Sales Operations Analyst

Role Purpose & Context

Role Summary

The Sales Operations Analyst is here to help our sales teams run smoothly by looking after the data and reports. Day-to-day, you'll be digging into Salesforce, pulling numbers, and making sure everything's accurate so our Sales Operations Manager can actually use it. You're essentially the backbone for all the important sales insights. When you do this job well, our sales managers get reliable information to make smart decisions, which means more deals get done. If the data's a mess, well, then everyone's guessing, and that's not good for business. The tricky part is keeping up with constantly changing requests and sometimes, frankly, dealing with messy data. But the reward? You get to see how your work directly impacts how our sales teams perform, and you'll learn a ton about how a global sales organisation actually works.

Reporting Structure

• Reports to: Sales Operations Manager
• Direct reports: None, you'll be focused on your own learning and tasks.
• Matrix relationships: Junior Sales Operations Specialist, Sales Data Assistant, Commercial Analyst (Entry),

Key Stakeholders

Internal:

• Sales Operations Manager (your direct boss)
• Sales Managers (the people who need your reports)
• Individual Sales Representatives (they'll use the systems you support)
• IT Support (when you need help with technical glitches)
• Finance Team (sometimes they'll ask for sales data too)

External:

Organisational Impact

Scope: Your work, while seemingly small, underpins the entire sales forecasting and performance measurement process. Accurate data means better sales planning, more effective coaching, and ultimately, a healthier revenue stream. Get it wrong, and we're flying blind, making bad decisions based on dodgy numbers. It's about building trust in our data.

Performance Metrics

Quantitative Metrics

1. Metric: Data Accuracy
2. Desc: The percentage of sales records (e.g., opportunities, accounts, contacts) that are complete and correct in our CRM.
3. Target: >98% accuracy in data entry and report generation.
4. Freq: Monthly audits and spot checks.
5. Example: You spot and correct 15 missing 'next step' fields in Salesforce opportunities during your weekly check, preventing a forecast error.
6. Metric: Task Completion Rate
7. Desc: How many of your assigned support tasks and regular reporting duties you finish on time.
8. Target: 100% of assigned project tasks completed on schedule.
9. Freq: Weekly review with your manager.
10. Example: You deliver the weekly pipeline report by Tuesday morning, every week, without fail, even when the data is a bit tricky.
11. Metric: Response Time
12. Desc: How quickly you acknowledge and start working on ad-hoc data or report requests from the sales team.
13. Target: <24-hour turnaround on ad-hoc data and report requests.
14. Freq: Tracked via internal request system and manager feedback.
15. Example: A sales manager asks for a quick report on Q3 deal sizes, and you send a 'got it, will get this to you by end of day' email within 2 hours.

Qualitative Metrics

1. Metric: Adherence to Process
2. Desc: How well you follow established procedures for data entry, reporting, and system updates. This is crucial for consistency.
3. Evidence: You consistently use the correct templates for reports, follow the data entry guidelines, and don't try to 'shortcut' processes without discussing it first. Your manager won't need to remind you about standard operating procedures.
4. Metric: Learning & Development Progress
5. Desc: Your proactive approach to learning new tools, systems, and sales concepts. We expect you to be a sponge at this level.
6. Evidence: You ask thoughtful questions, actively participate in training, bring new ideas to your manager, and show demonstrable improvement in your skills over time. You'll seek out opportunities to understand 'why' we do things a certain way.
7. Metric: Team Support & Collaboration
8. Desc: How effectively you work with your Sales Operations Manager and other team members, offering help where you can.
9. Evidence: You're a reliable pair of hands, always willing to assist with data clean-up or report checks. You communicate clearly when you're stuck and offer to help others when your own tasks are complete. People actually enjoy working with you.

