Article Header_Project.png

All
How to Develop Your Own Project Planning Tool

All

What is a Project Planning Tool?

A project planning tool is a software application designed to help people and teams organize, manage, and track the progress of their projects. These tools are essential for ensuring that projects are completed within the defined scope, time, and budget constraints. They facilitate various aspects of project management, including task assignment, scheduling, resource allocation, risk management, and communication among stakeholders. 

Core Features of Project Planning Tools

  1. Task Management: allows users to create, assign, and manage tasks. Each task can be defined with deadlines, dependencies, priorities, and related resources. This helps in breaking down the project into manageable units and ensures accountability.
  2. Scheduling: includes tools like calendars and Gantt charts to help visualize the timeline of the project and the sequencing of tasks. Scheduling helps in planning the start and end dates for tasks and identifying the critical path of the project.
  3. Resource Allocation: enables managers to assign resources (both human and material) to specific tasks, monitor availability, and manage workload to avoid over-allocation and conflicts.
  4. Collaboration: features such as shared workspaces, messaging systems, and document sharing help improve communication among team members and stakeholders. This ensures that everyone is aligned and informed about project developments.
  5. Reporting and Analytics: provides reports on project progress, resource usage, budget status, and other key metrics. These insights are crucial for project managers to make informed decisions and keep the project on track.
  6. Risk Management: tools to identify, analyze, and manage potential risks associated with the project. This includes setting up alerts for when tasks are off track, creating backup plans, and maintaining risk logs.

Benefits of Project Planning Tools

  1. Improved Organization: helps in organizing all aspects of a project, from scope definition to resource allocation, ensuring that nothing is overlooked.
  2. Enhanced Communication: keeps all team members and stakeholders in the loop with real-time updates and centralized communication tools, reducing misunderstandings and conflicts.
  3. Increased Efficiency: automates routine tasks, streamlines processes, and reduces the time and effort required to manage projects.
  4. Better Time Management: enables precise tracking of project timelines and individual tasks, helping to ensure that projects meet their deadlines.
  5. Budget Management: provides tools to track expenditures, compare costs against the budget, and adjust allocations to stay on financial track.
  6. Risk Reduction: helps in early identification and mitigation of risks, minimizing their impact on the project’s success.
  7. Documentation and Compliance: ensures all project documentation is stored in one place and can be easily accessed for compliance and auditing purposes.

Common Use Cases

Project planning tools are widely used across industries for managing all types of projects, from IT and software development projects to construction, marketing campaigns, and event planning. They are suitable for teams of all sizes, from small startups to large enterprises.

Step 1: Define Your Requirements

The first step in creating a custom project planning tool is to clearly define what you need from it. Consider the specific challenges and limitations you face with current project management systems. Gather input from potential users including project managers, team members, and other stakeholders to understand their needs and preferences.

  • Identify Core Features: what are the must-have features for your tool? Common features include task management, timelines, resource allocation, and collaboration tools.
  • Scalability and Flexibility: ensure that the tool can grow with your project needs and is adaptable to various project sizes and complexities.
  • User Interface: aim for a user-friendly interface that is intuitive and reduces the learning curve for new users.

When developing a project planning tool, it's crucial to establish a comprehensive set of requirements that address both the functional and non-functional aspects of the system. These requirements will guide the development process and ensure the tool meets the specific needs of your team or business. 

Here’s a detailed breakdown of the key requirements to consider:

Functional Requirements

1. Task Management

  • Ability to create, assign, and track tasks with deadlines;
  • Options for setting priorities, statuses, and dependencies among tasks;
  • Integration of checklists or subtasks for detailed task breakdowns.

2. Project Scheduling

  • Calendar integration for planning and visualizing project timelines;
  • Gantt charts or similar tools for understanding task dependencies and project flow;
  • Automatic adjustments of schedules based on task progression or delays.

3. Resource Management

  • Tools to allocate resources (both human and material) to specific tasks;
  • Visibility into resource availability and utilization rates to prevent overallocation;
  • Integration with budget management features to track financial resources.

4. Collaboration Tools

  • Real-time communication features such as messaging or comment sections within tasks;
  • File sharing and document management capabilities;
  • Activity streams or dashboards to monitor updates and changes.

