Product Insight Loop — Fleet Data, Field Research and UX (Internship)

📍 Job Overview

Job Title: Product Insight Loop — Fleet Data, Field Research and UX (Internship)

Company: LionsBot International Pte Ltd

Location: Singapore, Singapore

Job Type: FULL_TIME

Category: Product Operations / UX Research / Data Analysis

Date Posted: 2026-08-26T07:28:47.731

Experience Level: 0-2 Years (Internship)

Remote Status: On-site

🚀 Role Summary

• This internship focuses on establishing a data-driven product development cycle by integrating fleet telemetry, field research, and user experience insights.

• The role involves quantifying robot usage, understanding user behaviors, prototyping solutions, and defining product requirements for engineering teams.

• It offers a unique opportunity to work across product management, UX design, and data analysis, providing a holistic view of product development.

• The core objective is to build a repeatable "insight loop" that translates raw data and user feedback into actionable product roadmap decisions and improvements.

📝 Enhancement Note: This role is specifically designed as an internship, targeting early-career professionals or students seeking hands-on experience in product development, data analysis, and user research within a technology-focused environment. The emphasis is on building foundational skills and contributing to a tangible product improvement process.

📈 Primary Responsibilities

• Data Analysis & Fleet Health Monitoring: Extract, clean, and analyze cloud telemetry data (e.g., task completion, error events) from the LionsCloud platform. Develop and maintain recurring dashboards to monitor fleet health across different product lines and geographical regions.

• Issue Prevalence Analysis: Consolidate field incident reports and voice-of-customer feedback into a centralized tracker. Generate monthly, fleet-normalized prevalence analyses to objectively rank issues based on their real-world impact.

• User-Centric Field Research: Conduct structured user research with cleaning operators, service technicians, and distributors, including on-site observations at customer deployments. Synthesize findings into journey maps and a prioritized list of user friction points.

• UX Prototyping & Usability Testing: Design wireframes and interactive prototypes for improvements to the on-robot interface and LionsCloud web/mobile applications using Figma. Conduct iterative usability testing with target users to validate and refine designs.

• Product Requirement Definition: Author requirement briefs and user stories for prioritized product improvements, clearly defining acceptance criteria and out-of-scope items. Support Product Managers in release planning and review.

• Feature Ownership & End-to-End Development: Take ownership of a small feature from problem definition and data evidence through design, specification, validation, and post-release measurement, under the guidance of a Product Manager.

• Playbook Development: Create a repeatable playbook for the entire insight loop process, documenting methodologies, queries, research scripts, and templates to facilitate knowledge transfer.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on quantitative data analysis and qualitative user research, bridging the gap between raw operational data and tangible product enhancements. The "insight loop" concept implies a cyclical process of data collection, analysis, ideation, prototyping, and validation, which is critical for agile product development.

🎓 Skills & Qualifications

Education:

• Pursuing or recently completed a Bachelor's or Master's degree in a relevant field such as Computer Science, Engineering, Human-Computer Interaction, Data Science, Business Analytics, or a related discipline. Experience:

• Demonstrated experience or strong academic background in data analysis, user research, or product development.

• Previous internship experience in a technology or product-focused role is a plus.

• Familiarity with agile development methodologies and product lifecycle management. Required Skills:

• Data Analysis & Interpretation: Ability to extract, clean, and analyze quantitative data from various sources. Proficiency in identifying trends, patterns, and insights from complex datasets.

• User Research Methodologies: Experience or strong understanding of conducting user interviews, observations, and usability testing to gather qualitative feedback.

• Prototyping & Wireframing: Proficiency with design tools like Figma for creating wireframes, interactive prototypes, and user flow diagrams.

• Requirement Writing: Ability to articulate product requirements, user stories, and acceptance criteria clearly and concisely for engineering teams.

• Problem-Solving: Aptitude for identifying user pain points and operational inefficiencies and proposing data-backed solutions.