Primary Traits

• Trait: Gets the Details Right
• Manifestation: You're the sort of person who spots the extra zero in a spreadsheet or notices when a name is spelled incorrectly in a report. You'll double-check your own work before handing it over, because you know a small mistake can have a big ripple effect. You care about accuracy, not just speed.
• Benefit: Honestly, our sales forecasts and performance reviews depend on clean, accurate data. One tiny error in a formula or a misplaced decimal point can throw off an entire quarter's numbers, leading to bad decisions and, frankly, a lot of embarrassment for the team. We need someone who instinctively catches these things, not just when asked.
• Trait: Curious Learner
• Manifestation: You don't just do what you're told; you want to understand *why* you're doing it. If a report looks odd, you'll dig into the source data to figure out what's going on. You're always asking questions about how things work, how our sales process flows, and what impact your work has further down the line. You're keen to pick up new tools and methods.
• Benefit: Sales operations is constantly evolving. If you're not curious, you'll quickly fall behind. We need someone who's eager to learn our systems, understand the sales business, and eventually, spot ways to make things better. Without that curiosity, you'll just be a button-pusher, and that's not what we're looking for.
• Trait: Reliable Support
• Manifestation: When you say you'll do something, you do it. You meet your deadlines, or you communicate well in advance if there's an issue. You're a dependable pair of hands for your manager and the wider sales team, meaning they can trust you with important tasks and data requests. People know they can count on you.
• Benefit: The sales team operates at a fast pace, and they rely on us for timely, accurate information. If you're not reliable, it creates bottlenecks and delays, which can directly impact their ability to close deals. Your reliability builds trust, and trust is everything in Sales Ops.

Supporting Traits

• Trait: Organised
• Desc: You can juggle multiple requests, keep track of your tasks, and prioritise effectively, even when things get a bit hectic. You'll have a system, even if it's just a good to-do list.
• Trait: Helpful
• Desc: You're always willing to lend a hand, whether it's helping a sales rep find a report or assisting your manager with a data clean-up project. You're a team player in the truest sense.
• Trait: Calm Under Pressure
• Desc: Sales can be a high-pressure environment. You can stay cool when an urgent request comes in or when a report isn't quite right, focusing on the solution rather than panicking.

Primary Motivators

1. Motivator: Learning the Ropes
2. Daily: You'll spend a lot of time understanding how our CRM works, how we track sales, and what metrics really matter. Every day is a chance to pick up new skills and knowledge.
3. Motivator: Making Things Work
4. Daily: You'll get satisfaction from seeing a messy spreadsheet become clean, or a broken report start working again. It's about bringing order to chaos.
5. Motivator: Being a Key Support
6. Daily: You'll be the person who helps others get what they need. Your work directly supports the sales team, and you'll feel good knowing you're contributing to their success.

Potential Demotivators

Honestly, this role isn't for everyone. If you need constant, high-level strategic input, or if you get easily frustrated by repetitive tasks, you might struggle. You'll often be working with data that isn't perfect, and you'll spend a fair bit of time just making sure things are correct rather than inventing new things. Sometimes, you'll build a report that only gets looked at once, or you'll clean data that quickly gets messy again. If you need to see every single piece of your work lead to a grand, visible outcome, you might find parts of this role a bit disheartening.

Common Frustrations

1. Dealing with messy, incomplete data in Salesforce (the 'garbage in, garbage out' problem).
2. Getting urgent requests that turn out not to be so urgent after all.
3. Having to chase people for information or updates.
4. Repetitive tasks like data entry or routine report generation.
5. Feeling like your work is 'just' admin, even though it's crucial.

What Role Doesn't Offer

1. Immediate strategic decision-making authority.
2. A huge amount of creative freedom in your day-to-day tasks.
3. A role where you're constantly presenting to senior leadership (not yet, anyway).
4. A 'set it and forget it' environment – data needs constant attention.

ADHD Positives

1. The varied nature of ad-hoc requests and data challenges can provide novelty and stimulation.
2. Opportunities for hyperfocus on detailed data clean-up or report building can be highly productive.
3. The fast-paced nature of sales can keep things interesting, preventing boredom.

ADHD Challenges and Accommodations

1. Repetitive data entry or routine checks might be challenging; breaking these into smaller, timed blocks could help.
2. Prioritising multiple urgent requests can be overwhelming; clear guidance from your manager on priority is key.
3. We can provide noise-cancelling headphones for focus, and regular, short breaks are encouraged to maintain concentration.

Dyslexia Positives

1. Focus on data patterns and logical structures in reports can be a strength.
2. Visual tools like dashboards and process maps (Miro, Lucidchart) can be more intuitive than text-heavy documents.
3. Strong verbal communication skills often found in dyslexic individuals can be great for explaining data insights.

Dyslexia Challenges and Accommodations

1. Proofreading reports and documentation for typos might require extra time; using grammar/spell-check tools is a must.
2. Reading long, dense data specifications could be tiring; we can provide text-to-speech software or large-print options.
3. We encourage verbal explanations alongside written reports, and can offer tools like Grammarly or ProWritingAid to help with written output.