5. Reporting and Analytics

  • Customizable reports on project status, resource allocation, and budget usage;
  • Ability to generate insights on project performance, milestones reached, and risk indicators;
  • Exportable data formats for reporting and presentations.

6. User Access Management

  • Multi-level permission settings to control access based on roles;
  • Options for external and internal users to interact with the project tool securely;
  • Audit trails for tracking changes made by users.

Non-Functional Requirements

1. Usability

  • Intuitive user interface that minimizes learning curve for new users;
  • Responsive design to accommodate various devices like smartphones and tablets;
  • Consistent and clear navigational structures.

2. Scalability

  • Ability to handle an increasing amount of work and number of users without degradation in performance;
  • Flexibility to add more features or integrate with other tools as needs evolve.

3. Reliability

  • High availability of the tool with minimal downtime;
  • Robust error handling and data recovery mechanisms to prevent data loss.

4. Security

  • Strong authentication and encryption methods to protect sensitive project information;
  • Compliance with relevant data protection regulations (e.g., GDPR, HIPAA);
  • Regular security updates and vulnerability assessments.

5. Performance

  • Fast response times for user interactions and data processing;
  • Efficient handling of large datasets and simultaneous user requests;
  • Optimized for speed and efficiency to enhance user experience.

6. Support and Maintenance

  • Provision for ongoing technical support and troubleshooting;
  • Regular updates and upgrades to improve functionalities and address bugs;
  • Clear documentation and user guides for easy onboarding and reference.

Integration Requirements

1. Third-Party Integrations

  • Compatibility with popular productivity tools like email clients, calendar apps, and cloud storage services;
  • APIs for integrating with enterprise systems such as ERPCRM, or HRM;
  • Seamless data exchange capabilities with other project management tools.

Step 2: Plan the Development Process

With a clear understanding of your requirements, you can begin planning the development of your tool. Decide whether you will develop in-house or outsource to a software development company.

  • In-House vs. Outsourcing: consider your team’s expertise and the cost implications of both options. Outsourcing can be beneficial if your in-house team lacks the necessary skills or if you want to accelerate development.
  • Technology Stack: choose technologies that are robust, scalable, and compatible with various platforms and devices.
  • Development Phases: break down the project into manageable phases, typically starting with a minimum viable product (MVP) that includes core functionalities.

Planning the development process for a project planning tool involves multiple stages, from initial design to final deployment. Effective planning ensures that the tool is developed efficiently and meets all intended requirements. 

Here’s a step-by-step guide on how to plan the development process for your custom project planning tool:

1. Define Objectives and Scope

Start by clearly defining the objectives of the project planning tool. Understand what problems it needs to solve and what success looks like. Define the scope of the tool carefully to avoid scope creep during development. Decide which features are must-haves and which can be considered for future updates.

2. Gather Requirements

Conduct meetings with stakeholders including project managers, team members, and IT staff to gather detailed requirements. This includes functional requirements (features, functionalities, user roles) and non-functional requirements (performance, usability, security). Document these requirements clearly to serve as a blueprint for the development process.

3. Choose the Right Technology Stack

Select a technology stack that best fits the project requirements and your team's expertise. Consider factors like:

  • Front-end: frameworks such as React, Angular, or Vue.js for dynamic user interfaces.
  • Back-end: languages like Python, Ruby, or Node.js and frameworks like Django, Rails, or Express.js.
  • Database: choices like PostgreSQL, MongoDB, or MySQL depending on data handling needs.
  • Cloud Services: AWS, Azure, or Google Cloud for hosting, storage, and additional services like machine learning.
  • DevOps Tools: Docker for containerization, Jenkins for continuous integration, and Kubernetes for orchestration if scaling is a concern.

4. Design System Architecture and User Interface

Create a system architecture that supports scalability, reliability, and security. Design the user interface focusing on user experience, simplicity, and functionality. Use wireframes and prototypes to visualize the design and gather feedback from potential users.

5. Develop a Project Roadmap

Break down the development process into phases, typically starting with a Minimum Viable Product (MVP) that includes core functionalities. Plan subsequent phases to incrementally add features based on priority and feedback. Use agile methodologies such as Scrum or Kanban to manage the development process, allowing for flexibility and continuous improvement.

6. Allocate Resources

Determine the team composition needed for the project. Allocate developers, designers, project managers, and QA testers based on the skills required at each phase of the project. Consider hiring additional resources or outsourcing specific tasks if your current team lacks certain expertise.

