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  • The busywork audit: a practical guide to finding what your team should automate

    The busywork audit: a practical guide to finding what your team should automate

    Most teams know they lose time to routine work. Very few can say how much, or which routines are worth fixing first. This guide gives you a method you can run in an afternoon with nothing more than a shared document and a few teammates.

    We call it the busywork audit. It is not specific to Orbira. You can run it and do the automation with whatever tools you like. We wrote it because every conversation we have with teams starts in the same place: “we know we should automate things, but where do we begin?”

    Why start with an audit

    Automation projects fail in two ways. Some automate something nobody cared about, so the effort never pays back. Others try to automate something that was never well defined, so the result is brittle and people stop trusting it.

    An audit avoids both. It makes you write down the work as it really happens, and it ranks that work by a simple measure of payoff and risk before you touch any tool.

    Step 1: Collect the candidates

    Ask each person on the team to list every task they did more than once in the last month that felt mechanical. Give them ten minutes. Prompt with these questions:

    • What did you copy from one place to another?
    • What did you write that looked almost the same as something you wrote before?
    • What did you check, sort or label by hand?
    • What did you chase someone about?
    • What report did you build from the same sources as last time?

    Do not filter at this stage. A messy list of thirty items is better than a tidy list of five.

    Step 2: Describe each one in one sentence

    Take each item and rewrite it as a single sentence in the form: when X happens, do Y with Z, and deliver it to W. For example:

    • When a support email arrives, decide if it is about billing, a bug or a feature request, and put it in the matching queue.
    • Every Friday, summarise the tasks closed this week and post the summary to the team channel.
    • After each customer call, turn the notes into action items and create tasks for them.

    If you cannot write the sentence, the task is not yet well defined. Put it aside. That is useful information too: it means the work depends on judgement that has not been written down.

    Step 3: Score each task

    Give every task three scores from 1 to 5.

    Frequency. How often does it happen? A daily task scores 5, a monthly task scores 2.

    Effort. How long does one occurrence take? Ten seconds scores 1, an hour scores 5.

    Stakes. What happens if it goes wrong? A typo in an internal summary scores 1. A wrong message to a customer scores 5.

    The payoff is frequency multiplied by effort. The risk is the stakes score. A high-payoff, low-risk task is your first candidate. A high-payoff, high-risk task is a candidate with an approval step. A low-payoff task is probably not worth the trouble, however annoying it feels.

    Step 4: Check the inputs and the outputs

    For each shortlisted task, answer three practical questions.

    1. Where does the information come from, and can it be read automatically?
    2. Where does the result go, and can it be written automatically?
    3. Who decides whether the result is right, and how will they see it?

    The third question matters most. If nobody will look at the result, it will quietly drift. If the right person can review it in under a minute, the automation will last.

    Step 5: Choose the first three

    Pick no more than three. Choose one that is quick and safe, so you get a win. Choose one that saves the most time. Choose one that involves approval, so you learn how your team feels about handing over decisions.

    Resist the urge to start with the most impressive task. The first workflow teaches you how to describe, review and trust automation. Pick something where being wrong is cheap.

    Step 6: Define what done looks like

    For each of the three, write down the expected result, who approves it, and how you will know it is working. A good definition is concrete: “the Friday summary appears in the team channel by 16:00, and the owner reads it before it posts.”

    Also decide when you will review. We suggest looking at the first five runs of any new workflow closely, then once a month after that.

    A worked example

    Imagine a four-person product team. Their list contains eleven items. After scoring, three stand out:

    • Weekly status summary: frequency 4, effort 4, stakes 2.
    • Triage of the shared feedback inbox: frequency 5, effort 3, stakes 3.
    • Copying action items from meeting notes into tasks: frequency 4, effort 2, stakes 2.

    The status summary has the best payoff and low stakes, so it goes first. The inbox triage has a higher stakes score because a mislabelled message might be missed, so the team decides labels can be applied automatically but replies need approval. The meeting follow-up goes third because it depends on notes being written in a consistent shape.

    This is an illustration of the method, not a measured result from a real team.

