¿Cómo priorizas a los clientes y usuarios en tu estrategia ágil?

1. Start by collecting data from surveys, interviews, and analytics. 2. Group users with similar habits or interests. 3. Create personas. Imagine users like characters. what motivates them? What challenges do they face? 4. Identify personas that match your goals and growth. 5. Follow and map users journey – where they go, what they like, and what bugs them. 6. Dive into real user stories for deeper insights. 7. Identify top features. Prioritize what users want most and where it packs a punch. 8. Test often, ask users for feedback, and polish things up. Repeat. 9. Keep the conversation flowing. Share what's in the pipeline and listen up. 10. Monitor user behavior and stay updated on the latest trends. Adapt accordingly.

• Gather and analyze data through surveys, interviews, and analytics to identify their needs, goals, and pain points. • Clearly articulate the unique benefits of your product or service using tools like the value proposition canvas. • Ensure your vision and goals align with your value proposition and customer needs using frameworks like the product vision board or OKRs. • Use criteria like value, urgency, and feedback to prioritize features and tasks, employing methods such as MoSCoW or RICE. • Test your assumptions with experiments, prototypes, and A/B testing to refine your strategy. • Continuously review and adapt your strategy based on feedback and data to ensure value delivery and customer satisfaction.

Leverage data science and AI to uncover psychographic insights. Analyze social conversations and reviews using NLP. Build dynamic personas from usage analytics and surveys. Simulate journeys with scenario mapping tools. Get quick feedback through online focus groups. Observe behaviors unobtrusively with eye tracking and emotion AI. Uncover needs rapidly by synthesizing multiple data sources with customer data platforms. Continuously update understanding through voice analytics and predictive models.

Gather feedback continuously from customers and incorporate it into your development cycles. By doing so, each iteration of the product not only aligns with business objectives but also addresses the challenges that users face. This customer-centric approach will allow you to remain flexible and responsive to changing demands, ensuring that you deliver value consistently and efficiently.

To understand the customers and users : Develop detailed user personas to understand the needs, preferences, and challenges of your target audience. This foundational step ensures a customer-centric approach. Actively seek and listen to user feedback through surveys, interviews, or usability testing. Understand their pain points, expectations, and aspirations.

Everything starts by understanding and knowing your customers and users. Design thinking tools and techniques play an important role in understanding customer needs and wants with an empathy and customer centric mindset. Begin by gathering data through surveys, interviews, and analytics. Gemba walk is helpful tool here. Develop user personas—imaginary characters representing different user types. Follow and map users’ journeys—where they go, what they like, and what frustrates them. Identify pain points and opportunities. Group users based on similar habits or interests. This helps create a clearer picture of different user segments.

🔆 Prioritizing customers and users begins with a comprehensive understanding of their demographics, preferences, and behaviors. Employing diverse methods like surveys, interviews, and analytics enables thorough data collection and analysis. Developing personas and journey maps aids in visualizing customer journeys and pain points, facilitating targeted solutions. Moreover, leveraging customer feedback and insights fosters continuous improvement and product optimization. By prioritizing customer understanding, businesses can tailor products and services to meet specific needs and enhance overall user experience, fostering long-term loyalty and satisfaction.

Putting customers and users first requires truly understanding who they are and what they need. Bring to bear the various techniques of surveying, interviewing, feedback, and analytics to gain insight. Create personas and journey maps that illustrate their experiences and identify the pain points, goals, and expectations of these users. With this deep understanding, prioritize features and improvements that deliver the most value. Continuously validate, through feedback loops, that your strategy is following the needs of the customers by keeping them at the center of every decision.

Prioritizing Customers usually becomes important when you have limited resources with a high demand, or when you choose to select your customers and choose to serve a niche market in terms of value, in terms of solutions opted or when you need to introduce a new product or solution to a customer and require certain demographics to be aligned like the age, the geography, the earning etc. When our purpose is clear, it is then important to align the methods of collecting data on our customers in terms of understanding their problems, pain points and align the BANT methodology. We should be focusing on the buyer's perspective than the selling perspective.