• Analytical Thinking: Capacity to critically evaluate data, methodologies, and assumptions, and to articulate limitations.

Preferred Skills:

• SQL or Data Querying: Experience with SQL or other database query languages for data extraction.

• Data Visualization Tools: Familiarity with tools for building dashboards and visualizing data (e.g., Tableau, Power BI, or similar).

• Technical Writing: Experience in documenting technical specifications or product requirements.

• Journey Mapping: Experience in creating user journey maps to visualize user experiences and identify friction points.

• Cross-functional Collaboration: Ability to work effectively with diverse teams, including engineering, product, and service.

📝 Enhancement Note: Given the internship nature, the "0-2 Years" experience level is appropriate. The skills emphasize a blend of technical data handling, user-centric design thinking, and clear communication, which are foundational for any role contributing to product development from an operational or research perspective.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data Analysis Projects: Showcase examples of data analysis projects, including datasets used, methodologies applied, key findings, and the impact of the insights derived. This could be demonstrated through dashboards, reports, or analytical write-ups.

• User Research Case Studies: Present user research projects detailing the research objectives, methodologies (interviews, surveys, observations), participant recruitment, synthesis process, and actionable recommendations.

• UX/UI Design Artifacts: Include examples of wireframes, user flows, interactive prototypes (ideally linked or demonstrated via Figma), and usability testing reports that illustrate problem-solving through design.

• Product Requirement Documentation: Provide samples of requirement briefs or user stories, demonstrating clarity in defining problems, evidence, scope, and acceptance criteria.

• Process Improvement Documentation: Any examples of documenting processes, creating playbooks, or standardizing workflows would be highly beneficial, showcasing an understanding of repeatable systems.

Process Documentation:

• Workflow Design & Optimization: Candidates should be prepared to discuss how they approach understanding and documenting existing workflows and identifying opportunities for optimization based on data and user feedback.

• System Implementation Standards: While not directly implementing systems, demonstrating an understanding of how well-defined requirements and user feedback contribute to successful system or feature implementation is key.

• Measurement & Performance Analysis: The ability to define metrics, track performance, and analyze results to measure the impact of implemented changes is crucial.

📝 Enhancement Note: For an internship role focused on building a "loop," demonstrating the ability to document processes and create reusable assets (like playbooks) is a significant indicator of potential. The portfolio should reflect a candidate's ability to not just execute tasks but also to standardize and hand over their work effectively.

💵 Compensation & Benefits

Salary Range:

• As this is an internship position in Singapore, the salary will be aligned with industry standards for interns in technology roles. Based on market research for similar internship roles in Singapore, a typical range would be between SGD 800 - 1,500 per month, depending on the applicant's academic standing, prior experience, and the specific duration of the internship. Benefits:

• Mentorship: Direct guidance and learning from experienced Product Managers, UX Designers, and Data Analysts.

• Skill Development: Opportunities to gain hands-on experience in data analysis, user research, UX design, and product management.

• Networking: Exposure to a global robotics company and interaction with cross-functional teams.

• Professional Development: Potential for a full-time offer upon successful completion of the internship.

• Work Experience: Valuable real-world experience contributing to product development and strategy.

Working Hours:

• Standard full-time working hours, approximately 40 hours per week, with potential for some flexibility depending on project needs and team schedules.

📝 Enhancement Note: Internship compensation varies significantly. The provided range is an estimate based on general market rates for interns in Singapore's tech sector. Benefits focus on learning and development, which are key attractors for internship positions.

🎯 Team & Company Context

🏢 Company Culture

Industry: Robotics, Artificial Intelligence, Software Development, Fleet Management. LionsBot is at the forefront of developing and deploying autonomous robots for commercial use, integrating hardware, software, and AI.

Company Size: LionsBot International Pte Ltd is a growing company, likely falling into the Small to Medium-sized Enterprise (SME) category or larger, given its deployment in over 40 countries. This suggests a dynamic environment with opportunities for impact and a potentially flatter organizational structure.