Autism Positives

1. The need for precision and logical consistency in data and reports aligns well with a detail-oriented approach.
2. Working with structured data and systems (like CRM) can be very satisfying.
3. Clear, unambiguous instructions and processes are often a preference and will be provided where possible.

Autism Challenges and Accommodations

1. Unexpected changes to priorities or processes might be unsettling; we'll aim for clear communication and notice for changes.
2. Navigating informal social dynamics in a sales environment can be complex; your manager will provide clear expectations for team interactions.
3. We can offer a quieter workspace if needed, and clear, written communication for tasks and feedback is standard practice.

Key Responsibilities

Experience Levels Responsibilities

1. Level: Entry Level (0-2 years)
2. Responsibilities: Run standard weekly and monthly sales performance reports from Salesforce, making sure the numbers are accurate and delivered on time for sales managers.
3. Help clean up our sales data in the CRM. This means finding duplicates, filling in missing fields, and making sure everything's consistent. Yes, it's tedious, but it's absolutely vital for good reporting.
4. Support the Sales Operations Manager with ad-hoc data requests. Someone will ask for a quick list of XYZ accounts, and you'll be the one to pull it together.
5. Learn our sales processes and systems inside out. You'll document simple workflows and update our internal knowledge base, so others can find answers.
6. Assist with user support for Salesforce. This might mean helping a sales rep figure out how to log a call or update an opportunity, or pointing them to the right training material.
7. Help prepare materials for sales team meetings, like updating slides with the latest performance metrics or creating simple charts.
8. Shadow more senior team members to understand complex projects, like territory planning or compensation calculations. You'll be taking notes and asking questions.
9. Supervision: You'll have daily check-ins with your Sales Operations Manager, especially in your first few months. We'll pair you with a more experienced colleague for complex tasks, and all your work will be reviewed before it goes out. We expect you to ask questions, a lot of them, honestly.
10. Decision: You won't be making independent decisions in this role. Any decisions beyond routine data entry or report generation need to be escalated to your Sales Operations Manager. If you're unsure, ask. It's always better to ask than to guess and get it wrong.
11. Success: You'll be successful if your reports are consistently accurate, your data clean-up efforts make a noticeable difference, and you're proactively learning and asking questions. We want you to become a reliable pair of hands that the team can count on for solid data support.

Decision-Making Authority

• Type: Data Entry & Updates
• Entry: Execute according to established guidelines; escalate any ambiguous situations.
• Mid: Independently update complex records; define best practices for data entry.
• Senior: Design and implement new data models and governance frameworks.
• Type: Report Generation
• Entry: Run pre-defined reports; verify data accuracy before sharing.
• Mid: Design and build new dashboards based on requirements; optimise existing reports.
• Senior: Define the strategic reporting framework and key performance indicators (KPIs) for the sales organisation.
• Type: Process Documentation
• Entry: Document current-state processes following templates; identify minor inconsistencies.
• Mid: Propose and document improvements to existing processes; lead small process mapping workshops.
• Senior: Architect future-state sales processes across the entire sales lifecycle.
• Type: Tool/System Support
• Entry: Assist users with basic queries; escalate technical issues to IT or your manager.
• Mid: Troubleshoot common user issues; provide informal training to new users.
• Senior: Evaluate and recommend new sales tools; manage vendor relationships.

Competency Requirements

Foundation Skills (Transferable)

These are the core skills that everyone in our team needs, no matter their level. Think of them as the building blocks for everything else you'll do. We're looking for people who can communicate clearly, solve problems logically, and adapt to new situations.

• Category: Communication
• Skills: Clear Written Communication: You can write emails and reports that are easy to understand, without jargon or ambiguity. People shouldn't have to re-read your messages.
• Active Listening: You're good at listening to requests, understanding the underlying need, and asking clarifying questions before jumping into action. This helps avoid rework.
• Basic Presentation Skills: You can talk through a simple report or dashboard with your manager or a small group, explaining what the numbers mean without getting flustered.
• Category: Problem-Solving
• Skills: Analytical Thinking (Basic): You can look at a set of data, spot inconsistencies, and logically think through potential causes. It's about finding the 'why' behind the numbers.
• Troubleshooting: When a report isn't working or data looks off, you can systematically try to figure out what's wrong before asking for help. You don't just give up.
• Attention to Detail: You notice the small things—the missing field, the incorrect date, the typo. This is absolutely critical for data accuracy.
• Category: Adaptability & Learning
• Skills: Openness to Feedback: You're happy to receive constructive criticism and use it to improve your work. You see mistakes as learning opportunities, not failures.
• Quick Learner: You can pick up new software, systems, and processes fairly quickly. You're not afraid to dive into a new tool and figure it out.
• Prioritisation (Basic): You can manage a few tasks at once, understanding what needs to be done first and communicating if you're overloaded.

