The Learning Transfer Company Validate skills through peer review

Peerceptiv embeds structured peer review into real work to build capability and generate measurable evidence of behavior change.

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Peerceptiv skill dashboard showing overall skill averages, trends by skill, and a score progression chart

How Peerceptiv Works

Work becomes practice. Practice becomes evidence.

Step 1

Apply skills

Participants apply what they're learning to real work: a training exercise, a project, or their day-to-day role.

Step 2

Receive peer feedback

Peers review that work and deliver structured feedback aligned to targeted skills and competencies.

Step 3

Generate evidence

Organizations gain measurable data on skill growth and behavior change over time.

WHERE IT FITS

Where Organizations Use Peerceptiv

Early Career / Onboarding
Build demonstrated capability from day one, not just completion records.
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Build demonstrated capability from day one, not just completion records.
Potential Use Cases
  • New hire ramp assessments
  • Rotational program evaluations
  • 90-day skill checkpoints
High-Potential Talent
Identify readiness for promotion with evidence, not guesswork.
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Identify readiness for promotion with evidence, not guesswork.
Potential Use Cases
  • Promotion readiness reviews
  • Stretch assignment evaluation
  • Succession planning data
Sales Enablement
Turn practice pitches into measurable skill data before reps hit quota.
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Turn practice pitches into measurable skill data before reps hit quota.
Potential Use Cases
  • Pitch practice before live calls
  • Objection-handling drills
  • New rep ramp scoring
Software Engineering
Capture code review quality as structured, comparable skill evidence.
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Capture code review quality as structured, comparable skill evidence.
Potential Use Cases
  • Pull request quality reviews
  • Design doc critiques
  • Onboarding code reviews
Leadership Development
Track coaching, communication, and decision-making over time.
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Track coaching, communication, and decision-making over time.
Potential Use Cases
  • Peer coaching circles
  • Meeting facilitation reviews
  • Delegation skill tracking
Customer Success
Validate skill application in real customer interactions.
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Validate skill application in real customer interactions.
Potential Use Cases
  • QBR presentation reviews
  • Support resolution audits
  • Onboarding call evaluations
THE RESEARCH

Based on 20 years of published research on peer review.

For more than two decades, researchers at the University of Pittsburgh studied a simple question: what actually helps people develop capability? Peerceptiv is the commercial application of those findings.

20,879

Learners Studied

76

Institutions

20+

Years of Research

Read the Full Research Guide
Giving Feedback Teaches More Than Getting It
↓

Reviewing a colleague's work means evaluating it, diagnosing problems, and explaining reasoning — a deeper, more durable form of learning than passively receiving critique.

What this means: the act of reviewing builds real skill in the reviewer, on its own.

Yu & Schunn (2023); Wu & Schunn (2021)

Aggregated Peer Review Rivals Expert Review
↓

Meta-analyses find a 0.63 average correlation between peer and expert ratings, reaching 0.70 to 0.91 when studies are well designed. Multiple peer reviews closely track expert judgment.

What this means: structured multi-peer review is a credible, scalable stand-in for expert review.

Xiong et al.; Cho, Schunn & Wilson (2006)

Multiple Reviewers Drive Real Change
↓

When several colleagues independently flag the same issue, people are far more likely to act on it. Employees revising work from multiple peers improved more than those coached by one expert.

What this means: routing work to multiple reviewers raises the odds feedback actually changes behavior.

Wu & Schunn (2020); Patchan, Charney & Schunn (2009)

Peer Review Reliably Builds Skill
↓

Multiple meta-analyses confirm structured peer review produces measurable performance gains that transfer over time, strengthening critical thinking and feedback skills.

What this means: peer review engages the whole workforce as developers of each other's capability.

Yu & Schunn (2023); Li et al. (2020, 2021); Double et al. (2020)

THE CHALLENGE

Why Learning Transfer Is So Hard to Measure

Learning transfer is what happens when people take what they learned in training and use it in their work. It happens after training ends, which is why a survey or quiz can’t capture it. In Kirkpatrick terms, transfer is the bridge from Level 2 (Learning) to Level 3 (Behavior), and that’s exactly where most measurement stops.

L1: Reaction
90–94%
L2: Learning
60–70%
L3: Behavior
18–20%
L4: Results
7–10%

Share of organizations that evaluate training at each Kirkpatrick level. Source: ATD Research, Effective Evaluation: Measuring Learning Programs for Success (2019)

Fewer than 1 in 5 organizations measure at Level 3. Fewer than 1 in 10 measure at Level 4.

Because business results depend on behavior change, the gap at Level 3 means Level 4 remains invisible.

See exactly where your organization sits on the Kirkpatrick curve.