Founded: Founded in 2016, LionsBot is a relatively young company, indicating a culture that is likely innovative, agile, and fast-paced, driven by technological advancement and market expansion.

Team Structure:

• The intern will be part of the Product team, likely working closely with Product Managers, UX Designers, and Data Analysts.

• This team collaborates heavily with Engineering, Service, and potentially Sales/Operations teams to gather feedback, define requirements, and ensure successful product deployment and iteration.

• The reporting structure for an intern would typically be to a senior member of the Product team (e.g., Product Manager or Lead UX Designer). Methodology:

• Data-Driven Decision Making: The core of this internship is to build a "repeatable loop" that relies heavily on data to inform product decisions, moving away from case-by-case analysis.

• Iterative Development: The process involves prototyping, testing, and refining solutions, reflecting an agile and iterative approach to product development.

• Cross-functional Collaboration: Success in this role depends on effective communication and collaboration between different departments to gather comprehensive insights and implement solutions.

Company Website: https://www.lionsbot.com/

📝 Enhancement Note: The company's focus on robotics and AI suggests a technically driven culture. The internship's emphasis on building repeatable processes indicates a desire for operational efficiency and scalability within product development.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level internship role, designed to provide foundational experience in product development, data analysis, and UX research. It’s an excellent stepping stone for individuals aspiring to roles like Product Manager, UX Researcher, Data Analyst, or Product Operations Specialist.

Reporting Structure: The intern will report to a senior member of the Product team, providing direct mentorship and guidance. This close working relationship allows for significant learning and development.

Operations Impact: While an intern, the role has the potential to directly influence product roadmap decisions by providing data-backed insights and user-centric design proposals. The development of a repeatable "insight loop" can lead to more efficient and effective product development processes for the entire team.

Growth Opportunities:

• Skill Specialization: Opportunity to deepen skills in specific areas like advanced data analytics, qualitative user research techniques, UX prototyping, or product requirement documentation.

• Industry Exposure: Gain in-depth knowledge of the robotics industry, fleet management, and AI applications.

• Full-Time Conversion: Successful interns may be considered for full-time entry-level positions within the Product, Data, or UX teams upon graduation.

• Cross-functional Understanding: Develop a comprehensive understanding of how different departments (Product, Engineering, Service) contribute to product success.

📝 Enhancement Note: The growth analysis is tailored to an internship, focusing on skill acquisition, industry exposure, and potential conversion to a full-time role. The "operations impact" highlights how even an intern's work can contribute to broader team efficiency and decision-making processes.

🌐 Work Environment

Office Type: On-site in Singapore. This suggests a collaborative office environment where face-to-face interaction with team members and potentially direct observation of products or operations is possible.

Office Location(s): Singapore. This location is a major tech hub, offering potential access to a vibrant ecosystem of tech companies and talent.

Workspace Context:

• Collaborative Environment: The on-site nature facilitates direct interaction with product managers, UX designers, and engineers, fostering a collaborative approach to problem-solving.

• Tools & Technology: Access to necessary software and hardware for data analysis (e.g., cloud platforms, analytical tools), UX design (Figma), and communication.

• Team Interaction: Opportunities to participate in team meetings, brainstorming sessions, and cross-functional discussions, providing a holistic view of product development.

Work Schedule:

• The role is full-time, aligning with typical business hours in Singapore. The nature of product development may require some flexibility to meet project deadlines, but the core emphasis is on structured work within the office.

📝 Enhancement Note: The on-site requirement in Singapore is a key detail. This implies a preference for hands-on collaboration, direct team engagement, and potentially access to physical products or operational environments relevant to the robotics field.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of application, resume, and any provided portfolio materials to assess basic qualifications and alignment with the internship's scope.

• Technical/Skills Assessment: Likely includes a practical exercise or case study focused on data analysis, user research synthesis, or a design/prototyping challenge. This may involve interpreting sample data or outlining a research plan.