While building customer understanding, remember it's essential to involve a diverse set of people who have differing perspectives - i.e. representatives from different departments of your business. In addition to the exercises already mentioned, I'd encourage you to take a look at empathy mapping. It can greatly help teams gain a deeper understanding of customers' emotions, thoughts, and pain points, which can lead to solutions that target their needs better.

Articulate your value proposition with an experiential workshop. Immerse cross-functional teams in customer scenarios to elicit emotional, social, and functional jobs-to-be-done. Uncover differentiation through competitive analysis informed by market research. Rapidly ideate and prototype value proposition canvas variants. Validate with quantitative concept testing fueled by conjoint analysis. Optimally position value with permutation analysis across customer segments. Crystalize value proposition with salient messaging refined through NLP. Continuously optimize value delivery through in-market experimentation.

💠 Following understanding customers, defining a compelling value proposition is crucial. This statement succinctly communicates the unique benefits of your product or service to your target market. Utilizing tools like the value proposition canvas aids in articulating and validating your value proposition. Testing it with customers and users ensures alignment with their needs and preferences. A strong value proposition differentiates your offering in the market, attracting and retaining customers amidst competition. Additionally, regularly refining and adapting your value proposition based on feedback and market insights enhances its effectiveness and relevance over time.

Value proposition is utmost important to any organization. Markets are cluttered and customers do have various options. So providing your customer with a great reason as to why he has to come to you, over your competition should be very clearly stated in every interaction, not just verbally but also non verbally. Articulating your Why? is not easy. The following questions could help this process, 1. Who are the others your customers will go to, to get their requirement fulfilled if you are not there? 2. What do you offer better than them? 3. What would be the effects to your customer, when your offering is not there in the marketplace? These could help you to build your why?

One thing I find helpful in 1. identifying the customer need, 2. linking the value we are trying to achieve, and 3. aligning the first two, is to use the following easy-to-use canvas. Developed by Alexander Osterwalder, the Value Proposition Canvas is a tool for marketers, product owners and value creators. The canvas is divided into two parts. On the right, you look at the customer and their needs; on the left, you go into your value proposition and show how your services address the customer's needs. If the two fit together, you have a problem-solution fit. After this try to articulate a Value Positioning Statement (following G Moore‘s template).

Clearly articulate the unique value your product or service offers to customers. Define what sets you apart and how your solution addresses the specific needs of your users. Align your features and functionalities with the core values and benefits that resonate with your customers. Ensure that every aspect of your product adds value from the user's perspective.

Highlight unique features, benefits, and solutions your product brings. Tell your users how your product solves their problems, meet their needs, and offers superior value compared to alternatives. For example, you can write down the benefits, pains, and solutions provided by your product on the value proposition canvas. Match them up and validate with users via surveys or interviews. Or, you can outline important elements using the lean canvas, such as the problem, solution, unique value, channels, customer segments, revenue streams, and cost structure. Share it with users, get their input, and make adjustments.

Your value proposition should be seen as a living entity rather than a static statement. Remember you operate in a dynamic environment. New options constantly emerge, fulfilling customer needs via innovative approaches. The needs and preferences of your customers also evolve over time. Adapting to a changing environment with short iterative feedback loops is at the very heart of Agile. To this end, incorporate a robust feedback-driven approach into your product development cycles. Keep the feedback loops short and base them on actual data you collect from your users and about your competition. Pivot or adjust your value proposition based on the insights you gather.

In defining your product within an agile framework, start by asking, "What problem do we want to solve?" This question is crucial as it sets the foundation for your product's purpose. Next, articulate the value proposition of your product – what unique benefits does it offer, and why should users or customers choose it over alternatives?

◼️ Aligning vision and goals with customer needs ensures strategic focus and relevance. Your vision outlines the long-term direction and purpose, while goals define specific, measurable outcomes. Tools like the product vision board or OKR framework aid in communicating this alignment to teams and stakeholders. By integrating customer insights into vision and goal-setting processes, businesses ensure alignment with market demands. Regular review and adjustment of vision and goals based on customer feedback and market trends enhance adaptability and competitiveness. This customer-centric approach fosters innovation and drives sustainable growth, strengthening relationships and loyalty.

