The "Story" Of Exploring Markets and Users in SAFe Product Management

⭐ القصة الممتدة: رحلة كريم في Exploring Markets & Users حسب SAFe

(بالعناوين الرسمية وكل نقطة بشرح يشبه الوثائق)

1️⃣ Exploring the Market Landscape — فهم السوق مش زي ما تتوقعه

القصة:
في أول أسبوع، كريم كان فاكر إنه فاهم السوق كويس… لحد ما نزل بنفسه وقابل الناس.
لما سألهم عن التتبع، اكتشف إن أهم حاجة مش “السرعة”…
لكن الوضوح.
واحد قال له:

“قولولي الطرد فين… حتى لو متأخر.”

ساعتها فهم إن اللي competitors عاملينه مش دايمًا الصح… وإن السوق دايمًا أعمق من الانطباعات الأولى.

📘 شرح يشبه وثائق SAFe (لكن مربوط بالقصة)

في SAFe، Exploring the Market Landscape هو عملية مستمرة لجمع insights تساعد الفريق يفهم البيئة الخارجية.
وتشمل:

  • Market Segmentation: تحديد الشرائح اللي كريم لاحظها وهو بيكلم الناس في المول.

  • Trend Analysis: فهم إن الاتجاه الجديد هو الشفافية، مش مجرد تحسين واجهة التتبع.

  • Competitive Research: كريم لاحظ إن المنافسين عندهم features كتير لكنها مش بتعالج المشكلة الحقيقية.

الفكرة الأساسية إن Product Manager لازم "يشوف بنفسه" قبل ما يحط خطط.

2️⃣ Understanding the Users — المستخدم مش رقم… ده إنسان له مواقف

القصة:
رجع كريم وعمل مقابلات مع 12 مستخدم.
سمع كلام غيّر نظرته تمامًا:
واحدة قالت:

“أنا مش فارق معايا الديزاين… قولولي بس أرتّب يومي على وصول الطلب.”

واحد تاني قال:

“اعملولي خريطة زي Uber وخلاص.”

وهنا كريم أدرك إن users مش بيدوروا على tracking…
هما بيدوروا على control.

📘 شرح SAFe المرتبط بالقصة

في SAFe، Understanding the Users يعتمد على أدوات زي:

  • Personas: كريم جهّز 3 شخصيات: الأم، الموظف، heavy user.

  • Empathy Maps: فهم مشاعر القلق لما الشحنة تتأخر، أو الإحباط من الرسائل الغامضة.

  • Problem Statements: تدوين المشكلة الحقيقية: “المستخدم لا يريد تتبعًا… يريد توقعات موثوقة.”

الهدف هو ترجمة صوت المستخدم لحاجات واضحة… وده اللي كريم عمله.

3️⃣ Aligning Exploration with Strategy — ربط اللي فهمه بالـ Vision والـ Portfolio

القصة:
بعد ما جمع insights، جلس كريم مع الـ Business Owner والـ System Architect.
قال لهم:

“إحنا مش هنتنافس إننا نزود features… هنتنافس إننا نفهم.”

وحوّلوا الأفكار إلى:

  • Epics: Real-Time Tracking Transparency

  • Features: خريطة، Timeline، إشعارات ذكية

  • MVP: أبسط نسخة فيها الشفافية.

📘 شرح SAFe المرتبط بالقصة

في SAFe، المحور دا يربط الاستكشاف بالـ Strategic Themes.
يشمل:

  • Using Lean Business Cases: كريم قدم justification إن الـ transparency هتقلل شكاوى العملاء 40%.

  • Prioritization with WSJF: اختاروا feature الخريطة لأنها أعلى قيمة/مجهود.

  • Creating Roadmaps: رسموا خطة 3 شهور مع MVP سريع.

ده يضمن إن insights مش مجرد كلام… لكنها بقت roadmap واضحة.

4️⃣ Collaborating and Continuous Learning — الرحلة مشتركة مش فردية

القصة:
كريم جمع الـ UX والـ Agile Team.
عملوا prototype بسيط.
جاب مستخدمين يشوفوه…
وكل مرة المستخدم يقول "آه كده فاهم"، الفريق يتحمّس أكتر.

وفي كل Sprint Review، كانوا بياخدوا feedback ويعدّلوا.

📘 شرح SAFe المرتبط بالقصة

SAFe بيعتمد على:

  • Collaboration Across Roles: UX + Product + Dev + Business Owners بنفس الطاولة.

  • Rapid Experimentation: تجربة prototypes قبل ما يبدأ التطوير.

  • Inspect & Adapt: كل PI بيقيموا اللي حصل ويعدلوا بناءً على feedback المستخدم.

وده اللي خلّى الفريق عند كريم كله فاهم “ليه” قبل “إزاي”.

5️⃣ Delivering Value — النجاح مش في تسليم Features… النجاح في رضا المستخدم

القصة:
بعد 3 شهور، نزل الـ MVP.
المستخدمين قيموه 4.6/5.
ولما سألوهم “ليه؟”
قالوا:

“أول مرة حد يفكر فينا بجد.”

كريم وقف يوم الإطلاق وقال:

“Exploring Markets & Users مش checklist…
ده إنك تبني لناس حقيقية.”

📘 شرح SAFe المرتبط بالقصة

في SAFe، الهدف هو:

  • Delivering Value Continuously: كل PI يقدم حاجة لها impact.

  • Measuring Outcomes: مش بس feature delivered… لكن customer satisfaction.

