Key Takeaway
Proper R&D time categorization raises SR&ED claims by 15-30%, almost entirely by capturing work the team already did but never documented or filed under the wrong category.
Most R&D teams can’t say where last quarter’s engineering hours went. They can tell you what shipped. They can’t tell you which projects ate the budget, or which of those hours qualified for SR&ED.
That gap costs money twice. Once in the credit you underclaim. Again in the resourcing calls you make blind. This article covers what time categorization actually recovers, what the underclaim is worth in dollars, and how to roll it out without the team revolting.
What is R&D time categorization?
Time categorization sorts engineering hours by the kind of work they represent, not just the project they were billed to. A developer’s week might split across four buckets: experimental work on an unproven approach, routine feature build, bug triage, and a production incident.
Only the first bucket is SR&ED-eligible. Standard time tracking gives you one number for the week. Categorization gives you the split.
That distinction is the whole game. The CRA doesn’t fund the week. It funds the part of the week spent resolving technological uncertainty.
How much does time categorization add to a SR&ED claim?
Between 15% and 30%, in our experience. The gain comes from two places, and neither involves claiming more aggressively.
The first is undocumented work. Engineers spend real hours on approaches that fail. Those hours qualify. They rarely get written down, because nobody logs a dead end with the same care they log a shipped feature.
The second is miscategorization. Work gets filed under the wrong project or lumped into “development” as a single line. The hours were tracked. They just weren’t tracked in a way that survives a CRA review.
Both problems are recovery, not inflation. You’re claiming work you already paid for.
What does the underclaim cost in dollars?
Run the arithmetic on a mid-size claim. A Canadian-Controlled Private Corporation gets a 35% refundable federal credit on the first $3 million of qualified expenditures, plus the provincial credit on top.
Say your documented eligible labour is $800,000. At 35% federal, that’s $280,000 back. Now say 20% of your qualifying work never made it into the claim. The real eligible base was $1 million. You left $70,000 on the table, federal alone, in one filing year.
Add Quebec’s 30% refundable credit on the first $3 million and the number roughly doubles. Repeat it for three years and the cost of not tracking properly exceeds the cost of any tool on the market.
What does poor documentation cost during a review?
More than the underclaim, usually. A claim assembled from memory at filing time has a specific failure mode: the reviewer asks where a number came from, and nobody can answer.
The cost lands in three parts. Professional fees to defend the claim. The adjustment itself if the defense fails. And the engineering hours your senior people spend reconstructing a year-old timeline instead of building.
A 30% adjustment on a $400,000 claim is $120,000, before fees and interest. That’s the number to hold in your head when someone argues tracking isn’t worth the overhead.
Why do developers resist time tracking, and what fixes it?
They resist it because manual entry is tedious and they know the output is fiction. End-of-month reconstruction is roughly 20-40% inaccurate. Engineers can tell they’re producing a number that isn’t true, and it grates.
Automation fixes it. Tools that read the work your team already produces, git history, pull requests, Jira tickets, and categorize from that, remove the entry step entirely. Nobody fills in a timesheet. The evidence was already there.
This is also what makes the documentation defensible. A categorized hour tied to commit 4a7f2c1 on a dated branch is an artifact. A categorized hour typed into a form in April, about work done the previous June, is a recollection.
How do you roll it out?
Four steps, and the order matters.
Start with the gap, not the tool. Pull last year’s claim. Compare what you filed against what your repository says the team actually worked on. The delta is your business case, in dollars, specific to your company.
Pick for integration, not features. The tool has to read the systems your engineers already use. If it needs a new habit, adoption fails and you’re back to reconstruction.
Run one quarter in parallel. Keep the old process alongside the new one for three months. You’ll get a real comparison and a fallback if something breaks mid-year.
Assign the claim to one person. Tooling captures evidence. Someone still has to own the filing. Claims fall apart when everyone assumes finance and engineering are each handling it.
What changes after the first year?
The credit goes up, which is the point. Two other things happen that finance teams tend to value more by year two.
Forecasting gets accurate. You know what a project of a given shape actually consumed, so next year’s R&D budget is built on measurement rather than the last estimate plus a margin.
Bottlenecks become visible. When the data shows 40% of senior engineering time going to incident response, that’s a staffing decision you can defend with a number. Before, it was a feeling.
Frequently Asked Questions
How much can time categorization tools increase SR&ED claims?
Typically 15-30%. The gains come from capturing qualifying activities that were previously undocumented or filed under the wrong category, not from claiming more aggressively. You’re recovering work you already paid for.
What’s the ROI of implementing a time categorization tool for R&D?
On a $800,000 eligible labour base, a 20% capture improvement is worth about $70,000 in federal credit alone at the 35% CCPC rate, and roughly double that with Quebec’s provincial credit. That’s before counting reduced audit exposure and the senior engineering hours you stop spending on reconstruction.
How do I get developers to actually use time tracking?
Automate it. Manual time tracking runs 20-40% inaccurate and creates admin work developers resist. Tools that read git, Jira, and Slack and categorize automatically remove the adoption problem, because there’s nothing for anyone to fill in.
Want to know what your current claim is missing? Talk to our team about connecting Chrono R&D to your repository and seeing the gap on your own data.