    What not to automate

    Some work should stay with people. Be cautious about tasks that involve sensitive conversations, one-off judgement calls, or anything where the person on the other end expects a human. Automation can prepare the groundwork for these tasks, for example by gathering context, but the decision and the words should be yours.

    Common mistakes

    • Automating a broken process. If the manual version is confusing, the automated version will be too. Fix the process first.
    • Skipping the review step. Even simple workflows drift as tools change.
    • Giving broad access. Grant the narrowest permission that works, and widen it only with a reason.
    • Measuring nothing. Keep a simple count of how many times each workflow ran and how often you had to correct it.

    Your next step

    Block thirty minutes this week. Run steps 1 and 2 with your team. You will end up with a list that is useful whether or not you ever use Orbira. If you would like to try Orbira on the first workflow you pick, join the waitlist.

  • How to describe a workflow so it works the first time

    How to describe a workflow so it works the first time

    When you describe a job to Orbira, you are writing a short brief. The better the brief, the less you need to fix afterwards. These are the habits we have seen make the biggest difference in early testing.

    1. Name the trigger

    Say when the workflow starts. “Every Friday at 15:00” and “when a new email arrives in the support inbox” are triggers. “Regularly” is not.

    2. Name the sources

    List where the information lives. “Closed tasks from the project tracker” is better than “what the team did”.

    3. Say what good output looks like

    Describe the shape of the result: length, tone, headings. “A summary of five bullet points, grouped by project, in plain language” gives far better results than “a summary”.

    4. State the destination

    Say where the result goes and who sees it. Posting to a team channel is different from sending to a customer, and Orbira treats them differently.

    5. Mark the approval points

    Tell Orbira which steps need a yes. A good default: anything that sends, shares or deletes.

    6. Add one rule for the edge case

    Most workflows have one awkward case. Write it down. “If fewer than three tasks closed, skip the post and tell me instead.”

    Before and after

    Before: “Keep the team updated on progress.”

    After: “Every Friday at 15:00, read the tasks closed this week from the project tracker, group them by project, write a summary of at most five bullet points in plain language, show it to me, and after I approve post it to the team channel. If fewer than three tasks closed, do not post and message me instead.”

    The second version has a trigger, a source, an output shape, an approval step, a destination and an edge case. It takes thirty extra seconds to write and saves the back-and-forth.

    Review the plan, not just the result

    When Orbira proposes steps, read them. Check which tools each step touches and whether any step writes something. This is where mistakes are cheapest to catch.

  • Shared inbox triage, step by step

    Shared inbox triage, step by step

    Shared inboxes are where small problems pile up. Messages arrive, someone has to decide where they go, and the deciding takes more time than anyone admits. Here is a pattern for automating the sorting while keeping the replying human.

    The goal

    Every new message ends up labelled and assigned to the right queue, and urgent ones are flagged. Nothing is sent to a customer without a person approving it.

    Step 1: Define your categories

    Keep them few and distinct. Four to six is plenty. For example: billing, bug report, feature request, partnership, other. Write one sentence on what belongs in each.

    Step 2: Describe the workflow

    “When a new email arrives in the support inbox, read it and decide which category it belongs to. Apply the matching label and assign it to that queue. If it mentions an outage or data loss, also mark it urgent and notify me. Draft a short acknowledgement but do not send it.”

    Step 3: Set access

    The workflow needs to read the inbox and apply labels. It does not need to send mail. Give it read and label access, and leave sending to a separate approval-gated step.

    Step 4: Test with real examples

    Run it on ten past messages. Check how many landed in the right place. Look at the mistakes: are they unclear messages or unclear categories? Often the fix is rewriting a category description.

    Step 5: Turn on approvals for replies

    Drafts appear in the queue. Someone reads, edits and sends. Over time you may decide that a narrow class, such as a receipt request, can be sent automatically. Make that a deliberate choice.

    Step 6: Review weekly at first

    Look at the messages labelled “other”. If a pattern appears, add a category. If urgent flags fire too often, tighten the rule.

    Things to watch

    • Messages in other languages may need their own handling.
    • Forwarded threads can confuse classification.
    • Automatic labels should be visible to the whole team, so mistakes are easy to spot and correct.