• Behavioral & Situational Interview: Questions to assess problem-solving skills, collaboration style, learning agility, and how the candidate approaches challenges, particularly in a product development context.

• Team/Hiring Manager Interview: Discussion about motivations for the internship, career aspirations, and fit within the Product team culture. This is where the candidate's understanding of the "insight loop" concept will be explored.

• Final Interview (Optional): May involve a presentation of a portfolio piece or a more in-depth discussion on a specific project.

Portfolio Review Tips:

• Structure & Clarity: Organize your portfolio logically, clearly outlining the problem, your role, the process followed, the tools used, and the outcomes/impact.

• Showcase the "Loop": For this specific role, highlight projects that demonstrate an understanding of connecting data insights to user needs and product solutions. Emphasize any experience in creating repeatable processes or documentation.

• Quantify Impact: Whenever possible, use metrics to demonstrate the impact of your work (e.g., "identified X friction points leading to Y proposed improvements," or "analyzed Z data points to inform feature prioritization").

• Figma Prototypes: Ensure any Figma prototypes are easily accessible, interactive, and clearly demonstrate the proposed solution.

• Data Analysis Examples: Present dashboards, reports, or analytical write-ups that clearly articulate your findings and how they were derived.

Challenge Preparation:

• Data Interpretation: Be prepared to interpret sample fleet telemetry or user feedback data and suggest next steps or product implications.

• User Research Design: Practice outlining a user research plan for a given product problem, including target users, research questions, and methodology.

• Prototyping: Be ready to discuss your design process and rationale behind wireframes or prototypes.

• Requirement Articulation: Practice writing clear user stories with acceptance criteria.

📝 Enhancement Note: The emphasis on a "repeatable loop" and "playbook development" means candidates should highlight projects where they've standardized processes or created documentation that others can follow. This is a key differentiator for this internship.

🛠 Tools & Technology Stack

Primary Tools:

• Data Analysis & Visualization: LionsCloud platform (internal tool for telemetry), potentially SQL for data extraction, and tools for dashboard creation (e.g., Tableau, Power BI, or Python libraries like Matplotlib/Seaborn).

• UX Design & Prototyping: Figma is explicitly mentioned and will be a primary tool for wireframing and interactive prototyping.

• Project Management & Documentation: Tools like Jira, Confluence, or similar platforms for managing user stories, requirements, and documentation.

Analytics & Reporting:

• Fleet Telemetry Analysis: Tools and techniques for analyzing time-series data, error logs, and operational metrics from robotic systems.

• Dashboarding Tools: For creating recurring reports on fleet health and issue prevalence.

CRM & Automation:

• While not a direct CRM role, understanding how customer feedback and incident reports are tracked (potentially within a CRM or dedicated support system) is relevant.

• Familiarity with workflow automation principles, even if not directly implementing them, is beneficial for understanding process optimization.

📝 Enhancement Note: Explicitly mentioning Figma and LionsCloud (as the internal telemetry platform) provides clear technical expectations. A candidate's ability to adapt to and learn new internal tools will be important.

👥 Team Culture & Values

Operations Values:

• Data-Driven: Decisions are grounded in rigorous analysis of fleet data and user feedback, moving beyond anecdotal evidence.

• User-Centricity: A strong focus on understanding and addressing the needs and pain points of operators, technicians, and distributors.

• Efficiency & Scalability: Commitment to building repeatable processes and "loops" that can be scaled across the product development lifecycle and potentially the organization.

• Collaboration & Communication: Emphasis on working effectively across diverse teams to achieve shared product goals.

• Innovation: A culture that encourages new ideas and creative solutions within the rapidly evolving robotics and AI space.

Collaboration Style:

• Cross-functional Integration: The role demands close collaboration with Product Management, Engineering, and Service teams, requiring strong communication and interpersonal skills.