WHY THIS IS DIFFERENT

Completion Isn't Capability

Most learning programs stop measuring the moment a course ends. Here's the shift that changes everything after it.

Traditional Learning

"Tell me what you learned."

Course completion rates Quiz scores Time on platform
→
Modern Learning

"Show me what you can do."

Structured evidence Real work reviewed Timestamped proof

Peerceptiv operationalizes this at enterprise scale, capturing structured, timestamped evidence every time employees review one another's real work.

THE RESULTS

Proof in Practice

The research holds up in the workplace. Here’s what structured peer review looks like at enterprise scale.

Real Results from Fortune 100 insurer

700% Growth in Active Programs
58Hard and soft skills tracked organization-wide
90%Task completion across all programs
88.4%Avg. proficiency for skills tracked across multiple courses
43

Of 58 skills tracked across multiple assignments

74%

Of those show measurable growth (32 of 43)

19

Skills tracked across multiple courses

Source: Peerceptiv customer data, Fortune 100 insurer deployment

FAQ

Common Questions About Learning Transfer and Peer Review

What is learning transfer?
Learning transfer is the application of knowledge, skills, or behaviors learned in training to real work. It is the difference between an employee who can explain a new skill and one who actually applies it, adapts it to real situations, and keeps using it over time. In the Kirkpatrick Model, learning transfer is the bridge between Level 2 (Learning) and Level 3 (Behavior).
Why does training fail to transfer to the job?
Training usually fails to transfer because nothing after the course supports it. Employees get no structured opportunity to apply the new skill in real work, no feedback on how they applied it, and no reinforcement from their work environment. Learning transfer is built after training, in the workplace: people need to apply the skill, receive feedback, and improve through practice.
What counts as evidence of learning transfer?
The strongest evidence of learning transfer is a record of someone performing a skill in real work, reviewed against clear criteria. The Learning-Transfer Evaluation Model (LTEM) ranks evaluation evidence by quality. Attendance, learner reactions, and knowledge checks are weak evidence because they show only what people finished or remember. Strong evidence shows what people can actually do. It is the difference between asking “Tell me what you learned” and “Show me what you can do.”
How do you measure learning transfer?
You measure learning transfer by observing whether people apply a target skill in real work, not by testing whether they can recall it. In practice, that means having peers or managers assess actual deliverables against organizational standards tied to the skill, repeated over time. Manager observation alone is hard to sustain because it is slow, subjective, and expensive at scale, which is why fewer than 1 in 5 organizations measure at Kirkpatrick Level 3 (ATD Research, 2019).
What is structured peer review in the workplace?
Structured peer review in the workplace is a process in which employees evaluate one another’s real work, such as reports, code, sales pitches, or client deliverables, using structured feedback prompts. Each piece of work is distributed to multiple colleagues, who review it against organizational standards; the ratings are then aggregated to produce skill data. Unlike informal feedback, structured peer review produces consistent, comparable data on how well each person applies specific skills.
Is peer review reliable? Can non-experts evaluate work as accurately as experts?
Yes, when the review process is structured. Meta-analyses find an average correlation of 0.63 between peer and expert ratings, and well-designed studies report correlations of 0.70 to 0.91. Reliability comes from aggregation: when several trained peers assess the same work independently against organizational standards, their combined judgment closely tracks expert judgment. Grant review panels, 360-degree performance reviews, and editorial boards rely on the same principle.
How does peer review improve employee skills?
Peer review builds skill in both the person being reviewed and the reviewer. Reviewing a colleague’s work requires evaluating it, diagnosing problems, and explaining your reasoning, which produces more durable learning than passively receiving critique. Feedback from multiple peers also drives more revision than feedback from a single expert, because people are more likely to act when several colleagues flag the same issue. Meta-analyses confirm these performance gains carry over to new tasks.
What is Peerceptiv?
Peerceptiv is the learning transfer company. Its platform uses structured peer review to help organizations prove that training changes how people work. Employees evaluate one another’s real work against organizational standards. Reviews are aggregated using an algorithm based on over 20 years of published research, such that every review cycle generates Kirkpatrick Level 3 (Behavior Change) evidence as a byproduct of the work itself. That makes Peerceptiv the bridge between what people learn and how they perform on the job.
How is Peerceptiv different from a learning management system (LMS)?
A learning management system (LMS) records whether someone finished a course; Peerceptiv shows whether they can apply what they learned. LMS platforms and other completion-based tools track course completions, quiz scores, and time on task, which confirm attendance, not ability. Skills-inference platforms estimate capability from proxies like resume activity, system usage, or self-reported profiles, but an estimate is not evidence. Peerceptiv evaluates real work directly, using multiple trained peer reviewers who rate it against organizational standards, so its data reflects demonstrated skill.
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Ready to see how peer review could transform learning and development in your organization?