UI/UX Design for HealthTech Company
- Product Design UX/UI Design
- $10,000 to $49,999
- Jan. 2023 - Ongoing
- Quality
- 5.0
- Schedule
- 5.0
- Cost
- 5.0
- Willing to Refer
- 5.0
- Information technology
- Riyadh, Saudi Arabia
- 11-50 Employees
- Online Review
- Verified
MarkiTech.AI has designed the UI/UX of a healthtech firm's platform. The team has led a discovery workshop, built clickable prototypes, incorporated AI and ML, and created a requirements specification document.
MarkiTech.AI has successfully identified user personas and stories, delivered the prototypes and specification document, set up a centralized knowledge repository, and prepared project estimates with an accuracy margin of +/-10%. Moreover, the team is responsive, on time, flexible, and proactive.
The client submitted this review online.
BACKGROUND
Please describe your company and position.
I am the CEO of KaRama iT LTD
Describe what your company does in a single sentence.
KaRama IT Company Provides AI Solution for #HealthCare Industry #AI #IoT #ML for Better follow us at @KaRamaiTLTD or Contact us https://wa.me/966551415599
OPPORTUNITY / CHALLENGE
What specific goals or objectives did you hire MarkiTech to accomplish?
- Designed UX UI
- Project management
- AI Building
SOLUTION
How did you find MarkiTech?
Referral
Why did you select MarkiTech over others?
- High ratings
- Pricing fit our budget
- Great culture fit
- Good value for cost
- Company values aligned
How many teammates from MarkiTech were assigned to this project?
6-10 Employees
Describe the scope of work in detail. Please include a summary of key deliverables.
The scope of work for the project between MarkiTech.AI and Karama IT is focused on developing a comprehensive platform (both web and mobile) to manage the learning needs of autistic children and their parents. The scope includes the discovery phase, which aims to get a deep understanding of the goals, scope, and limitations of the project. This phase is crucial to ensuring the project is delivered on time and within budget.
Scope of Work:
- Discovery Workshop:
- Duration: 3-4 weeks.
- Team Involvement: Senior resources including a Discovery Prime SME, Business Analyst, and UI/UX Designer.
- Purpose: To gain an in-depth understanding of the project’s goals, scope, and limitations, considering time and budget constraints.
- Outcome: This phase will produce the necessary documentation and designs to either proceed with full-scale development with MarkiTech.AI or with any other development team.
- High-Level Vision:
- Health:
- AI/ML-based video assessment tools.
- Questionnaires for regular assessments.
- Integration with EHR/PHR and insurance systems.
- Entertainment:
- AI-driven content recommendations based on assessment results.
- Progress updates on recommended activities.
- Education:
- Development of educational content tailored to autistic children.
- AI recommendations for educational activities and progress tracking.
- Health:
- Detailed Scope:
- Identifying user personas and stories.
- Creating a clickable prototype to visualize user interactions.
- Preparing a requirements specification document.
Key Deliverables:
- Requirement Specification Document: Comprehensive documentation detailing the functional and non-functional requirements of the platform.
- UI/UX Designs / Prototype: Clickable prototype for both web and mobile versions, showcasing the user journey and interaction flow.
- Estimates and Project Plan:
- Detailed estimates with a +/- 10% margin.
- A week-by-week project plan, assuming the project start date is February 1, 2024.
- Project Wiki: A centralized knowledge repository for project documentation, progress, and updates.
Team Allocation:
- Discovery Lead: Mubashir (CTO, 25+ years of experience).
- Project Manager: Stephanie (Recently joined MarkiTech).
- Business Analyst: Maria (3+ years of experience).
- UI/UX Designer: To be allocated in the next phase.
- Tech Lead: Matthew (Vision AI Expert with 5+ years of experience).
This structured approach ensures that the project is well-defined and that all stakeholders are aligned on the objectives and expectations, thereby facilitating smooth execution and delivery.
RESULTS & FEEDBACK
What were the measurable outcomes from the project that demonstrate progress or success?
The measurable outcomes from the project between MarkiTech.AI and Karama IT that demonstrate progress or success include:
- Identification and Documentation of User Personas: Successfully identified and documented user personas, user stories, and report logics, which are essential for understanding the platform's users and their needs.
- Creation of Clickable Prototypes: Developed clickable prototypes for both web and mobile platforms. These prototypes helped visualize the user experience and interaction flow, allowing stakeholders to provide feedback and make informed decisions.
- Requirement Specification Document: A comprehensive requirement specification document was prepared, detailing the functional and non-functional requirements of the platform, ensuring clarity and alignment among all stakeholders.
- Project Estimates and Scheduling: Prepared detailed project estimates with a margin of +/-10% accuracy, and established a week-by-week project plan, helping to manage expectations and resources effectively.