Functional Skills (Role-Specific Technical)

These are the specific tools and knowledge you'll need to hit the ground running in Sales Operations. Don't worry if you're not an expert in everything; we're looking for a solid foundation and a willingness to learn.

Technical Competencies

• Skill: Data Analysis Fundamentals
• Desc: Understanding basic statistical concepts, how to clean data, identify trends, and present findings clearly. It's about making sense of numbers.
• Level: Intermediate
• Skill: Sales Process Knowledge
• Desc: A basic grasp of how a typical sales cycle works, from lead generation to closing a deal. You'll understand terms like 'pipeline', 'opportunity', and 'forecast'.
• Level: Basic
• Skill: Reporting & Dashboarding
• Desc: The ability to pull data, create simple charts, and build basic dashboards that help people understand performance at a glance.
• Level: Intermediate

Digital Tools

• Tool: Salesforce Sales Cloud
• Level: Intermediate
• Usage: Running standard reports, updating opportunity records, managing contact and account data, troubleshooting basic user issues.
• Tool: Microsoft Excel
• Level: Advanced
• Usage: Data cleaning, pivot tables, VLOOKUPs, basic formulas, creating charts for presentations, manipulating data exported from Salesforce.
• Tool: Tableau / Power BI (or similar BI tool)
• Level: Basic
• Usage: Viewing and navigating existing dashboards, understanding how to filter data, occasionally pulling simple data exports for further analysis.
• Tool: Miro / Lucidchart (or similar process mapping tool)
• Level: Intermediate
• Usage: Documenting current-state sales processes, creating simple flowcharts, collaborating on visual diagrams with your manager.
• Tool: Google Workspace / Microsoft 365
• Level: Advanced
• Usage: Creating documents, spreadsheets, presentations, and using email and calendar for daily communication and organisation.

Industry Knowledge

• Area: Sales Terminology & Metrics
• Desc: Understanding common sales jargon like 'pipeline coverage', 'win rate', 'average deal size', and 'sales velocity'. You'll know what these mean and why they matter.
• Area: Data Governance Basics
• Desc: A basic understanding of why data quality is important, and the principles of keeping data clean, consistent, and secure.

Regulatory Compliance Regulations

• Reg: GDPR (General Data Protection Regulation)
• Usage: Understanding the importance of handling customer data responsibly, especially when pulling reports or cleaning databases. You'll know not to share sensitive data inappropriately.
• Reg: Internal Data Security Policies
• Usage: Following company guidelines on how to store, access, and share data to ensure it remains secure and confidential. This means using approved tools and not, say, emailing sensitive spreadsheets to your personal account.

Essential Prerequisites

• A genuine interest in sales operations and how data drives business decisions.
• Solid grasp of Microsoft Excel (pivot tables, VLOOKUPs, basic formulas are a must).
• Experience using a CRM system, ideally Salesforce, even if it's just from an internship or academic project.
• The ability to communicate clearly, both in writing and verbally.
• A proactive attitude – you're not afraid to ask questions and seek out answers.

Career Pathway Context

These are the foundational skills we expect you to bring with you. We'll build on these, but having them in place means you'll be able to contribute quickly and get the most out of your learning experience here. Think of it as having your driving licence before you get in the car – you can learn to drive *our* car, but you need to know the basics first.