7. Development and Implementation

Start the development according to the planned phases:

  • MVP Development: focus on building the core functionalities that address the primary needs.
  • Testing and QA: conduct thorough testing including unit testing, integration testing, and user acceptance testing (UAT) to ensure the software meets all requirements and is free of bugs.
  • Iterative Development: after launching the MVP, continue to develop additional features and enhancements based on user feedback and performance metrics.

8. Deployment and Integration

Deploy the tool in a controlled environment. Ensure all necessary integrations with other tools and systems are functioning correctly. Use automated deployment tools and practices to streamline the process.

9. Training and Documentation

Develop comprehensive user manuals, FAQs, and training programs to ensure users can effectively utilize the tool. Provide detailed documentation for future maintenance and upgrades.

10. Maintenance and Upgrades

Plan for ongoing maintenance to address any issues, update documentation, and ensure the tool remains compatible with other systems. Schedule regular updates to introduce new features and improvements based on user feedback and technological advancements.

Step 3: Design the Architecture

Designing the architecture of your project planning tool is critical. This involves laying out the technical framework and how different components of the tool will interact with each other.

  • Database Design: decide how you will store and retrieve data. Popular databases include MySQL, PostgreSQL, and MongoDB.
  • Frontend and Backend: choose appropriate frameworks and languages for the frontend and backend. For instance, React or Angular for the frontend, and Node.js or Ruby on Rails for the backend.
  • APIs: if your tool needs to integrate with other software, plan for API development that enables these integrations.

Designing the architecture for a project planning tool involves careful consideration of both the system's functionality and its scalability. The architecture should support all the tool's requirements, provide a robust and secure environment for data, and ensure that the user experience is seamless and responsive. 

Here's how you might approach designing the architecture for your project planning tool:

1. Define the Architectural Style

Microservices vs. Monolithic:

  • Monolithic: a single, unified codebase. Simpler to deploy and develop initially, but can become complex and unwieldy as the application grows;
  • Microservices: decomposes the application into smaller, interconnected services. This enhances scalability and allows for independent updating, testing, and scaling of components but requires more sophisticated management and orchestration.

2. Plan the Core Components

Frontend:

  • Technologies: choose frameworks and libraries such as React, Angular, or Vue.js, known for their responsiveness and component-based architectures;
  • Responsiveness: ensure the UI is responsive and accessible on various devices, including mobiles, tablets, and desktops, using CSS frameworks like Bootstrap or Foundation.

Backend:

  • Server-side languages: consider using Node.js, Python, or Ruby. These languages offer robust frameworks that can simplify building complex applications;
  • APIs: design RESTful APIs or consider GraphQL for handling complex, interrelated data and to enhance data retrieval processes on the frontend.

Database:

  • Type: decide between SQL (e.g., PostgreSQL, MySQL) or NoSQL (e.g., MongoDB, Cassandra) based on your data structure and query needs;
  • Schema Design: define a clear database schema that supports your data needs efficiently, focusing on task management, user data, and project metadata.

3. Consider Data Flow and Integration

Data Flow:

  • Ensure smooth and secure data flow between the frontend, backend, and database;
  • Utilize APIs for modular data exchange, especially if opting for a microservices architecture.

Integrations:

  • Plan for integration with external services such as email servers, calendar apps, and cloud storage solutions;
  • Use API gateways to manage requests and simplify the integration of different services.

4. Implement Security Measures

Authentication and Authorization:

  • Implement OAuth for secure access to the application;
  • Use JSON Web Tokens (JWT) for maintaining user sessions.

Data Security:

  • Encrypt sensitive data in transit using HTTPS and at rest using AES or similar encryption methods;
  • Regularly update software components to mitigate vulnerabilities.

5. Ensure Scalability and Reliability

Load Balancing:

  • Use load balancers to distribute traffic across servers, enhancing performance and reliability.

Redundancy:

  • Implement database replication and application redundancy to ensure high availability and data integrity.

Caching:

  • Utilize caching mechanisms like Redis to reduce database load and speed up response times.

6. Plan for Maintenance and Monitoring

Logging and Monitoring:

  • Integrate tools like Elasticsearch for logging and Kibana for log analysis;
  • Use monitoring tools like Prometheus and Grafana to track application health and performance.

