Expertise · Technology and automation

Automating repetitive tasks: where is it worth it?

Machines excel at mundane, repetitive tasks that are easily forgotten. Humans should retain tasks that require judgment and emotional touch.

Quick summary

The most valuable automation occurs in steps that have three characteristics: repetitive, clear rules, and forgetting once disrupts the entire chain, such as deadline reminders, synchronizing assets when there is a new version, and classifying incoming requests. Conversely, creative approval or handling sensitive feedback should not be automated as these require human judgment. The right approach is to start with the most painful flow, keep it small, measure the results, and then scale up.

Quick comparison
You should choose this direction when
  • Remind of approval deadlines, synchronize assets when there are new versions, categorize and route requests.
  • The most forgotten or congested flows
Not needed when.
  • The step of final creative approval, writing emotionally engaging content.
  • The non-standard process, automation will lock in the mistakes.

Automation does not mean automating everything. The practical question is: which steps can machines perform better than humans, and which steps lose something important if done by machines? Sinh Vũ answers directly: the most valuable steps are repetitive, governed by clear rules, and forgetting once disrupts the entire chain. These often include deadline reminders, synchronizing assets when there is a new version, and classifying and routing incoming requests.

Three signs that a step is worth automating

Before establishing any automated connections, you should check that step against three questions:

  • Is there high repetition and frequency? A step that occurs once a year does not need to be automated. A step that occurs weekly or for each project is worth investing in.
  • Is the law clear? If it can be written as a condition: "When A happens, then do B", the machine can process it. If context needs to be read to decide, that is the job of a person.
  • What is the cost of a single oversight? A missed review can block the entire workflow of three people. Unsynchronized assets lead to other teams using outdated versions. These steps have high forgetfulness costs, and automation here reduces real risks.

Steps to take and steps to avoid

Should automate: Remind approval deadlines one to two days in advance. Synchronize assets (logo, colors, fonts) when a new version is uploaded to the shared library. Notify the right people when new requests come in. Label and route requests by type. Remove old versions from the shared storage. Should not automate yet: Final creative approvals, as this is where aesthetic and strategic judgment is needed. Writing content that resonates emotionally with customers. Handling sensitive feedback or complaints. Deciding on brand direction.

This boundary is not technical; it is a boundary of value: machines handle repetitive tasks so that people have time to work on higher-value activities.

Common mistakes when automating

  • Automation is rarely needed. The time saved over many years is greater than the time spent on setup. Prioritize high-frequency flows first.
  • Automation when the process is not standardized. If a manual step is being done incorrectly, automating it locks in the error. Standardize the process first, then let the machine run.
  • Creating intricate connections between multiple tools. Four interconnected tools create a system that only the builder understands. When one link breaks, no one knows where to start fixing it.
  • Confusing one-time work with long-term maintenance. Each automated connection requires ongoing maintenance: updates when tools change, checks when errors occur, adjustments when processes change. Factor these costs in before making a decision.

Standardizing tools and automating repetitive tasks to reduce bottlenecks is part of the design operations (DesignOps) infrastructure, not an optional add-on after the studio has grown.

Nielsen Norman Group, DesignOps Study Guide

The viewpoint of Sinh Vũ

In service O2, Sinh Vũ builds automated flows based on these steps: reminder for approval, asset synchronization, new version notifications, using tools like Slack bot, Zapier, or APIs depending on the client's infrastructure. The principle Sinh Vũ maintains is to start small with the most painful flow first, measure if there are real savings, and then expand. Do not create a complex system just to appear professional.

The actual result does not come from the number of automated connections. The result comes from choosing the right spots: which steps are most often forgotten, and which steps, when blocked, affect the most people. Automate in those areas, leaving the rest for decision-makers.

The tool brings back.

Decision checklist

Topic: Automating the iterative process: where it’s worth the investment. Sinh Vũ guide, sinhvu.com

0 more than 5 items

Select each item you find appropriate, then print or save as PDF to take with you.

Sign indicating that you should take action
Questions to answer before deciding

If you have marked most of the signs above, this is the time to discuss in more detail. Sinh Vũ can help you review and propose a direction.

References

Nielsen Norman Group, DesignOps Study Guide. Sinh Vũ, O2 service profile (internal).

Frequently asked questions

We use many different tools, is it complicated to connect them?

Each connection between two tools is a long-term maintenance task, not just a one-time setup. The more tools are connected, the harder it becomes to understand when something goes wrong. Sinh Vũ recommends starting with a single connection at the most painful point, stabilizing it before adding more. A simple system that works is still better than a complex system that no one understands how to fix.

We do not have a standard process yet, should we automate it first?

You should not. Automating a process that is not yet standardized locks in mistakes, and fixing them later is more costly than starting over. The correct sequence is: identify the actual flow, standardize the steps first, and only then let the machine run. If you are unclear about what issues exist in the current process, Sinh Vũ can help review it before creating any automated tools.

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