  • Improving Flow: MVP سمح بالتحسين على مراحل بدل الانتظار.

ودي كانت الخلاصة اللي كريم عاشها بنفسه.

Exploring Markets and Users in SAFe Product Management

In the Scaled Agile Framework (SAFe), product management plays a crucial role in ensuring that the organization builds the right products for the right markets. While development teams focus on delivering features efficiently, product managers look outward — toward markets, users, and evolving opportunities — to guide strategic direction.

1. Understanding the Market Landscape

Effective product management begins with deep market understanding. SAFe product managers continuously explore their environment to identify trends, competitor movements, regulatory changes, and shifts in customer expectations. This process isn’t a one-time activity; it’s an ongoing cycle of observation, validation, and adjustment.

  • Market segmentation: Define and prioritize market segments where the product can deliver the highest value.

  • Competitive analysis: Regularly benchmark against existing and emerging competitors.

  • Market trends: Track technological, economic, and social factors influencing customer behavior.
    By synthesizing this information, product managers create market insights that guide portfolio strategy and investment decisions.

2. Knowing the Users and Their Needs

In SAFe, users are central to product decisions. Product managers and product owners collaborate to understand who the users are, what problems they face, and how they experience current solutions. Techniques like user interviews, journey mapping, and persona development help uncover pain points and unmet needs.

  • Personas: Represent target users to align the entire team around real human needs.

  • Empathy mapping: Explore users’ thoughts, feelings, and motivations.

  • Validation: Use prototypes, MVPs, and usability tests to confirm assumptions early.
    This user-centric approach ensures that the product vision reflects both market potential and real user value.

3. Aligning Exploration with Strategy

Market and user exploration doesn’t happen in isolation. In SAFe, it’s tightly connected to strategic themes and portfolio vision. Product managers translate external insights into actionable roadmaps that align with enterprise goals. They define epics and features that reflect market opportunities and ensure every investment supports strategic priorities.

  • Strategic themes provide the “north star” for exploration.

  • Lean business cases help decide which opportunities deserve funding.

  • Customer feedback loops ensure continuous alignment with evolving needs.

4. Collaboration and Continuous Learning

SAFe promotes a culture of continuous learning. Product managers partner with system architects, UX designers, business owners, and agile teams to experiment and learn fast. Market exploration feeds into backlog refinement and prioritization, helping teams focus on the highest-value features.

  • Innovation cycles within Program Increments (PIs) allow testing of new ideas.

  • Inspect and Adapt events provide structured opportunities to review market and user insights.

5. Outcome: Building Products That Matter

By systematically exploring markets and users, SAFe product management ensures that each product increment moves the organization closer to its vision. The goal isn’t just delivery — it’s delivering value that resonates with users and sustains business growth.

Comments

Post a Comment

Popular posts from this blog

Maxpooling vs minpooling vs average pooling

Image
Pooling is performed in neural networks to reduce variance and computation complexity. Many times, beginners blindly use a pooling method without knowing the reason for using it. Here is a comparison of three basic pooling methods that are widely used. The three types of pooling operations are: Max pooling: The maximum pixel value of the batch is selected. Min pooling: The minimum pixel value of the batch is selected. Average pooling: The average value of all the pixels in the batch is selected. The batch here means a group of pixels of size equal to the filter size which is decided based on the size of the image. In the following example, a filter of 9x9 is chosen. The output of the pooling method varies with the varying value of the filter size. The operations are illustrated through the following figures. Average, Max and Min pooling of size 9x9 applied on an image We cannot say that a particular pooling method is better over others generally. The choice of pooling operation is made...
Read more

Best Practices for Storing and Loading JSON Objects from a Large SQL Server Table Using .NET Core

 Best Practices for Storing and Loading JSON Objects from a Large SQL Server Table Using .NET Core Introduction JSON (JavaScript Object Notation) is widely used for storing structured data in SQL Server. However, when dealing with large tables, inefficient handling of JSON data can lead to performance bottlenecks, high storage costs, and slow queries. In this article, we will cover best practices for saving and loading JSON objects from large SQL Server tables using .NET Core. We will focus on storage strategies, indexing, efficient querying, and optimized data retrieval using Entity Framework Core (EF Core) and Dapper. --- 1. Choosing the Right Storage Strategy SQL Server supports JSON natively, but choosing the correct storage method depends on your use case. Option 1: Store JSON as NVARCHAR(MAX) (Best for Flexibility & Simplicity) ✔ Ideal for semi-structured or frequently changing data. ✔ Suitable when you need to store the entire JSON object but rarely query individual fiel...
Read more

Generative AI - Prompting with purpose: The RACE framework for data analysis

Image
  Prompting with purpose: The RACE framework for data analysis We've already established that the quality of your prompts directly influences the quality of your AI-generated outputs. A well-crafted prompt acts as a guiding light, leading the AI toward insightful and actionable results. But how can we consistently achieve this level of clarity and precision in our prompts? Let’s look into the RACE framework—an invaluable tool to elevate your prompts, ensuring they are clear, insightful, and evidence-based. This framework offers a structured approach to prompt engineering, helping you break down complex tasks into manageable steps and communicate your intentions effectively to the AI. This reading will assist you with developing a powerful methodology with generative AI for your data analysis tasks, leading to more accurate, relevant, and impactful results. What is the RACE framework? RACE is an acronym that stands for Research, Answer, Cite, and Expand. It serves as a valuable fram...
Read more