Proactive Data Quality: A Short Guide

In This Article

By: Jon Magee  | Published: August 4, 2026  |  ⏱️ 3 Min

Summary:

Good data starts before it’s entered. This practical guide walks caseworkers through the habits and techniques that improve intake data quality from the first interaction, from building client trust and protecting privacy to avoiding duplicates and slowing down when it matters.

Frederick Douglass once observed that it is easier to build strong children than to repair broken men. A parallel axiom for case management might be that it’s easier to enter good data than to fix bad data.

A Stitch in Nine Saves Time

When organizations think about data quality, the conversation often centers around audits, validation reports, duplicate detection, and data cleanup. And those are all important, but they’re also reactive, chasing after problems and not anticipating them. By the time bad data appears on a report, influences funding decisions, or affects client services, the opportunity to capture it accurately has already passed. Data that is already high quality in the first place saves you time down the line!

Here are some quick tips that can help you capture the data you need right off the bat and safe yourself a headache later.

Data Quality, Proactively

Focus on first impressions

As a case worker, you will probably be collecting a lot of sensitive information from your clients, and a lot of this information is usually collected shortly after meeting them for the first time. This can create a situation where a client might feel uneasy answering some of the questions, which can make it harder to collect the needed data. 

It’s important to go into these conversations in a way that builds trust. Realizing the client may be in a current crisis is important. 

Remain calm while conducting the intake and use simple, easy -to-understand language. There’s a balance in asking questions in a compliant way, and also meeting the client where they are at.  

You should be confident and comfortable asking questions, being knowledgeable of all questions that need to be asked. Be willing to put off or pause an intake if better quality data can be captured later (as your agency/project allows). If you’re new to all this, sometimes it can help to practice doing intakes on friends/family members 

Privacy matters

Because of the nature of some of the questions that are asked to clients, the client’s privacy should be considered. For instance, are there other people in the room that might make the client feel uncomfortable honestly answering (e.g. a spouse, children, etc.)? 

Look for ways to create an environment where you have the best chance of people feeling comfortable answering the needed questions. 

Data Quality, Proactively
Data Quality, Proactively

Hold onto some paper intake forms

Real time data entry is always preferable, but what about when that’s not possible? We can’t predict internet connectivity issues, computer or device crashes or bugs, etc. Having paper intake forms handy can ensure that you’re always prepared to collect the needed data. 

If you do have paper intake forms, you’ll want to ensure they are updated and collect all the necessary data in a format that is easy to follow without accidentally missing any questions. You’ll also want to ensure that this data is then recorded into the system as soon as possible—the faster data is put into a system after being collected, the better the data quality. 

Educate clients on how the data will be used

Technology can be scary, and seeing someone type in a ton of sensitive information you just gave them can be unnerving. If the client will not be refused services based on answers they give, let them know that right from the start. Be upfront with clients on what is shared/not shared, and with whom. This can alleviate some of that tension and help the client feel more comfortable, which can in turn help them provide better quality information.

Data Quality, Proactively
Data Quality, Proactively

Properly search for pre-existing clients in the system

If there’s a chance that the client already exists in your system, use the appropriate process to search for them as opposed to creating a new, potentially duplicate client. This could mean searching by SSN, birthdate, name, even partial name, considering that there might be typos in their pre-existing record. When recording SSN or birthdays, verify with ID where possible.

Take your time

As the saying goes, an ounce of prevention is worth a pound of cure. While it might be tempting to shorten the intake process by any means possible, sometimes slowing down is needed.

If there’s a question that has specific options, such as health insurance, income sources, etc., take the time to read out the options that are available. If there are questions that are more complex, such as the Living Situation questions found in HMIS, be willing to spend more time on them, making them conversational if it’s helpful.

For homeless history questions, use seasons or holidays to help clients estimate time periods, as well as prior HMIS data to assist clients in rememberingWork backwards in time when needed and write it out on paper if it helps. 

Data Quality, Proactively

Is This List Comprehensive and Exhaustive?

Well, no. Obviously, we can’t cover every possible eventuality. There may pop up other unforeseen circumstances. But in my experience, these six tips do make a big difference. Being mindful of all these things will give you a much better chance of collecting data correctly the first time, making life easier for you and the clients you are working with and saving you time and headaches down the line.

About the Author

Jon Magee Portrait
Jon Magee
Lead Community Operations Administrator

Jon Magee is CaseWorthy’s Lead Community Operations Administrator. He began his admin work as an HMIS administrator for his local community in Columbus, Georgia in 2011, and transitioned to working for Eccovia (now CaseWorthy) in 2017. He currently provides admin services for the Georgia and Minnesota statewide HMIS implementations. He is especially passionate about user training, system design, and the overall user experience. His time as an admin has given him a love for the data, and more importantly, the people the data represents.

Frequently Asked Questions

Errors and gaps in data are far harder to fix after the fact than to prevent upfront. The choices a caseworker makes in the first few minutes of an intake—how questions are asked, how privacy is handled, how much time is taken—directly determine the accuracy and completeness of everything that follows.

Creating a private, calm environment is essential. Other people in the room, a rushed pace, or unfamiliar jargon can all cause clients to disengage or give inaccurate answers. Being transparent about how data will be used, and making clear when answers won’t affect service eligibility, goes a long way toward building the trust that produces honest, complete responses.

Clients are often asked to remember specific time periods, and expecting precise dates might not be realistic. When that happens, you can “work backwards”, using memorable reference points like seasons, holidays, or major life events to help clients anchor their recollections.

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