DevOps Practices:

  • Implement continuous integration and deployment (CI/CD) pipelines using tools like JenkinsCircleCI, or GitHub Actions;
  • Use containerization with Docker and orchestration with Kubernetes if applicable, especially in a microservices setup.

7. Documentation and Compliance

Documentation:

  • Maintain comprehensive API and developer documentation to ensure ease of use and maintenance;
  • Document architectural decisions and rationale for future reference and team onboarding.

Compliance:

  • Ensure compliance with relevant laws and regulations such as GDPR for data privacy and protection.

Step 4: Develop the Tool

Begin the actual development of your project planning tool based on the designs and plans you have laid out.

  • MVP Development: start with developing the MVP, focusing on core functionalities that address the primary needs identified in your requirements gathering.
  • Testing: implement thorough testing phases to catch bugs and ensure the tool functions as intended. This should include unit tests, integration tests, and user acceptance testing.
  • Iterative Development: use feedback from testing phases to refine and expand the tool. Develop additional features based on user feedback and business priorities.

Developing a custom project planning tool involves several key stages, from initial setup to final testing and deployment. 

Below is a detailed guide on how to approach the development phase, ensuring that the project meets its objectives and is delivered on time and within budget.

1. Set Up the Development Environment

1. Choose Your Tools and Technologies:

  • Frontend: decide on a JavaScript framework or library (e.g., React, Angular, Vue.js);
  • Backend: select a backend language and framework (e.g., Node.js with Express, Python with Django);
  • Database: choose a database that matches your needs (e.g., PostgreSQL for relational, MongoDB for NoSQL);
  • Version Control: set up a Git repository on platforms like GitHub or Bitbucket to manage code versions and collaborate.

2. Development Tools:

  • Configure integrated development environments (IDEs) like Visual Studio Code, WebStorm, or PyCharm;
  • Set up build tools and package managers (e.g., webpack, npm, pip).

2. Design and Develop the Frontend

1. User Interface Design:

  • Create wireframes and mockups to visualize the layout and user flow;
  • Develop interactive prototypes to refine user experience and interface.

2. Implement the Design:

  • Use HTML, CSS, and your chosen JavaScript framework to build the user interface;
  • Ensure responsiveness and accessibility to accommodate various devices and users.

3. Integrate with Backend:

  • Connect the frontend with backend APIs to fetch, display, and send data;
  • Implement client-side logic to handle dynamic content, user interactions, and state management.

3. Backend Development

1. Set Up Server, APIs, and Database:

  • Configure the server framework and define API endpoints for handling requests;
  • Design and set up the database schema; implement data access layers.

2. Business Logic:

  • Code the logic for task management, scheduling, resource allocation, etc;
  • Implement security measures like authentication, authorization, and data validation.

3. Third-Party Integrations:

  • Integrate external APIs for additional functionalities such as email notifications, calendar integration, or advanced analytics.

4. Testing and Quality Assurance

1. Write Test Cases:

  • Develop unit tests for individual components and integration tests for APIs;
  • Create end-to-end tests to simulate user scenarios.

2. Execute Testing:

  • Run tests continuously using automated tools and CI/CD pipelines;
  • Conduct manual testing for usability, accessibility, and performance.

3. Bug Fixing:

  • Identify bugs through testing phases and user feedback;
  • Prioritize and fix bugs, update features based on testing results.

5. Deployment and Initial Rollout

1. Prepare Deployment:

  • Set up a production server or cloud service (AWS, Azure, Google Cloud);
  • Configure the environment, databases, and any required services.

2. Launch:

  • Deploy the application to the production environment;
  • Perform final pre-launch checks and ensure all systems are operational.

3. Monitor Post-launch:

  • Use monitoring tools to track performance and user behavior;
  • Be prepared to quickly address any issues or downtime.

6. Maintenance and Updates

1. Gather User Feedback:

  • Collect and analyze user feedback for insights into potential improvements;
  • Monitor usage patterns to identify popular features and potential bottlenecks.

2. Iterative Improvements:

  • Plan and implement feature updates and enhancements;
  • Regularly update the software to fix bugs, improve performance, and add features.

3. Continuous Support:

  • Provide ongoing support to users for any technical difficulties;
  • Keep documentation updated and offer resources for troubleshooting.

