Reports seldom fall apart in the data. They fall apart in a single follow-up question:
“How exactly did you calculate that?”
If your team can answer with a definition, a source, and a name, the report holds.
If the answer is a pause and a search through old spreadsheets, the number loses credibility, and so does everything around it.
Let’s audit the logic.
An indicator dictionary prevents that moment. It is a simple reference document that defines each metric well enough for someone outside your team to understand it, reproduce it, and trace it.
This article covers the five fields it needs at a minimum.
Why an indicator needs more than a name
A name such as “teacher confidence” tells a reader the topic.
It does not tell them what was counted, who was included, where the data came from, when it was gathered, or who is accountable for it.
Funders, auditors, and board members ask those questions because they decide whether a figure can be trusted with money attached to it.
Field 1: Numerator
The question it answers: What exactly are you counting?
The numerator is the quantity at the top of the calculation. If you track the percentage of teachers who reported increased confidence after a training, the numerator is the number of surveyed teachers who reported increased confidence.
What goes wrong without it: Two people read the same indicator two ways. One counts every teacher who selected “agree.” Another counts only those who selected “strongly agree.”
The headline stays the same while the calculation shifts underneath it.
Field 2: Denominator
The question it answers: Compared with how many?
The denominator sets the group the numerator is measured against. Using the same example, it is the number of surveyed teachers who responded to the confidence item. The calculation then reads: numerator divided by denominator, multiplied by 100.
What goes wrong without it: A number like 92% sounds precise, yet it means little until you know the group behind it. Is it 92% of all enrolled teachers, or 92% of the teachers who answered that question? The answer should already be written in the indicator definition.
This matters most for rates, completion percentages, response rates, and proportions.
Field 3: Source
The question it answers: Where does the number come from?
The source points to the underlying evidence. Typical sources include:
→ A survey
→ An attendance record
→ An administrative database
→ An assessment
→ An interview dataset
→ A referral log
What goes wrong without it: The reported figure has no path back to the evidence. The STEM Teacher Training evaluation in Cross River State, Nigeria shows why this matters. It generated data on teacher confidence, comprehension, and self-reported readiness, and that data was later published in a peer-reviewed journal in 2024.
Findings only reach that stage when the underlying evaluation produced data that could be analyzed and documented.
Field 4: Cadence
The question it answers: When is it measured?
Cadence is the measurement schedule. Will you collect the data weekly, monthly, at baseline and post-program, or at the end of each training cycle? The right answer depends on what the indicator is designed to show.
What goes wrong without it: Nobody knows when to collect, so collection happens late or inconsistently. For outcomes that involve change over time, timing carries extra weight.
A baseline is a working part of an evaluation plan, because it sets the starting point against which change is measured.
Field 5: Owner
The question it answers: Who is responsible for this number?
This field is easy to skip. The owner is a named person for the specific indicator, rather than for the whole evaluation system. That person should know:
→ What needs to be collected
→ Where it is stored
→ When it is due
→ Who checks it
What goes wrong without it: A well-designed indicator slowly becomes unreliable because no one is accountable when collection slips.
The five fields together
A good dictionary entry lets a reader grasp the measurement logic at a glance. The figures below are illustrative.
→ Indicator – % of teachers reporting increased confidence
→ Numerator – Teachers reporting increased confidence
→ Denominator – Teachers responding to the confidence item
→ Source – Teacher survey
→ Cadence – Pre and post training
→ Owner – Designated evaluation or data lead
Definitions should always match your evaluation design. The goal is to remove ambiguity, and a single template used identically by every team is beside the point.
How it protects you in an audit
Picture a funder asking, “Where did this 92% come from?”
With a dictionary in place, you can trace the figure backward:
1. The 92% figure
2. The defined calculation
3. The numerator and denominator
4. The source
5. The measurement timing
6. The responsible owner
The number now has a traceable structure. Without one, a team may know the number and still struggle to defend it. That gap separates having a metric from having a defined indicator.
A lesson in scope from the STEM evaluation
The STEM Teacher Training evaluation examined teacher confidence, comprehension, and self-reported readiness. It did not claim to measure student test scores, and the report said so plainly.
A strong indicator dictionary builds that discipline into daily work. It tells your team:
→ This is what we are measuring.
→ This is how we calculate it.
→ This is where the data comes from.
→ This is when we collect it.
→ This is who owns it.
That clarity makes reporting easier and makes evaluation more durable. The STEM findings were later published in a peer-reviewed journal in 2024, which gave the work a permanent, citable record.
The takeaway for CSR and nonprofit leaders
Define the indicator before you need to defend the number. When a funder challenges your report, the time for agreeing on what the percentage means has already passed.
Next step: Download the Indicator Dictionary Template and define the metrics your team needs to defend → https://olpadrindicatordictionarytemplate.claritytoimpact.com/?utm_source=linkedin&utm_medium=social&utm_campaign=indicator_dictionary
Evidence-led, impact-driven. The OLPADR way.