I like to think in terms of key customer outcomes - what do we want to happen for the customer? Usually this means that the customer is discovering, understanding the value of, or enjoying one or more of the product features. There are a lot of little steps and micro measures on the way there. Making sure the customer is aware of the value of product features is itself valuable to the customer. Don't shy away from advocating your own product.

Craft a vision statement that emphasizes a customer-centric approach. Ensure that your goals align with delivering exceptional value and experiences to your customers. Set SMART (Specific, Measurable, Achievable, Relevant, Time-bound) goals that reflect customer satisfaction, retention, or other metrics indicative of user value.

Ensure the team knows the goal they are trying to achieve and that the goal is for the customers. Why are we here? To make this for our customers and make it the best quality we can.

Activate vision and goals with collaborative design sprints. Sketch the future state and tell compelling stories. Make vision tangible with immersive VR prototyping. Uncover alignment gaps with AI-powered sentiment analysis. Set objectives based on data-driven market simulations. Cascade goals cross-functionally with systems thinking workshops. Energize teams by linking goals to passion. Boost commitment with cohort challenges and incentives. Continuously realign with regular huddles guided by OKR metrics. Keep vision and goals vibrant with weekly pulse surveys powered by NLP. Foster autonomy within alignment with clear decision rights.

1. First, you need to set clear long-term vision and goals. Imagine that you're building an AI-powered wellness app. 2. Create proposition addressing user needs and value. For example, offer personalized workout and meal plans using AI analysis of user data. 3. Use product vision board to visualize the app's future features, like a feature that tracks users' health trends and provides AI-driven recommendations. 4. Define Objectives and Key Results linking to user needs using OKR framework. For example, Objective could be "Enhance user health and fitness levels", and the Key Result could be something like "Launch AI-powered health trend tracking." 5. Finally, regularly assess if updates and features align with the goals you set.

1. Avoid relying solely on your gut instinct. Incorporate tangible metrics like numeric scores (1 to 10, or Fibonacci), or even shirt sizes instead. By associating these specific values with various prioritization factors such as impact, effort, risks, etc. you take the subjective guesswork out and introduce a more measurable approach. 2. Using one prioritization technique is ok, but combining two, such as MoSCoW and Value/Effort Matrix adds an extra layer of depth. Must-Have's are not always Quick Wins. 3. Visualize by drawing a MoSCoW funnel on a whiteboard. Place "Won't Have" notes in the column on the left side. As you move right, things get narrower and more focused until you hit the "Must Have" essentials and the sprint backlog.

If not utilizing WSJF with its built-in features, consider embracing a Cost of Delay (CoD) framework. Traditionally centered around monetary value, this model can be tailored to prioritize customer value, aligning seamlessly with Agile principles.

Take a data-driven approach to backlog prioritization. Score items using algorithms that factor in value, risk, time, and complexity. Leverage A/B testing and conjoint analysis to quantify potential value. Estimate level of effort with AI-powered sizing. Assess technical risk through automated code reviews. Model business impact and dependencies with system dynamics. Visually map priorities with networked Kanban boards. Democratize prioritization with real-time crowd voting. Maintain priority fidelity with relative weighting. Re-prioritize dynamically with continuous regression. Foster outcome-based autonomy within guardrails. Accelerate delivery of top items through swarming.

Prioritization is important , you must ensure you prioritize your backlog. Use user story mapping techniques to organize your backlog based on user journeys. Prioritize features that directly impact user experience and satisfaction. Evaluate each backlog item based on its potential impact on users and the effort required for implementation. Prioritize items that offer the most significant value with reasonable effort.

✒️ Prioritizing the backlog is pivotal in delivering value to customers and users efficiently. Criteria like value, urgency, effort, and risk guide this process. Techniques such as MoSCoW, Kano model, RICE score, and WSJF formula aid in decision-making. Additionally, considering dependencies and incorporating user feedback ensures alignment with customer needs. Regular review and adjustment of priorities based on changing requirements and market dynamics optimize resource allocation. By prioritizing the backlog effectively, teams can focus on delivering impactful features and enhancements, enhancing overall customer satisfaction and product success.

