Skills data

What is Task Level Analysis? A Practical Guide for HR teams and Business Leaders

Job titles don’t reflect what people actually do. Learn how task-level analysis reveals hidden skills, drives smarter workforce planning, and prepares you for AI.

September 18, 2025
3 min read
Helena Turpin
Co-Founder, GoFIGR
5 second summary
  • Job titles are convenient fictions. They look neat on org charts but hide the reality that two employees with the same title can be doing completely different work—and needing very different skills.
  • Tasks reveal the truth. Breaking roles into the specific tasks people actually perform uncovers hidden skills, automation opportunities, and more accurate career pathways than generic job descriptions ever can.
  • The future of work shifts one task at a time. AI and automation don’t erase jobs overnight—they reshape tasks inside them. Task-level analysis helps companies adapt, retrain, and design roles that keep pace with change.
  • I was talking to a marketing director last week who told me something that stuck with me. She'd hired two "Marketing Coordinators" within six months of each other. Same salary band, same job description, same everything on paper.

    Six months later? One was knee-deep in Excel building complex attribution models. The other was running influencer campaigns and hadn't touched a spreadsheet since onboarding.

    Same job title. Completely different work. And honestly, this happens more than we'd like to admit.

    Why Job Titles Don't Tell the Whole Story

    Here's the thing about job titles - they're convenient fiction. Useful for org charts and salary discussions, but terrible for understanding what actually happens day-to-day in your organization.

    Take "Data Analyst" as an example. At one company, that might mean building dashboards in Tableau. At another, it's writing Python scripts to clean messy datasets. And at a third company? They're basically doing business consulting with a fancy title.

    The role evolves faster than the title can keep up. Especially now, with AI tools changing how work gets done practically every month. Your "Content Writer" might be spending half their time prompt engineering ChatGPT, but good luck finding that in their original job description.

    Task Level Analysis: Getting to What Really Matters

    So what is task level analysis? It's pretty straightforward - instead of looking at job titles, you break down roles into the actual tasks people perform. Then you ask better questions:

    • What skills does this task actually require?
    • How much time does it take?
    • What business value does it create?
    • Could this be automated, delegated, or eliminated entirely?

    Think of it like zooming in on your workforce. Job titles are the 10,000-foot view. Task analysis gets you down to street level where the real work happens.

    Why Task Analysis Matters More Than Ever

    I've been in the space long enough to see every "future of work" trend come and go. But here's what doesn't change - work transforms gradually, one task at a time.

    A new software tool launches and suddenly your accountants aren't doing manual data entry anymore. Customer expectations shift and your support team starts handling more complex problem-solving. AI comes along and - well, we're all figuring that one out together.

    But here's the key insight: roles don't disappear overnight. They evolve. The tasks inside them change, but often the job title stays the same until it's completely out of sync with reality.

    I've seen companies miss this completely. They're planning for "Marketing Managers" when what they actually need are people who understand marketing automation platforms, data analysis, and yes, probably some AI prompt engineering too.

    Real Examples (Because Generic Ones Are Boring)

    Let me give you some concrete examples I've seen:

    Customer Service Evolution: Remember when customer service meant answering phones all day? Now we’re seeing reps who spend maybe 30% of their time on calls. The rest? They're troubleshooting technical issues that used to get escalated, managing chat conversations, and actually doing light account management work.

    But the job title? Still "Customer Service Representative." The pay grade? Usually hasn't budged. The skills required? Completely different.

    Financial Analysts: I worked with a mid-size company where their "Financial Analysts" were spending 70% of their time pulling data from different systems and only 30% actually analyzing anything. Post-automation? Those percentages flipped completely. Same people, same titles, but now they're doing strategic forecasting work that used to require senior-level staff.

    Healthcare Administration: This one surprised me. Medical office coordinators are increasingly handling telehealth logistics, insurance verification through new digital platforms, and patient education about online portals. None of that existed in their original job descriptions from 2019.

    What Task Level Analysis Actually Gets You

    When you start mapping work at the task level, three things happen:

    First, you see hidden skills everywhere. That quiet person in accounting who everyone goes to for Excel help? Turns out they're essentially doing business intelligence work. The customer service rep who always gets the angry customers? They're doing conflict resolution that would make HR proud.

    Second, you can actually plan for change. Instead of waiting for entire job categories to become obsolete, you can see which specific tasks are getting automated or shifting. Then you can retrain people for the tasks that are growing.

    Third, career pathing becomes real. Instead of vague promotion tracks, you can show people exactly which tasks they need to master to advance. Much more actionable than "develop leadership skills."

    The Messy Reality of Implementation

    I'll be honest - task level analysis isn't always neat and clean. People do weird combinations of work that don't fit into tidy categories. Sometimes you'll find tasks that seem important but don't obviously drive business value. And yes, some employees will resist the analysis because they're worried about being automated away.

    But that's exactly why it's worth doing. The mess is where the opportunities are.

    Task Mapping: Where Work Actually Transforms

    Here's what I've learned - the future of work isn't some dramatic revolution. It's happening right now in the daily tasks your employees perform.

    The question isn't whether AI or automation will change jobs. It's which specific tasks will shift, and how quickly you can adapt to that reality.

    Companies doing task level analysis well aren't just surviving these changes - they're redesigning work entirely. Maybe that means automating routine tasks with AI while upskilling people for higher-value work. Or realizing that certain tasks can be handled more efficiently by offshore teams or specialized contractors, freeing up internal talent for strategic projects.

    Job titles will always exist - they're too convenient to disappear. But for workforce planning, skills development, and career pathing? The real insights are in the tasks.

    Ready to implement task level analysis in your organization? At GoFIGR, we help companies map their workforce at the task level, identifying AI Impact as well as automation opportunities. Because the future of work isn't just about jobs - it's about the tasks that make them up.

    Helena Turpin
    Co-Founder, GoFIGR

    Helena Turpin spent 20 years in talent and HR innovation where she solved people-related problems using data and technology. She left corporate life to create GoFIGR where she helps mid-sized organizations to develop and retain their people by connecting employee skills and aspirations to internal opportunities like projects, mentorship and learning.

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