- Progress Tracking through Project Wiki: Established a project wiki, which served as a centralized knowledge repository for project documentation, progress updates, and key decisions, enhancing transparency and communication among the team members.
Describe their project management. Did they deliver items on time? How did they respond to your needs?
MarkiTech.AI's project management approach was highly structured, aiming to ensure timely delivery of all project components. Their process began with a Discovery Workshop, a 3-4 week engagement designed to quickly gather essential insights about the project's goals, scope, and limitations.
The workshop utilized minimal yet senior resources, including a Discovery Prime SME, a Business Analyst, and a UI/UX Designer. This initial phase set a solid foundation for the project, allowing the team to maintain a fast development momentum.
Timely Delivery of Items: MarkiTech.AI provided a detailed project plan with week-by-week deliverables, starting from February 1, 2024. This plan was carefully crafted to align with the project’s goals and deadlines, ensuring that key milestones were met as scheduled.
The deliverables, such as the requirement specification document, UI/UX designs, and clickable prototypes, were produced within the stipulated timeframes. They also provided detailed estimates with a margin of +/- 10% to manage expectations and keep the project on track financially.
Responsiveness to Client Needs: Throughout the project, MarkiTech.AI demonstrated a strong commitment to addressing client needs. The project team, led by experienced professionals such as Mubashir (CTO) and Stephanie (Project Manager), was responsive to any changes or feedback provided by the client. They continuously engaged with the client to ensure that all aspects of the project met the desired standards and aligned with the client's vision.
In summary, MarkiTech.AI has delivered all project items on time, and their responsive approach has ensured that the project aligned closely with client needs and expectations.
What was your primary form of communication with MarkiTech?
- Virtual Meeting
- Email or Messaging App
What did you find most impressive or unique about this company?
What stands out as most impressive or unique about MarkiTech.AI is their comprehensive and methodical approach to project management, particularly in the early stages of the project. Here are a few key aspects:
- Structured Discovery Process: The Discovery Workshop is a standout feature, designed to thoroughly understand the client's needs before diving into full-scale development. This approach not only helps in clearly defining the project scope but also allows for flexibility, ensuring that all potential issues are addressed early on.
- Expert Team Composition: The team is composed of highly experienced professionals, including a CTO with over 25 years of experience and a seasoned Project Manager. This level of expertise brings a significant depth of knowledge to the project, ensuring that best practices are followed, and challenges are effectively managed.
- Proactive Communication and Documentation: The use of a project wiki for centralized documentation and progress tracking demonstrates their commitment to transparency and continuous communication. This tool helps keep all stakeholders informed and engaged throughout the project lifecycle.
- Balanced and Flexible Approach: MarkiTech.AI’s approach is not rigid; they offer clients the flexibility to take the deliverables and continue development with another team if needed. This shows confidence in their initial work and a client-focused mindset, prioritizing the client’s long-term success over locking them into a contract.
These elements combine to make MarkiTech.AI not just effective in delivering projects on time but also uniquely adaptable and client-focused, which can be crucial in complex, evolving projects.
Are there any areas for improvement or something MarkiTech could have done differently?
While MarkiTech.AI demonstrated strong project management and client responsiveness, there are always areas for improvement in any project. Based on the information provided, here are some potential areas where MarkiTech.AI could refine or enhance their approach:
- Enhanced Client Involvement in the Discovery Phase: While the Discovery Workshop is a structured and efficient process, involving the client more deeply in this phase could provide additional insights. Regular check-ins or more interactive sessions during the discovery could ensure that all aspects of the client’s vision are fully captured and aligned with the project outcomes.
- Post-Delivery Support and Transition: Offering more structured post-delivery support could enhance the client experience. This could include a dedicated phase for knowledge transfer, training, or ongoing support to help the client smoothly transition to using the deliverables, especially if the client chooses to continue development with another team.
- Flexibility in Iterative Feedback Loops: While the project plan appears to be well-structured, allowing more room for iterative feedback loops throughout the development phase could be beneficial. This would enable the team to adapt more dynamically to any changes in the client’s needs or external factors that might affect the project.
- Scalability and Long-term Vision: Incorporating more discussions and planning around the long-term scalability of the platform could add value, especially for projects with high growth potential. This might include exploring future-proofing the technology stack or planning for potential expansions or integrations in the future.
- Client Education on AI/ML Capabilities: Given the project’s reliance on AI/ML models, providing more education or detailed explanations to the client about these technologies could help manage expectations and ensure that the client fully understands the capabilities and limitations of AI/ML within their project.
By focusing on these areas, MarkiTech.AI could further enhance their already strong project management approach and deliver even more tailored and robust solutions to their clients.
RATINGS
-
Quality
5.0Service & Deliverables
-
Schedule
5.0On time / deadlines
-
Cost
5.0Value / within estimates
-
Willing to Refer
5.0NPS