Prioritize backlog items that offer the most value to customers. Regularly discuss priorities with users to understand their needs, even if they're unsure. This engagement ensures that the product development is user-focused and aligned with providing real value, an essential aspect of agile methodology.

Rapidly validate assumptions by synthesizing multiple testing methods. Start with secondary market research to size the opportunity. Conduct concept and usability testing with online panels. Build MVPs to test core hypotheses. Run A/B and multivariate experiments to optimize. Analyze usage data and digital body language with AI. Monitor social listening and reviews. Talk to users in online focus groups. Distribute quick pulse surveys powered by NPS. Leverage data science to uncover behavioral insights. Maintain an always-on feedback loop. Continuously curate and rank assumptions in a hypothesizing backlog. Take a disciplined, evidence-based approach to iteration.

Adopt lean validation principles to test assumptions early and often. Conduct minimum viable product (MVP) releases to gather real user feedback and validate whether your assumptions align with user needs. Implement A/B testing for features and functionalities to assess their impact on user behavior and preferences. This data-driven approach helps refine your strategy based on actual user responses.

1.User Testing: Have users try out your product prototype to gather feedback on navigation and interactions 2. Surveys & Interviews: Poll users about desired functionalities. Conduct interviews to grasp pain points (e.g., complex registration, confusing checkout process, slow loading times, etc.) 3. Market Research: Analyze similar products in the market, identify trends, and user preferences via reviews and forums 4. Data Analysis: Analyze user behavior within your product, to confirm user preferences and feature popularity 5. Prototyping: Develop interactive feature mock-ups to gauge user reactions 6. A/B Testing: Test different versions of a feature – like a new user interface or navigation – to see which resonates better with users

Leverage the power of cross-functional Agile teams by involving designers, developers, and testers in the assumption validation process. You could hold "assumption hacking" sessions with the teams to brainstorm ways to invalidate assumptions. Foster a culture where assumptions are communal responsibilities, owned not solely by product managers, but embraced collectively by the entire team.

It's a must to have continuous and rapid improvement loops in your Agile process. If you don't, you can hardly call it Agile. Make sure teams reflect regularly on their performance, identify areas for improvement, and make incremental adjustments. Encourage teams to celebrate successes but also delve into their failures openly and constructively. Remember that decisions are always owned collectively by the team, not by individuals, so there's no point in finding someone to blame.

1. Keep an eye on usage patterns in product analytics. If most users drop off at a certain point, streamline that process. For example, if users abandon carts, simplify checkout. 2. Listen to user feedback and act on it. User requests almost always show new feature demand, like offline access or dark mode. 3. Test variations based on user suggestions. If users want a cleaner app interface or a quicker search, test different layouts and see which gets better engagement. 4. Prioritize critical bug fixes affecting user experience. Prioritize it over other updates. 5. Consistently roll out improvements. Enhance your product based on user feedback.

In your agile strategy, prioritize customers and users by cultivating a mindset that goes beyond merely meeting requirements to actively engaging with customers to understand and solve their problems. Develop a lean value stream that aligns closely with customer needs, characterized by frequent, sustainable, and high-quality deliveries. Incorporate a robust feedback cycle with continuous improvement plans to ensure that your strategy consistently prioritizes the needs and experiences of customers and users.

1. User feedback is invaluable. Some of the best features come from those who use your product on a regular basis. Always listen to your users. 2. Always have customer happiness on your mind. You build your product for your customers, users, clients, call them whatever you want. 3. Always ask questions. Always. In fact, never stop asking questions, because if you do, you'll start guessing, and if you start guessing, you are doomed. 4. Only data and clear metrics counts when building a product. Avoid the murky waters of vague assumptions.

Remember that gathering valid and actionable feedback from customers is essential for Agile success. Involve your key customers and let them see the benefits of it to motivate them to provide feedback. In your organization, cultivate a culture of learning. Encourage teams to share their learnings, whether from successful features or failed experiments, to promote knowledge sharing and prevent repeated mistakes. Psychological safety is paramount. In Agile, anyone should feel secure to point out mistakes or suggest improvements, promoting collaboration. Embrace experimentation with courage. Experiments are often the best way to test an idea, and trying things out aligns perfectly with Agile's very essence.