Qualifications & Credentials

Emerging Foundation Skills

• Skill: Prompt Engineering for Data Queries
• Why: AI language models are getting incredibly good at understanding natural language. Instead of writing complex SQL or Excel formulas, you'll soon be able to 'ask' a system in plain English to pull specific data or summarise a report. This will massively speed up data retrieval.
• Concepts: [{'concept_name': 'Formulating clear, unambiguous questions for AI mo', 'description': 'Formulating clear, unambiguous questions for AI models.'}, {'concept_name': 'Understanding how to specify data sources and form', 'description': 'Understanding how to specify data sources and formats.'}, {'concept_name': 'Iterative prompting to refine results.', 'description': 'Iterative prompting to refine results.'}, {'concept_name': 'Validating AI-generated data queries against known', 'description': 'Validating AI-generated data queries against known outputs.'}, {'concept_name': 'Ethical considerations for AI in data analysis.', 'description': 'Ethical considerations for AI in data analysis.'}]
• Prepare: This month: Start experimenting with ChatGPT or similar tools to summarise articles or structure basic emails.
• Next quarter: Try using AI to help you write simple Excel formulas or explain complex data concepts.
• Month 4-6: Look for opportunities to use AI to draft initial data queries for your manager, even if you still run the final query manually.
• Month 7-9: Explore tools that integrate AI directly into spreadsheets or BI platforms for data manipulation.
• QuickWin: Use AI to help you draft clearer emails or summarise long internal documents today. No special tools needed, just a browser.
• Skill: Basic Automation & Scripting
• Why: Many repetitive tasks in sales ops, like moving data between systems or generating routine reports, can be automated. Knowing how to build simple scripts (even low-code ones) will make you incredibly efficient and valuable.
• Concepts: [{'concept_name': "Understanding 'if/then' logic for automation rules", 'description': "Understanding 'if/then' logic for automation rules."}, {'concept_name': 'Using tools like Zapier or Microsoft Power Automat', 'description': 'Using tools like Zapier or Microsoft Power Automate for simple integrations.'}, {'concept_name': 'Basic Python for data manipulation (e.g., pandas l', 'description': 'Basic Python for data manipulation (e.g., pandas library).'}, {'concept_name': "API fundamentals (understanding how systems 'talk'", 'description': "API fundamentals (understanding how systems 'talk' to each other)."}, {'concept_name': 'Identifying tasks suitable for automation.', 'description': 'Identifying tasks suitable for automation.'}]
• Prepare: This month: Identify one repetitive task you do weekly and brainstorm how it *could* be automated.
• Next quarter: Take an online course on Zapier or Power Automate and build one simple automation (e.g., 'send me an email when a new high-value opportunity is created').
• Month 4-6: Start learning basic Python for data analysis (e.g., a free Codecademy course).
• Month 7-9: Propose a small automation project to your manager that could save the team time.
• QuickWin: Set up a simple email rule or calendar automation today. It's a small step, but it gets you thinking about automation.

Advancing Technical Skills

• Skill: Advanced CRM Configuration
• Why: Moving beyond just using Salesforce, you'll need to understand how to configure it to meet evolving business needs. This means customising fields, building validation rules, and understanding basic workflow automation within the platform. The business will always want more from the CRM.
• Concepts: [{'concept_name': 'Custom objects and fields in Salesforce.', 'description': 'Custom objects and fields in Salesforce.'}, {'concept_name': 'Validation rules to enforce data quality.', 'description': 'Validation rules to enforce data quality.'}, {'concept_name': 'Workflow rules and process builder basics.', 'description': 'Workflow rules and process builder basics.'}, {'concept_name': 'User permissions and profiles.', 'description': 'User permissions and profiles.'}, {'concept_name': 'Data loader for mass updates.', 'description': 'Data loader for mass updates.'}]
• Prepare: This quarter: Complete the 'Admin Beginner' trailmix on Salesforce Trailhead.
• Next quarter: Shadow a more senior team member during a Salesforce configuration change.
• Month 4-6: Take on a small project to build a new custom report type or a simple validation rule.
• Month 7-9: Aim to get your Salesforce Administrator Certification.
• QuickWin: Explore Salesforce Trailhead today. It's free and packed with learning modules.
• Skill: Enhanced Data Visualisation & Storytelling
• Why: It's not enough to just pull numbers; you need to tell a compelling story with them. As data becomes more complex, the ability to create clear, impactful visualisations and explain what they mean will be crucial for influencing decisions.
• Concepts: [{'concept_name': 'Principles of effective data visualisation (e.g., ', 'description': "Principles of effective data visualisation (e.g., Tufte's principles)."}, {'concept_name': 'Choosing the right chart type for your data.', 'description': 'Choosing the right chart type for your data.'}, {'concept_name': 'Dashboard design best practices (e.g., user experi', 'description': 'Dashboard design best practices (e.g., user experience, interactivity).'}, {'concept_name': 'Narrative structure for data presentations.', 'description': 'Narrative structure for data presentations.'}, {'concept_name': 'Using tools like Tableau or Power BI to build inte', 'description': 'Using tools like Tableau or Power BI to build interactive dashboards.'}]
• Prepare: This quarter: Read a book on data visualisation (e.g., 'Storytelling with Data').
• Next quarter: Take an online course on Tableau or Power BI dashboard design.
• Month 4-6: Re-design one of our existing static reports into an interactive dashboard.
• Month 7-9: Practice presenting your dashboards to your manager, focusing on the 'story' behind the numbers.
• QuickWin: Critique a few dashboards you see online or in our internal systems. What works? What doesn't? Why?

