Data Request Management: articles for IR teams
Guides on data request intake, ticketing, and workflow design for institutional research teams.
How an IE Director Uses Clema to Bridge the Dashboard-vs-Email Gap
How an IE director uses Clema to keep stakeholders out of the email queue and let them ask dashboards in plain English, anchored in the whitepaper finding on dashboard adoption.
Clema Research Team · 5 mins readHow an Office of One Uses Clema During IPEDS Peak Season
How a one-person IR office uses Clema to handle IPEDS pulls and ad-hoc dean requests in parallel during peak season, when capacity utilization hits 90%.
Clema Research Team · 5 mins readWhat Clema Cannot Do Yet (and When It Is Not the Right Fit)
Where Clema does not fit today: very small institutions, institutions with no data source to connect, real-time pipeline needs, and bespoke statistical research. Honesty content for IR buyers.
Clema Research Team · 6 mins readWhy Higher Ed Needs Its Own AI Assistant, Not ChatGPT
Why general-purpose AI assistants fail on higher-ed data questions and what a higher-ed-native AI like Clema gets right: domain knowledge, real data, and sourced answers.
Clema Research Team · 5 mins readWhy IR Capacity Has Not Kept Up With Data Demand
The structural mismatch between rising IR data request volume and flat team capacity, and why conversational AI is now the only path that scales without a hiring cycle.
Clema Research Team · 6 mins readSix files, 209,321 programs, three join keys: turning PPD:2026 into answers your provost actually asks
PPD:2026 looks like a single dataset. On disk it's six Excel files joined on opeid6 + credlev + cip4, with mixed-vintage dollars, statistical-noise privacy suppression, and a CIP-4 key that doesn't match the CIP-6 the STATS test will use. Here's where the analyst hours actually go, and how to skip them.
Clema Research Team · 10 mins readIs Your University's Data Request Form Actually Optimized? How Better Design Can Reduce 77% of Clarification Time
35% of universities have no formal intake process, and 77% of IR offices require extensive clarification before analysis begins. Analysis of 18 university data request forms reveals what the best systems do differently.
Clema Research Team · 8 mins readWhat Is the Relationship Between Data Request Intake Quality, Request Intelligence, and Workload in Institutional Research Given That 78% of Requests Require 10+ Follow-Up Questions?
Research shows 80% of IR data requests arrive missing critical elements. Learn how Request Intelligence (the quality of requests at intake) determines whether your team spends time analyzing or clarifying.
Clema Research Team · 10 mins readBest Practices for Institutional Researchers to Optimize Data Requests and Reclaim the 60% of Team's Capacity
Discover proven strategies from IR leaders to streamline data requests, implement self-service dashboards effectively, and reclaim up to 60% of your team's capacity for strategic work.
Clema Research Team · 12 mins read