ### Key Takeaway: - Structured AI sessions, using defined prompts and external resources, drive better exploration and learning outcomes. ### Key Talking Points: - **Session Goals:** Kickstart exploration with clear objectives and structured data. - **Tools Available:** Use Mural and Generative AI chatbots like ChatGPT or Claude. - **Prompts with Context:** Combine Persona YAML and external data for targeted sessions. - **Collaboration:** Encourage team-based exploration to leverage diverse perspectives. - **Outcome Focus:** Prepare for subsequent class exercises by setting a strong foundation. ### Caveats: - Avoid starting sessions without sufficient data or structure. - Clarify that prompts need refinement as insights emerge. - Address potential challenges with unfamiliar AI tools. - Highlight that context setting ensures relevance and accuracy. Slide Number 62 --------------- - Session Context Windows - In other words: "How context evolves and impacts AI response accuracy." ### Key Takeaway: - Managing context effectively within AI tools ensures consistent, relevant responses over the course of interactions. ### Key Talking Points: - **Initial Context:** Clear starting parameters improve initial response quality. - **Token Limits:** AI models forget earlier context as token limits are exceeded. - **Summarization Strategies:** Summarize key points to maintain alignment. - **Prompt-Response Impact:** Both contribute to token count and context retention. - **Adaptive Management:** Continuously refine and reframe to maximize session value. ### Caveats: - Avoid overloading the context window with unnecessary details. - Clarify that token limits vary between AI tools. - Address misconceptions about AI retaining unlimited memory. - Highlight the importance of summarization for maintaining relevance. Slide Number 63 --------------- - Adding Outside Smarts (Picking the Right Tool for the Job) - In other words: "Using external resources to enhance AI performance." ### Key Takeaway: - Combining AI with external tools, like PDFs or real-time search, enhances relevance and decision-making accuracy. ### Key Talking Points: - **AI-Assisted Search:** Tools like Perplexity provide near-real-time, accurate data. - **Document Integration:** Upload domain-specific files (PDFs, images) for deeper context. - **Improved Focus:** External resources sharpen insights and reduce errors. - **Outcome Alignment:** Ensures AI recommendations align with up-to-date knowledge. - **Practical Examples:** Demonstrate use cases of combining AI with external tools. ### Caveats: - Avoid assuming all AI tools can integrate external resources effectively. - Clarify the importance of verifying data accuracy from external sources. - Address concerns about privacy and data sharing when uploading files. - Highlight that not all use cases benefit equally from external inputs. Slide Number 64 --------------- - Leveraging Structured Data - In other words: "How structured formats improve AI interaction quality." ### Key Takeaway: - Structured data formats like YAML or JSON reduce ambiguity and improve clarity, making AI responses more actionable. ### Key Talking Points: - **Beyond Markdown:** Use structured formats like CSV or YAML for clarity. - **Reduced Ambiguity:** AI performs better with clean, well-organized data inputs. - **Shareable Outputs:** Enables consistent, reusable formats for collaborative work. - **Team Alignment:** Keeps everyone on the same page with standard data practices. - **Scalable Approach:** Structured data supports larger, more complex projects. ### Caveats: - Avoid using formats the team isn't familiar with. - Clarify that structured data requires consistent maintenance and updates. - Address challenges in converting unstructured data into usable formats. - Highlight the importance of data validation to avoid AI errors. Slide Number 65 --------------- - How might we use common product management templates & canvases to get our job done? - In other words: "Applying proven frameworks to product management challenges." ### Key Takeaway: - Product management templates like Opportunity Solution Trees and Customer Profiles enhance problem-solving and strategy development. ### Key Talking Points: - **Framework Variety:** Includes tools like JTBD canvases and User Journey Maps. - **Opportunity Trees:** Visualize pathways from problems to solutions. - **Customer Profiles:** Map pains, gains, and jobs-to-be-done effectively. - **Collaboration Boost:** Standard frameworks align teams on shared goals. - **Strategic Value:** Enhances decision-making by providing structured insights. ### Caveats: - Avoid rigidly sticking to templates; adapt as needed. - Clarify the importance of tailoring frameworks to specific use cases. - Address skepticism about the time investment for building canvases. - Highlight that templates are starting points, not solutions themselves. Slide Number 66 --------------- - Using Prompts by Reference - In other words: "Enhancing AI prompts with established frameworks." ### Key Takeaway: - Referencing product management frameworks within prompts guides AI towards delivering