• Process Review & Feedback: An open environment for sharing insights, debating approaches, and providing constructive feedback on designs, data interpretations, and requirements.

• Knowledge Sharing: Encouragement of sharing learnings and best practices, particularly in documenting the "insight loop" playbook for future interns and team members.

📝 Enhancement Note: The values highlight a blend of technical rigor (data-driven), human-centricity (user-centric), and process orientation (efficiency, scalability). This is typical for product development roles in innovative tech companies.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Availability: Working with large volumes of real-time telemetry data can be complex. Ensuring data quality and understanding its limitations will be a key challenge.

• Bridging Technical & User Perspectives: Translating raw technical data and complex user feedback into actionable product requirements requires strong analytical and communication skills.

• Defining "Repeatable": Establishing a truly repeatable and scalable "insight loop" that can be easily handed over to the next person will require careful documentation and process design.

• Balancing Scope: As an intern, managing the scope of projects and delivering tangible results within a defined timeframe can be challenging.

Learning & Development Opportunities:

• Operations Skill Advancement: Deepen expertise in data analysis, UX research methodologies, prototyping tools, and product requirement definition.

• Industry Immersion: Gain practical experience in the cutting-edge field of robotics and AI-driven fleet management.

• Mentorship & Networking: Benefit from direct guidance from experienced professionals and build a professional network within a global tech company.

• Process Optimization: Learn to design, document, and hand over operational processes, a valuable skill for any future role.

📝 Enhancement Note: The challenges are framed to be learning opportunities, aligning with the internship's developmental purpose. The growth opportunities focus on both technical and soft skills essential for a career in product operations and development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used data to inform a decision. What was the data, your analysis, and the outcome?" (Focus on demonstrating analytical thinking and impact).

• "How would you approach understanding the needs of a user who is not technically savvy?" (Focus on user research empathy and methodology).

• "Walk us through your process for identifying a problem and proposing a solution." (Highlight your "insight loop" thinking, even if informal).

• "Imagine you have two competing product ideas, one supported by strong quantitative data and another by compelling qualitative feedback. How would you decide which to prioritize?" (Tests ability to synthesize different data types). Company & Culture Questions:

• "What interests you about LionsBot and the robotics industry?" (Show genuine curiosity and research).

• "How do you handle constructive criticism on your work?" (Assess coachability and receptiveness to feedback).

• "Describe your ideal team environment for collaboration." (Align your response with the described company culture).

• "What do you hope to achieve during this internship?" (Connect your goals to the role's responsibilities and learning objectives). Portfolio Presentation Strategy:

• Tell a Story: For each portfolio piece, clearly articulate the problem, your approach, your specific contributions, the challenges you faced, and the results or learnings.

• Highlight the "Loop": For projects related to this internship, emphasize how you connected data/feedback to solutions and documented your process.

• Demonstrate Tools: Be ready to briefly showcase your proficiency in tools like Figma, and discuss your data analysis tools/methods.

• Be Concise: Focus on the most impactful aspects of your work and be prepared to answer questions that probe deeper into your methodology.

📝 Enhancement Note: Interview preparation advice is tailored to the specific "insight loop" concept and the blend of data analysis, UX, and product management responsibilities. Emphasizing the portfolio's relevance to building repeatable processes is crucial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Kula.ai.

• Tailor Your Resume: Highlight relevant coursework, projects, or prior internship experiences related to data analysis, user research, UX design, product management, or process documentation. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best demonstrate your skills in data analysis, UX/UI design, and user research. Ensure your portfolio clearly shows your process and impact, and ideally, any work related to documenting processes or creating repeatable steps.

• Prepare for a Case Study: Be ready for a practical exercise that may involve analyzing a small dataset, outlining a research plan, or creating a basic prototype. Practice articulating your thought process clearly and concisely.

• Research LionsBot: Familiarize yourself with LionsBot's products, mission, and recent news. Understand their position in the robotics market and how your internship can contribute to their goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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