Education Requirements

• Level: Minimum
• Req: A-Levels (or equivalent vocational qualification at OFQUAL Level 3-4) in a numerical or business-related subject.
• Alts: We're open to candidates with demonstrable equivalent experience, such as a strong track record in a data-heavy administrative role, or significant self-taught proficiency in Excel and data analysis. Show us what you can do, not just what piece of paper you have.
• Level: Preferred
• Req: A Bachelor's degree (or equivalent) in Business, Economics, Finance, Data Science, or a similar analytical field.
• Alts: While a degree is great, we know it's not the only path to success. If you've got a portfolio of data projects, relevant certifications, or a couple of years in a role where you consistently worked with data and systems, that absolutely counts.

Experience Requirements

You'll need 0-2 years of experience in a role where you regularly worked with data, reports, or CRM systems. This could be from internships, a junior administrative role, or even a customer service position where you had to analyse customer trends. We're looking for someone who's comfortable with numbers and has a basic understanding of how business systems work. Any experience with Salesforce or similar CRM tools, even just using them, is a big plus.

Preferred Certifications

• Cert: Salesforce Administrator Certification
• Prod: Salesforce
• Usage: This shows you understand the core functionality and configuration of our primary CRM system, which is invaluable for this role. It'll help you troubleshoot and build reports more effectively.
• Cert: Microsoft Excel Expert Certification
• Prod: Microsoft
• Usage: Given how much data manipulation happens in Excel, proving your advanced skills here will make your life (and ours) a lot easier. It means you can hit the ground running with complex spreadsheets.

Recommended Activities

• Completing relevant 'Trailhead' modules on Salesforce for Sales Cloud and reporting.
• Attending webinars or online courses on data visualisation techniques (e.g., Tableau Public tutorials).
• Joining relevant online communities or forums for Sales Operations professionals to learn best practices.
• Shadowing sales reps or managers to understand their day-to-day challenges and how your data can help them.

Career Progression Pathways

Entry Paths to This Role

• Path: Sales Operations Internship / Graduate Programme
• Time: 6-12 months
• Path: Administrative Assistant (with data focus)
• Time: 1-2 years
• Path: Customer Service / Support Analyst
• Time: 1-2 years

Career Progression From This Role

• Pathway: Sales Transformation Specialist (L2)
• Time: 2-3 years in current role

Long Term Vision Potential Roles

• Title: Senior Sales Operations Analyst / Consultant
• Time: 3-5 years
• Title: Sales Operations Manager
• Time: 5-8 years
• Title: Sales Transformation Lead
• Time: 8-10 years

How Zavmo Delivers This Role's Development

DISCOVER Phase: Skills Gap Analysis

Zavmo maps your current competencies against all requirements in this job description through conversational assessment. We evaluate your foundation skills (communication, strategic thinking), functional skills (CRM expertise, negotiation), and readiness for career progression.

Output: Personalised skills gap heat map showing strengths and priorities, estimated time to competency, neurodiversity accommodations.

DISCUSS Phase: Personalised Learning Pathway

Based on your DISCOVER results, Zavmo creates a personalised learning plan prioritised by impact: foundation skills first, then functional skills. We adapt to your learning style, pace, and neurodiversity needs (ADHD, dyslexia, autism).

Output: Week-by-week schedule, each module linked to specific job responsibilities, checkpoints and milestones.

DELIVER Phase: Conversational Learning

Learn through conversation, not boring modules. Zavmo uses 10 conversation types (Socratic dialogue, role-play, coaching, case studies) to build competence. Practice difficult QBR presentations, negotiate tough renewals, and handle churn conversations in a safe AI environment before facing real clients.

Example: "For 'Stakeholder Mapping', Zavmo will guide you through analysing a complex enterprise account, identifying key decision-makers, and building an engagement strategy."

DEMONSTRATE Phase: Competency Assessment

Zavmo automatically builds your evidence portfolio as you learn. Every conversation, practice scenario, and application example is captured and mapped to NOS performance criteria. When ready, your portfolio supports OFQUAL qualification claims and demonstrates competence to employers.

Output: Competency matrix, evidence portfolio (downloadable), qualification readiness, career progression score.