Employee Invention Disclosures serve as a leading indicator of innovation within an organization, reflecting the effectiveness of R&D efforts and employee engagement.
High disclosure rates often correlate with improved financial health and operational efficiency, driving competitive positioning in the market.
By fostering a culture of creativity, companies can harness employee insights to develop new products and services, ultimately enhancing ROI metrics.
Tracking this KPI enables management to make data-driven decisions that align with strategic goals, ensuring resources are allocated effectively to maximize business outcomes.
Employee Invention Disclosures appears in KPI Depot's Intellectual Property Strategy KPI group, the group that tracks how an organization turns invention into protected, monetizable assets. Among the fifty-one metrics in that KPI group it ranks seventeenth, well below the headline measures that lead the order: Cost of IP Protection, IP Strategy Alignment with Business Goals, IP Licensing Revenue, and the two patent-count metrics, Number of Patents Filed and Number of Patents Granted. That placement makes it a supporting metric rather than a headline one, and its role is specific: it is the top of the funnel the rest of the KPI group measures downstream.
Its balanced scorecard perspective is growth, and it works as a leading indicator. A disclosure is the earliest formal signal that an invention exists, arriving long before it becomes a filed application, a granted patent, or licensing revenue. The metrics above it in the KPI group are the lagging confirmations of what the disclosure pipeline eventually produces.
The tension worth naming is with Innovation to IP Conversion Rate, priority eight in the same KPI group. Disclosures reward volume, while conversion rewards the share of that volume worth protecting. A push to lift disclosure counts, through bounties or internal campaigns, can flood the pipeline with ideas that never convert, so the disclosure number rises while conversion falls and Cost of IP Protection climbs to triage the backlog. Read Employee Invention Disclosures against Innovation to IP Conversion Rate and Number of Patents Filed, so a rising disclosure count is validated as real pipeline rather than noise the patent committee has to screen out.
The raw data lives in the invention disclosure system, the intake queue where employees, usually R&D and technical staff, file a formal disclosure, and in the IP docketing system that tracks what happens to each one afterward. Counting submissions is easy; the honest work is deciding what a disclosure is and following it far enough to know whether it mattered.
Settle the definition first. A disclosure can mean a formally submitted and reviewed disclosure form, or any idea logged in an ideation tool, and the two produce very different counts. Decide how co-invented disclosures are handled, since one invention with several named inventors should count once, not once per inventor, or the number inflates with team size rather than inventiveness. Then decide the denominator if you normalize at all: disclosures per R&D employee, per total headcount, or per research dollar each answer a different question, and a raw count simply rewards being large.
The funnel is where this metric is most often misread. A disclosure is only the first stage of disclosure to filed application to granted patent, and the later stages lag by months or years. A recent quarter always looks thin because its disclosures have not had time to convert, so reading a fresh period against a mature one is a censoring trap, not a decline. For the same reason, track disclosures alongside the share that eventually convert, because a disclosure that never becomes a filing or a license consumed review time without adding protected value.
The instrumentation pitfall specific to this metric is gaming by volume. Disclosure bounties and campaign targets reliably lift the count, and just as reliably lower average quality, so a spike driven by an incentive program should be read against conversion and patent-committee acceptance before it is celebrated. Segment by business unit, technology area, and inventor, since disclosures concentrate in a few of each, and a healthy total can hide that one team files everything while the rest file nothing.
Many organizations overlook the importance of a structured process for submitting and evaluating invention disclosures, leading to missed opportunities for innovation.
Enhancing Employee Invention Disclosures requires a proactive approach to cultivate an innovative environment.
We have 17 relevant benchmarks in our benchmarks database.
