Dan Harrison and Kimberly Farace argue that assessment teams need better connections between fragmented data, not more dashboards. By linking operational, technical, behavioural and candidate feedback signals across the journey, organisations can uncover hidden microtrends, diagnose friction faster, strengthen integrity and make more confident, targeted improvements to candidate experience overall.
Programs aren’t struggling to grow globally or meet candidates’ needs because they lack data. They’re struggling because the complete story is hidden. When assessment and credentialing teams can’t see the full story across the candidate journey, small signals get lost. These are the microtrends that, when connected, can pinpoint and reveal areas for improvement and growth.
When fragmentation slows progress
Every exam owner wants to understand where candidates get stuck. They also want to grow pipelines, reduce complaints, expand into new markets, and strengthen integrity: everything. But friction is difficult to diagnose when information sits in disconnected systems.
Widespread fragmentation makes it harder to detect patterns that only emerge when information is viewed together
Right now, most programs assemble labor market data in one place, eligibility records in another, scheduling tools elsewhere, Candidate Problem Reports (CPR) in a separate workflow, surveys in spreadsheets, and results in PDFs. This widespread fragmentation makes it harder to detect patterns that only emerge when information is viewed together. This leads programs to hesitate or unintentionally overcorrect based on incomplete context. Research consistently shows that fragmented data obscures trends that become visible only when aligned side-by-side.
The problem isn’t noise, it’s missing context
A restart spike gets dismissed as routine because it fits within the normal range, until you drill into a single exam or region and realise the technical issue was isolated to one form. Or a candidate complaint can look like an anomaly until you connect it with travel burdens, seat availability, or a misunderstanding about prohibited devices.
Without context, daily disruptions blend into overall averages. With context, everything changes.
Weather, local outages, accommodation delays, site-level inconsistencies: these factors materially affect outcomes. But unless you can view operational activity, candidate behaviour, and qualitative feedback together, you’re guessing. Weather, infrastructure failures, and regional outages create spikes and local anomalies,” Cloudflare reported in its 2024 Internet Disruption Summary.
The insight loop: Understand it. Connect it. Improve it
Understanding candidate behaviour requires more than looking at individual data points in isolation. By bringing different signals together, organisations can see how operational issues, candidate experiences and wider trends interact. Connecting emerging patterns and making more informed decisions about where improvements will have the greatest impact.
1. Understand it
Clarity increases when operational, technical, behavioural, and qualitative signals can be interpreted together. When CPR or Candidate Problem Report Security (CPRS) activity aligns with exam‑level trends, when candidate comments pair with displacement behaviour, or when eligibility timelines are considered alongside seat availability, isolated anomalies start to form explainable patterns.
This is where friction points become visible: travel burdens, expired authorizations, discouragement after unsuccessful attempts, inconsistent communication, and delays in accommodations. Each seems routine alone. Together, they reveal why candidates disengage.
2. Connect it
When information is interpreted alongside other information, microtrends begin to explain macro shifts:
- Seat shortages become distinguishable from geographic mismatches
- Candidates who fail once and disappear emerge as identifiable groups needing targeted support
- Travel burdens surface as actual barriers rather than anecdotal inconveniences
- Integrity patterns become visible earlier (with appropriate privacy oversight)
- Global demand becomes clearer when candidate movement across regions is visible
Research shows that disconnected spreadsheets rarely reveal these interactions, while integrated perspectives make them more apparent (GMAC 2025 Geographic Trend Report).
3. Improve it
When teams can interpret the context around signals more easily, operational response becomes timely and intentional.
- Reduce escalation loops when relevant candidate status information is readily available
- Eligibility adjustments become strategic tools rather than occasional exceptions
- Capacity decisions reflect actual demand patterns instead of anecdotal impressions
These are outcomes commonly stem from better visibility into real‑time activity (Calabrio State of the Contact Center 2025).
Connecting data
Research highlights several practices that help programs increase clarity and reduce avoidable friction:
- Regularly examine one area where candidates experience delays or confusion, and resolve it within a defined cycle
- Pair displacement indicators with rescheduling information to reduce unnecessary follow‑ups
- Consider CPR and CPRS insights alongside operational indicators
- Review survey themes in the context of seat availability or site‑level conditions
- Maintain pathways that enable quick movement from a broad trend to a specific underlying cause
- Ensure support teams have access to relevant, up‑to‑date candidate status
- Develop privacy‑reviewed indicators that connect registration, scheduling, system interactions, site activity, and performance data
These approaches align with industry discussions around reducing managed complexity through structured improvement cycles (Gartner 2024–2025 Data & Analytics Trends).
Where unified signals become real change
A restart spike shouldn’t automatically trigger a full audit. Start by reviewing the issue by exam, region, time block, CPR activity, and candidate feedback. If localised, respond locally; if systemic, take broader action. Outage analyses consistently show that localised technical or environmental disruptions are common and should be isolated before broad actions are taken (Ookla 2024 Outage Analysis).
If candidates struggle to find seats, compare demand and availability side-by-side. Are seats actually full, or is geography, scheduling preference, or communication contributing to the issue? If supply truly falls short, programs can assess whether capacity expansion or new markets are appropriate.
Interpreting signals across the full candidate journey strengthens integrity oversight by revealing early indicators of potential risk, before they surface in later stages. This end‑to‑end signal awareness is a core principle highlighted in recent industry reviews on integrity in the AI era, such as the Stanford AIWG Guidance (2025).
You don’t need more dashboards, but better data relationships
Industry analysis repeatedly shows a shift away from accumulating more tools and toward developing governed, contextualized data products and real‑time insights (MIT Technology Review Insights 2024). The goal isn’t more interfaces: it’s more meaningful connections between the signals programs already collect.
Dan Harrison is Senior Manager, Product Management at Prometric
Kimberly Farace is Director, Client Advocacy, Client Success at Prometric
