Frequently Asked Questions
Empowering School Districts Through Clear, Actionable Data
Frequently Asked Questions
What kind of school districts do you work with?
I primarily work with small to mid-sized K–12 districts that need customized data tools and support. If you’ve got data and a vision, I’m here to help. If you need assistance organizing, visualizing, and/or communicating your data with stakeholders, we can create solutions together.
Do we need any special software to use your tools?
Nope! Most tools I create (cloud-based, interactive dashboards, automated reports, and workflow solutions to meet your needs) are built in Google Sheets, Looker Studio, and AppSheet—platforms many districts already use. There’s no need to install anything or purchase new software.
Do you offer training?
Yes! Every project includes walkthroughs, guides, and training tailored to your team. I want you to feel confident using the tools I create.
Can you help us clean up messy data?
Absolutely. Organizing, streamlining, and structuring messy data is one of my specialties. Let’s turn that chaos into clarity.
Do your dashboards connect directly to our Student Information System (SIS) or other platforms?
I do not offer direct integrations (API integrations) or live connections to SIS or other vendor platforms. However, I can work with data exports—including spreadsheets or CSV files—and blend data from multiple sources to create insightful, customized dashboards. I aim to make the update process as easy as possible for your team, with clear instructions and tools to streamline data refreshes.
Understanding the Jargon
Action Step
A task or initiative designed to support a goal (e.g., implement new SEL curriculum).
Average (Mean)
A sum of values divided by the number of values; can be misleading with outliers.
Baseline
The starting point for measuring progress (usually the first data point in a time series). For strategic plans, the starting point is usually the measurement before implementing new actions to reach the target.
Dashboard
A visual display of your key data, usually updated in real-time, that helps you track progress and make informed decisions.
Data Integration
Combining information from multiple sources (like SIS, assessments, and survey results) into one place for easier access and analysis.
Data Point
A single value in a data set (e.g., ACT score of 21 for one year).
Dirty Data
Dirty data is information that’s messy or wrong—like missing details, typos, duplicates, or inconsistent formats—that can cause confusion or lead to bad decisions. It’s like trying to follow a recipe with ingredients listed in the wrong order or missing altogether.
Disaggregate
Breaking data into subgroups (e.g., by race, grade level, or program participation) to examine equity.
Focus Area
A broad category in a strategic plan (e.g., Student Success, Staff Well-being).
Indicator
A specific measure used to track progress toward a goal (e.g., % of students reading at grade level).
KPI (Key Performance Indicator)
A measurable value that shows how well you’re meeting your goals. Think graduation rates, test scores, attendance — whatever matters most to your district.
Lagging Indicator
A result that reflects past performance (e.g., graduation rate at year end).
Leading Indicator
A short-term measure that predicts long-term outcomes (e.g., 9th grade course failures predicting graduation).
Metric
A single, measurable data point—like graduation rate or attendance percentage.
Outcome
The result or impact of an initiative—what changed because of the work.
Real-Time Analytics
Your data updates automatically, so you’re always seeing the most current information — no more waiting for monthly reports.
Target
A goal or benchmark set for a metric (e.g., 90% attendance rate).
Trend
The direction data is moving over time (increasing, decreasing, or stable).
Percentage vs. Rate
Percentage is a part out of 100; rate may include frequency over time (e.g., incidents per 1,000 students).
Dynamic vs. Static Report
Dynamic updates automatically as data changes; Static is fixed, like a PDF snapshot.
Correlation vs. Causation
Correlation means two things move together; causation means one causes the other. Correlation ≠ causation.
Data vs. Evidence
Data are raw numbers or facts; evidence is data interpreted in context to support conclusions.
Growth vs. Achievement
Achievement is performance at a single point in time; growth is improvement over time.