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures per US$100 million ATRE | range | mixed | university technology transfer offices | higher education technology transfer | cross-country |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures per office FTE | average | mixed | FY2020 | institutions responding to the AUTM Canadian Licensing Activ | higher education technology transfer | Canada | 30 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures per $10 million CAD research expenditures | average | mixed | FY2020 | institutions responding to the AUTM Canadian Licensing Activ | higher education technology transfer | Canada | 30 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures | average and median | mixed | FY2020 | institutions responding to the AUTM Canadian Licensing Activ | higher education technology transfer | Canada | 30 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures | average and median | HERD Group 6 ($150,000–$25,138,000 research expenditures) | 2022 | institutions (AUTM peer group comparison) | higher education technology transfer | United States | 8 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures | average and median | HERD Group 5 ($25,138,000–$50,408,000 research expenditures) | 2022 | institutions (AUTM peer group comparison) | higher education technology transfer | United States | 14 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures | average and median | HERD Group 4 ($50,408,000–$126,477,000 research expenditures | 2022 | institutions (AUTM peer group comparison) | higher education technology transfer | United States | 25 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures | average and median | HERD Group 3 ($126,477,000–$264,216,000 research expenditure | 2022 | institutions (AUTM peer group comparison) | higher education technology transfer | United States | 44 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures | average and median | HERD Group 2 ($264,216,000–$553,876,000 research expenditure | 2022 | institutions (AUTM peer group comparison) | higher education technology transfer | United States | 39 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures | average and median | HERD Group 1 (>$553,876,000 research expenditures) | 2022 | institutions (AUTM peer group comparison) | higher education technology transfer | United States | 64 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures | average and median | mixed | 2022 | institutions (AUTM peer group comparison) | higher education technology transfer | United States | 194 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures per $10 million research expenditures | average | mixed | FY2020 | institutions responding to the AUTM Licensing Survey | higher education technology transfer | United States | 197 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures per office staff FTE | average | mixed | FY2020 | institutions responding to the AUTM Licensing Survey | higher education technology transfer | United States | 197 institutions |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures per $10 million research funding | benchmark | mixed | last five years (through 2019) | institutions responding to the AUTM Licensing Survey | higher education technology transfer | United States |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures per office staff FTE | benchmark | mixed | last five years (through 2019) | institutions responding to the AUTM Licensing Survey | higher education technology transfer | United States |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures per $10 million research expenditures | benchmark | mixed | past five years | institutions responding to the AUTM Licensing Survey | higher education technology transfer | United States |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | disclosures per office staff FTE | benchmark | mixed | past five years | institutions responding to the AUTM Licensing Survey | higher education technology transfer | United States |
Browse the Top Benchmarked KPIs in Intellectual Property Strategy
KPI Depot tracks this metric across a set of sources that look consistent at first glance and diverge sharply once you read their definitions. Almost all of them, the several AUTM licensing surveys and the IP Handbook of Best Practices, measure invention disclosures inside university and research-institution technology transfer offices, not inside corporate R&D. That is the first and largest caution: an academic disclosure count reflects a very different incentive structure, headcount base, and funding model than a company's, so a figure lifted from these sources describes universities, not your firm.
Even within that academic world the sources disagree on what they are counting. The IP Handbook of Best Practices reports a cross-country range, while the AUTM surveys report single-year survey averages, and the two are not the same kind of statement. Among the AUTM figures, geography splits them: the Canadian Licensing Activity Survey and the US Licensing Survey cover different populations and cannot be pooled. Time period splits them again, since some AUTM figures are single fiscal-year counts and others are cumulative disclosures over the past five years, a distinction easy to miss and large in effect.
The subtlest divergence is normalization. The later US AUTM survey groups institutions into peer bands by research expenditure, so a disclosure count there is read against research dollars, while other AUTM tables report a flat per-institution average that mixes small and very large research universities together. Because that distribution is heavily skewed toward a handful of major research universities, an average and a median tell different stories, which is why several of these records carry both. Before trusting any external disclosure figure, confirm four things: whether it is academic or corporate, which country and year it covers, whether it is a single year or a multi-year cumulative, and whether it is normalized by research spend or headcount or left as a raw count. Miss any one and you are comparing your pipeline to something that only shares its name.
In the Intellectual Property Strategy KPI group, Employee Invention Disclosures serves as a key result under the objective of increasing efficiency in converting innovation into protected intellectual property. It sits there beside Innovation to IP Conversion Rate and IP Training and Awareness Programs coverage, and the pairing is deliberate: the objective is not raw disclosure volume but disclosures that convert, so lifting the count only helps if conversion holds or rises with it. A team would frame its own directional target, growing invention disclosures over the year through broader training and engagement, while watching that conversion does not fall as the pipeline widens.
The KPI group's OKR guidance makes the mechanism explicit, tying disclosure growth to IP Training and Awareness Programs: informed R&D staff recognize protectable inventions and file them, so the honest lever for this key result is awareness coverage, not a disclosure quota. Read that way, Employee Invention Disclosures ladders to a conversion objective rather than a volume one, and any specific figure a team commits to is its own goal for the period, never a benchmark level drawn from these sources.
This KPI is associated with the following categories and industries in our KPI database:
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An Employee Invention Disclosure is a formal submission by an employee detailing a novel idea or invention. It serves as a mechanism for organizations to capture and evaluate innovative concepts that can drive business growth.
Encouraging disclosures can be achieved through clear communication about their importance and potential rewards. Implementing recognition programs and simplifying the submission process can significantly boost participation.
Once submitted, disclosures are typically reviewed by a designated panel or committee. This team evaluates the idea's feasibility, potential impact, and alignment with strategic goals before deciding on further development.
Yes, legal considerations such as intellectual property rights must be addressed. Organizations should have clear policies in place to protect both the employee's rights and the company's interests in any inventions.
Regular reviews of the disclosure process are essential, ideally on an annual basis. This ensures that the system remains efficient, relevant, and aligned with evolving business goals and employee needs.
Yes, many disclosures can lead to patent applications if the ideas meet the necessary criteria. Organizations often have processes in place to evaluate and pursue patents for viable inventions.
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