relevant, structured outputs. ### Key Talking Points: - **Opportunity Trees:** Use Teresa Torres' framework to explore ideas. - **Customer Mapping:** Leverage Osterwalder's profiles for JTBD analysis. - **User Journeys:** Jeff Patton's maps visualize key touchpoints. - **Positioning:** Apply Geoffrey Moore's template for product differentiation. - **Hypothesis Framing:** Use Tim Herbig's UX templates for testable ideas. ### Caveats: - Avoid overloading prompts with multiple frameworks at once. - Clarify that AI output depends on how frameworks are referenced. - Address potential misalignment if frameworks are misunderstood. - Highlight the iterative nature of refining outputs using prompts. Slide Number 67 --------------- - Using Prompt by Template - In other words: "Creating consistency and collaboration with templated prompts." ### Key Takeaway: - Templated prompts provide clarity, structure, and scalability across projects, enabling consistent results for teams. ### Key Talking Points: - **Consistency in Output:** Repeatable structures lead to reliable results. - **Collaboration Ready:** Templates align team efforts around shared frameworks. - **Scalable Solutions:** Adapt prompts for various projects without starting over. - **Time Efficiency:** Saves time by leveraging pre-defined formats. - **Team Unity:** Keeps stakeholders aligned through a shared process. ### Caveats: - Avoid overly rigid templates that limit flexibility. - Clarify the need to adapt templates to specific project contexts. - Address concerns about over-dependence on templated formats. - Highlight the role of iteration in improving prompt templates. Slide Number 68 --------------- - Activity: Personas -- Pains, Gains, & JTBD - In other words: "Brainstorming personas' challenges, benefits, and objectives." ### Key Takeaway: - Identifying pains, gains, and jobs-to-be-done clarifies personas' needs and aligns solutions with actionable insights. ### Key Talking Points: - **Activity Goals:** Understand personas' challenges and benefits for problem-solving. - **Group Brainstorming:** Use collaborative tools like Mural to capture insights. - **JTBD Framework:** Define key jobs and connect them to user goals. - **Prompts for Clarity:** Use optional prompts to guide discussions effectively. - **Outcome-Oriented:** Focus on actionable outputs for subsequent exercises. ### Caveats: - Avoid fixating on minor details during brainstorming. - Clarify that pains, gains, and JTBD must be evidence-based. - Address time constraints by setting clear activity limits. - Highlight the importance of connecting insights to real-world outcomes. Slide Number 69 --------------- - Day 2: AI Product Management - In other words: "Exploring AI's role in product management with deeper insights." ### Key Takeaway: - Day 2 focuses on applying AI concepts to product management challenges through frameworks, strategies, and actionable exercises. ### Key Talking Points: - **Deep Dives:** Build on Day 1 foundations with advanced AI strategies. - **Hands-On Learning:** Participate in exercises to connect theory with practice. - **Framework Application:** Leverage tools like JTBD and personas in real-world contexts. - **Collaborative Focus:** Encourage team discussions for shared learning. - **Outcome-Oriented:** Drive actionable insights and product management solutions. ### Caveats: - Avoid rushing through advanced topics without addressing questions. - Clarify connections between Day 1 and Day 2 objectives. - Address potential apprehension about tackling complex concepts. - Highlight the importance of iterative learning throughout the session. Slide Number 70 --------------- - Framing the Problem - In other words: "Define and articulate underserved needs for clarity." ### Key Takeaway: - Clear problem framing helps teams focus on underserved needs, aligning efforts across stakeholders and teams. ### Key Talking Points: - **Define Needs:** Articulate specific user problems to focus efforts. - **Alignment Tool:** Align stakeholders on problem priorities. - **Customer Storytelling:** Use narratives to connect with stakeholder perspectives. - **Prioritization Aid:** Focus engineering and resource allocation effectively. - **Foundation for Solutions:** Establishes a clear path for strategic outcomes. ### Caveats: - Avoid generalizing problems without evidence or data. - Clarify the distinction between symptoms and root causes. - Address potential misalignment in stakeholder priorities. - Highlight the iterative nature of refining problem statements. Slide Number 71 --------------- - What is your Problem? - In other words: "Identify, refine, and articulate the central challenge." ### Key Takeaway: - Identifying the core problem ensures teams address the right challenges and align solutions with real-world needs. ### Key Talking Points: - **Focus on Specificity:** Define a clear, actionable problem statement. - **Collaborative Input:** Involve stakeholders to refine understanding. - **Data-Driven Approach:** Use evidence to validate problem assumptions. - **Customer-Centricity:** Ensure the problem aligns with user needs. - **Iterative