It’s 9 a.m., and the first thing you open isn’t Jira — it’s an Excel sheet built from last week’s exported issues. Tabs everywhere. Filters stacked on top of filters. A few color-coded cells that made sense when you created them. A broken formula you keep promising to fix “later.”
Excel feels convenient. It’s flexible, familiar, and technically free. But many teams eventually discover that spreadsheets become one of the most expensive components of their workflow — not because of the software cost, but because of the invisible overhead they introduce.
Below is a closer look at the real cost of spreadsheet-based planning for Jira teams, based on what teams in the Atlassian ecosystem regularly encounter.
If you’ve spent Friday evenings “quickly aligning” your spreadsheet with Jira data, you’ve already paid the price of this workflow.
Repeated exports, copy-paste routines, and reconciling mismatched fields quickly add up. Studies estimate teams lose around 9 hours per week per person to manual data operations. Multiply that by a 10-person team, and you’re looking at more than a full workday lost every week.
Meanwhile, the spreadsheet you’re updating is already drifting out of sync with Jira the moment you close it. The result is a planning system that takes hours to maintain — and still isn’t reliable.
Anyone who has used Excel for planning knows how fragile it can be. One accidental sort, one overwritten formula, one missing bracket — and suddenly next week shows a developer with –8 hours available.
It sounds harmless until it isn’t. Research shows that over 88% of spreadsheets contain errors, and even small miscalculations can create downstream issues:
incorrect capacity assumptions
misaligned deadlines
inaccurate workload distribution
project delays triggered by a single wrong cell
Real-world cases show companies losing millions due to spreadsheet errors. Most Jira teams won’t see numbers that dramatic, but they will feel the impact in missed commitments, rework, and preventable firefighting.
Even the most beautifully formatted spreadsheet can only show who was available at the moment you last updated it.
Vacations, urgent tasks, cross-team dependencies — none of these automatically update in Excel. In fast-moving teams, that delay creates avoidable blind spots:
discovering overallocation mid-sprint
missing an available contributor who could have unlocked a feature
realizing too late that a critical skill is booked out for the month
No matter how many formulas or Gantt charts you build, Excel remains static. And static tools introduce delays in decisions that should be made using live data.
Few people join engineering or product teams hoping to maintain spreadsheets.
But when the planning source of truth is a file buried in Slack or email threads, frustration builds fast. Common symptoms:
multiple versions of the same file in circulation
meetings spent debating which sheet is “the latest”
declining engagement as people stop trusting the data
burnout from repetitive administrative tasks
Surveys show that over half of employees feel drained by manual data work. Teams that operate in Jira day-to-day typically expect planning tools that stay in sync with the actual system of record — not a disconnected layer they must constantly correct.
Here’s what these inefficiencies translate to for a 10-person team. We dived into numbers (find all the sources here) and now see that even conservative assumptions show how quickly the hidden cost of spreadsheets compounds.
| Cost Category | Typical Impact | Example Yearly Cost (10-person team) |
|---|---|---|
| Wasted Hours | ~9 hours/week of manual data work | $234k/year (at $50/hr) |
| Spreadsheet Errors | 1–3 impactful incidents per year | $50k–$150k/year |
| Lack of Real-Time Visibility | Delayed reallocations, slower time-to-market | $100k–$300k/year |
| Team Frustration & Turnover | Attrition caused by repetitive admin work | $80k–$200k/year |
Conservative total estimate: ~$460k/year
Realistic range: $300k to $1M+, depending on project scope and team size.
These numbers vary by organization, but the pattern is consistent across Jira teams: spreadsheets introduce significant hidden costs as soon as planning grows beyond a single person.
For teams working inside the Atlassian ecosystem, the natural question becomes: what’s the alternative?
Many teams eventually reach for tools that eliminate the spreadsheet layer by visualizing and forecasting Jira data directly. One example is ActivityTimeline, which is frequently adopted when teams want planning that:
updates automatically as Jira issues change
shows workload, availability, and utilization in real time
provides a shared, version-free view of the plan
reduces manual reconciliation and formula maintenance
ActivityTimeline does this by layering visual planning and capacity forecasting directly on top of Jira, so the “spreadsheet work” disappears and teams can plan from the same live dataset they already use for execution.
Even before calculating ROI, teams often report a more immediate benefit: less friction. Less chasing files. Fewer meetings spent deciphering formulas. More confidence in the plan.
Most teams don’t replace spreadsheets because they dislike Excel. They replace them because the complexity of their work outgrows the tool.
And when planning finally runs on the same real-time data as delivery, teams regain not just time — but trust in their own system.
Daria Spizheva_Reliex_
Content Marketing Manager at Reliex
Reliex
Tallinn, Estonia
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