Step 5: Implement and Deploy

Once your tool is developed and tested, the next step is to implement and deploy it for use.

  • Deployment Environment: set up a reliable hosting environment. Cloud services like AWS, Azure, or Google Cloud offer scalable and secure options.
  • Training and Documentation: create comprehensive user manuals and training sessions to help users understand how to use the new tool effectively.
  • Launch: plan a phased rollout, starting with a pilot group to gather initial feedback before a full-scale launch.

Implementing and deploying a project planning tool involves several critical steps to ensure that the application is robust, user-friendly, and secure. This phase transitions your project from development to a live environment where users can start benefiting from the tool. 

Here’s how you can effectively implement and deploy your custom project planning tool:

1. Pre-Deployment Preparation

1. Finalize Code and Documentation:

  • Ensure all code is reviewed, finalized, and fully documented. This includes commenting on complex logic and maintaining an updated README file for setup and configuration instructions;
  • Conduct a thorough documentation review to ensure it accurately reflects the final deployment process and usage.

2. Environment Setup:

  • Set up your production environment. This may involve configuring servers, databases, and other infrastructure components on platforms like AWS, Azure, or Google Cloud;
  • Ensure that your environment complies with security standards and that all data transmission is encrypted using HTTPS.

3. Data Migration:

  • If migrating from an existing system, plan and execute a data migration strategy. This involves mapping data from the old system to the new one, performing data cleansing, and loading data into the new system’s database;
  • Conduct a trial data migration first to identify potential issues before the final transfer.

2. Deployment

1. Deployment Strategy:

  • Choose an appropriate deployment strategy (e.g., blue-green deployment, rolling update) that minimizes downtime and risk;
  • Use automation tools like Jenkins, GitLab CI/CD, or GitHub Actions to streamline the deployment process.

2. Configuration Management:

  • Utilize configuration management tools like Ansible, Chef, or Puppet to automate the setup of your servers and ensure consistency across your development, staging, and production environments;
  • Store sensitive configuration data such as API keys and database credentials securely using secrets management tools like HashiCorp Vault or AWS Secrets Manager.

3. Launch:

  • Deploy the application to the production server. Monitor the deployment process for any issues and ensure all components are functioning correctly;
  • Conduct smoke tests to confirm that critical features of the application are operating as expected in the production environment.

3. Post-Deployment

1. Monitoring and Logging:

  • Implement monitoring tools such as Prometheus, Grafana, or New Relic to keep an eye on system performance and health;
  • Set up logging with tools like ELK Stack or Splunk to capture and analyze logs for troubleshooting and performance monitoring.

2. User Training and Support:

  • Provide comprehensive training to end-users to ensure they understand how to use the tool effectively. This can include webinars, detailed user guides, and interactive help within the application;
  • Establish a support system with a helpdesk or online support portal to assist users with any issues or questions.

3. Feedback Collection:

  • Implement mechanisms for collecting user feedback, such as surveys, feedback buttons, or user forums. This feedback is crucial for identifying areas for improvement and guiding future development;
  • Regularly review feedback and usage data to understand how the tool is being used and to identify any common issues or bottlenecks.

4. Maintenance and Iterative Improvement

1. Continuous Improvement:

  • Based on user feedback and monitoring insights, plan and implement updates to the tool. This could involve fixing bugs, adding new features, or enhancing existing functionalities;
  • Maintain an iterative development process where the tool is continually refined and improved based on real-world usage and changing business requirements.

2. Security Updates:

  • Keep all your systems up to date with the latest security patches. Regularly review your security practices and update them as necessary to protect against new vulnerabilities.

3. Scalability Re-evaluation:

  • Periodically review the scalability of the tool as usage grows. Ensure that the infrastructure can handle increased loads and that the application scales efficiently both vertically and horizontally.

By carefully planning and executing each of these steps, you can successfully implement and deploy your project planning tool, ensuring it meets the needs of its users and provides a stable, effective platform for managing projects.

Step 6: Maintain and Update

The development of your project planning tool does not end with deployment. Ongoing maintenance is essential to ensure its continued effectiveness.

  • Regular Updates: regularly update the software to fix bugs, improve functionalities, and add new features as your project requirements evolve.
  • User Support: provide continuous support to users to address any issues and help them make the most out of your tool.
  • Performance Monitoring: continuously monitor the performance of the tool to ensure it meets the growing demands of your projects and users.