Refinement:** Continuously improve problem clarity as new insights emerge. ### Caveats: - Avoid framing vague or overly broad problems. - Clarify that problems must be validated through research. - Address concerns about diverging perspectives among stakeholders. - Highlight the importance of framing problems that are solvable and measurable. Slide Number 72 --------------- - Frame the Problem - In other words: "Communicate the problem to align teams and stakeholders." ### Key Takeaway: - Framing problems effectively aligns teams, prioritizes efforts, and focuses stakeholders on solving the right challenges. ### Key Talking Points: - **Storytelling Approach:** Use narratives to convey the problem's impact. - **Outside-In Focus:** Start with the customer's perspective for better alignment. - **Strategic Prioritization:** Guide engineering and design efforts effectively. - **Cross-Team Alignment:** Ensure all stakeholders share the same understanding. - **Outcome-Driven:** Connect problem framing to measurable business outcomes. ### Caveats: - Avoid skipping stakeholder input during the framing process. - Clarify that framing should remain flexible for refinement. - Address potential resistance to prioritizing problems. - Highlight the risks of misaligned problem definitions. Slide Number 73 --------------- - Problem Frame Example - In other words: "An example of framing a clear, actionable problem." ### Key Takeaway: - A well-framed problem example shows how to define user challenges, motivations, and obstacles to align team efforts. ### Key Talking Points: - **Persona-Based Framing:** Use personas to ground the problem in real-world scenarios. - **Clarity in Challenges:** Define the "why" behind user difficulties. - **Root Cause Identification:** Highlight underlying issues like lack of awareness or adherence. - **Emotion Connection:** Capture user frustrations to humanize the problem. - **Alignment Focus:** Link the problem to broader team goals and outcomes. ### Caveats: - Avoid assuming the example fits all scenarios---adapt as needed. - Clarify that personas require validation for accurate framing. - Address potential overemphasis on emotional aspects without data support. - Highlight the importance of solving root causes, not symptoms. Slide Number 74 --------------- - How Might We Prompt to... - In other words: "Using prompts to explore personas' challenges and goals." ### Key Takeaway: - Strategic prompts help teams uncover key pain points, outcomes, and barriers faced by personas to drive effective solutions. ### Key Talking Points: - **Identify Pain Points:** Use prompts to explore persona challenges deeply. - **Define Outcomes:** Focus on goals the persona is striving to achieve. - **Uncover Barriers:** Highlight obstacles preventing success. - **Empathy Focus:** Understand how personas feel about their problems. - **Iterative Exploration:** Use prompts to refine understanding continuously. ### Caveats: - Avoid generic prompts that lack persona-specific context. - Clarify the role of prompts in guiding discussions, not dictating outcomes. - Address potential biases in persona-driven assumptions. - Highlight the need for team alignment when using prompts. Slide Number 75 --------------- - Activity: Frame the Problem - In other words: "Define a problem worth solving for impactful outcomes." ### Key Takeaway: - This activity encourages teams to document a clear, validated problem statement based on persona pains, gains, and jobs-to-be-done. ### Key Talking Points: - **Activity Goal:** Document the top problems for user and buyer personas. - **Problem Worth Solving:** Focus on challenges tied to meaningful outcomes. - **Collaborative Framework:** Use whiteboarding tools to capture ideas. - **Persona Connection:** Link problems to the target personas' needs. - **Outcome Alignment:** Articulate a problem that supports measurable results. ### Caveats: - Avoid framing problems without supporting evidence. - Clarify that problem statements should be concise and actionable. - Address potential misalignment in team perspectives. - Highlight the importance of revisiting and refining problem statements as needed. Slide Number 76 --------------- - So, I understand the problem. Now, how do I solve it? - In other words: "Moving from problem identification to solution exploration." ### Key Takeaway: - Transitioning from understanding the problem to exploring solutions requires structured approaches to ensure alignment with user needs. ### Key Talking Points: - **Problem Clarity:** Start with a well-defined, validated problem. - **Exploration Frameworks:** Use frameworks to ideate structured solutions. - **Iterative Testing:** Test hypotheses to refine potential solutions. - **Stakeholder Alignment:** Ensure team buy-in before advancing. - **Outcome Orientation:** Keep solutions focused on delivering user value. ### Caveats: - Avoid jumping to solutions without full problem validation. - Clarify that initial solutions may require multiple iterations. - Address potential misalignment in team solution priorities. - Highlight that solutions must be feasible and measurable.