Maintaining and updating a project planning tool is crucial for ensuring it continues to meet user needs effectively and remains secure and efficient. This process involves regular monitoring, addressing emerging issues, and implementing improvements based on user feedback and technological advancements. 

Here’s a detailed guide to help you maintain and update your project planning tool effectively.

1. Establish a Maintenance Schedule

1. Regular Updates:

  • Schedule regular updates for your tool, focusing on both minor enhancements and major version upgrades. Establish a routine (e.g., monthly, quarterly) to evaluate, test, and deploy updates;
  • Stay informed about updates from third-party services and libraries used in your tool to ensure compatibility and security.

2. Security Patches:

  • Implement a process for monitoring security vulnerabilities and applying patches promptly. Subscribe to security bulletins related to the technology stack you are using;
  • Regularly review and update your security practices, including audits of data handling and storage procedures.

2. Monitor Performance and Usage

1. Performance Monitoring:

  • Utilize tools such as New Relic, Prometheus, or Grafana to monitor the performance of your project planning tool. Track key performance indicators (KPIs) like response times, server load, and error rates;
  • Analyze performance data to identify bottlenecks or areas for optimization, such as database queries, server configuration, or code inefficiencies.

2. User Activity Monitoring:

  • Implement analytics to track how users interact with the tool. This can include page views, feature usage, and user behavior patterns;
  • Use this data to understand which features are most and least popular, guiding development focus and resource allocation.

3. Collect and Implement User Feedback

1. Feedback Mechanisms:

  • Provide users with easy-to-use mechanisms for submitting feedback, such as in-app forms, email, or dedicated support channels;
  • Organize and categorize feedback to identify common issues or frequently requested features.

2. User Engagement:

  • Engage with users through regular surveys, user groups, or beta testing programs to gather detailed insights and validate new features before widespread release;
  • Consider setting up a community forum or regular webinars to keep users informed and engaged with ongoing developments.

4. Continuous Improvement and Feature Development

1. Feature Updates:

  • Plan for the addition of new features based on user demand, technological advancements, and strategic goals. Prioritize these developments to balance innovation with stability;
  • Develop and test new features in a staging environment to ensure they meet quality standards before deployment.

2. Refactoring and Optimization:

  • Regularly review the codebase for opportunities to refactor and optimize. This can improve performance, reduce complexity, and make future updates easier;
  • Update documentation concurrently with code changes to ensure it remains a reliable resource for users and developers.

5. Ensure Scalability

1. Infrastructure Scalability:

  • Monitor infrastructure capacity and scale resources as needed to handle increases in user load or data volume;
  • Consider adopting scalable cloud services or serverless architectures to facilitate dynamic scaling.

2. Database Management:

  • Regularly review database performance and scalability. Implement optimizations such as indexing, query optimization, and, if necessary, database clustering or sharding.

6. Provide Ongoing Support and Training

1. Support Services:

  • Maintain a knowledgeable support team that can assist users with technical difficulties, usage questions, and troubleshooting;
  • Use support interactions to gather further feedback and identify areas for improvement in the tool or its documentation.

2. Training Resources:

  • Continuously update training materials and online help resources to reflect new features and changes in the tool;
  • Offer periodic training sessions or tutorials to help new users get started and enable existing users to get more value from the tool.

Summary

Developing your own project planning tool can be a rewarding process that enhances your team's efficiency and adaptability to manage projects effectively. By following these steps, you can create a tool that exceeds your project management needs. 

Team up with SapientPro to develop your custom project planning tool. Our team knows all the must-have features of this software due to professional project managers and software engineers. We’ll bring all your ideas to life. Book a call now!

DEVELOPMENTSAPIENTPROSaaSDESIGN
related news
background image
DEVELOPMENTHow to Create an Investment Platform

Are you a company planning to launch an ambitious project? If your goal is to gain commercial advantage in the market, you shouldn’t overlook the prospect of developing an Investment Platform (IP). See for yourself why deploying an IP is a neat solution for those who want their marketing efforts boosted. In this post, we’ll look into the essence of digital investment platforms, their types, features, and cost. SapientPro’s professional software engineers have 7+ years of experience in the FinTech industry, providing top-tier сustom software development services. Read on to get some expert tips!

Max

10 min read

More related news