How To Create a Discovery Scorecard in IDO

Each signal represents a real behavior in the Discovery Journey and is linked to a simple metric, so marketing and enrollment leaders can see in one place how the Information Discovery Strategy is performing and use that as the reference point in the Evaluate stage.

The Scorecard aims to make student behavior trackable, increase accountability, and give the team a clear focus on what is working and what is not, so they can take those insights back to the Deliver stage for improvement.

The team starts this process by mapping a broad set of behaviors across the Discovery Journey, usually twenty to forty moments that represent how students and parents search, compare, and decide. 

Some of the signals identified will never be tracked as metrics, yet they give context that informs the understanding and judgment of the journey. From that full list of signals, typically, you select three to five Discovery Signals per pillar based on principles such as:

• They clearly lead, directly or indirectly, to inquiry, application, yield, or enrollment.
• They can be influenced through realistic work in the Deliver stage.
• They can be tracked with enough confidence.
• They matter for the institution.

Once the main signals and their metrics are agreed upon, they are compiled into a Discovery Scorecard. The Scorecard aims to make student and parent behavior trackable, increase accountability, and provide the team with a focus on what’s working and what’s not, so they can take those insights back to the Deliver stage for improvement.

How To Build the Discovery Scorecard

The creation of the Discovery Scorecards starts in the Integrate stage of the RIDE Methodology, it’s populated in the Deliver stage, and read in the Evaluate stage.

The process of creating and reading the Discovery Scorecards spans across four stages of the RIDE Methodology.

Decide – During the Integrate stage, the team agrees on the purpose, scope, and key signals for the Discovery Scorecard.

Design – Still in the Integrate stage, the team defines the Scorecard layout and agrees on which metrics will be tracked, how, and when.

Track – During the Deliver stage, the team wires tracking, checks the data flow, and populates the Scorecard with data from its systems

Review – During the Evaluate stage, the team reads the Scorecard, judges what has changed, and decides what to adjust in the next cycle.

Step 1: Decide

In Decide, the team defines the Discovery Scorecard, including the segments and programs it will cover and how often it will be read.

This is where you agree on the scope, such as undergraduate recruitment, graduate recruitment, or one major college, and the rhythm of review, such as monthly, by term, or around key milestones in the recruitment cycle.

The discussion here is less about numbers and more about which part of the enrollment story this Scorecard needs to tell and how often that story should be read together.

For example, a university may decide that the first Scorecard will focus on undergraduate business and will be read once a month during the monthly window.

Questions to answer in this step:

1. Who is this Scorecard for?
2. How often will we look at it?
3. What signals are we going to track?
4. How will we be measuring the performance of those signals?

Defining Discovery Signals

Discovery Signals are organized across the three pillars and the stages of the Discovery Journey:

• Get Found signals indicate that more of the right students and parents are encountering the institution in the environments they already use
• Get Trusted signals indicate that they understand the programs, see proof that feels credible, and keep the institution in their set of considered options
• Get Chosen signals indicate they have reached a level of confidence and are ready to move forward with an application or enrollment decision.

Visibility Signals:

Visibility Signals tell you whether people can encounter you in the first place when they discover information, and they fall under the Get Found pillar.

An extensive list of visibility signals is available in this Google Sheet.

Credibility Signals:

Credibility Signals tell you whether people are confident in the information they are consuming before making the decision, and they fall under the Get Trusted pillar.

An extensive list of credibility signals is available in this Google Sheet.

These signals focus on whether people are spending time with the information and proof points that help them trust the institution as a serious option.

Commitment Signals (Get Chosen):

Commitment Signals show whether people who are seriously considering you actually choose you, and how smoothly they move through the final steps. These signals fall under the Get Chosen pillar.

An extensive list of commitment signals can be found in this Google Sheet.

These signals focus on whether those who have progressed to serious consideration and have shortlisted your institution are able and willing to proceed to enrollment.

Defining Scorecard Metrics

While Discovery Signals describe what students and families are doing as they search, compare, and decide about college, metrics turn those signals into numbers that teams can read and understand. 

When metrics are carefully chosen, the Discovery Scorecard becomes a way to see how discovery is shifting and whether the work in Deliver is moving things in the right direction.

Every metric on the Discovery Scorecard should be behavior-driven, outcome-oriented, influenceable, and trackable. When these principles are in place, people across the institution can look at the same reference point, see the same story, and agree on what needs attention next.

1. Behavior-driven
A behavior-driven metric is a numerical indicator of a real action a student or parent takes during the journey. When a metric is grounded in behavior in this way, a change in the number is easy to read in everyday terms, and the discussion in Review stays close to what students are actually doing.

2. Outcome-oriented
An outcome-oriented metric is a metric that is directly or indirectly linked to results that matter to the institution, such as inquiries, applications, yield, and enrollment. When the link is clear, teams can see how shifts in discovery may build influence toward future results and can judge whether current work is supporting the outcomes they care about.

3. Influenceable
An influential metric is something the team can move through its work in Deliver. For each metric on the Scorecard, there should be a realistic view of which initiatives, channels, or experience changes can affect it, and over what time window. 

This principle keeps the focus on signals that can respond to campaigns, content, communications, and service improvements, so that the Scorecard supports decisions about where to adjust plans and investment.

4. Trackable
A trackable metric is one that the institution can collect and update consistently using systems it already relies on (such as analytics and the CRM) or systems it can build, given available resources. When metrics are trackable in this sense, people trust the numbers, spend less time debating the data, and more time discussing what the pattern means and what to do next.

Marketers can use those principles to shape the Scorecard’s structure and determine how metrics will be used to measure the performance of their information discovery strategy.

By the end of this process, you may end up with a number of metrics that the marketing team needs to track for day-to-day improvements, but they don’t necessarily speak to the president, provost, or other stakeholders. This is why the team has to decide which metrics will appear in the Discovery Scorecard and which will serve as operational metrics.

Choosing Scorecard Metrics

Once the signals and metrics are defined in the Decide stage, the next step is to determine which of them belong on the Discovery Scorecard. The goal here is to have a small set of metrics that tell the main story, so that the institution’s leaders can clearly see how students move through the Discovery Journey and how the Information Discovery Strategy is working, without having to search through many reports.

This step matters because the Scorecard is the single source of truth that senior teams will actually read together. If it is crowded, attention spreads across too many numbers, and the link between stages is hard to see. If it carries a small set of strong signals, leaders can use it to talk about how discovery is changing, how earlier stages are shaping later ones, and where to adjust the work in Deliver.

To choose which metrics live on the Scorecard, the team works pillar by pillar. For each metric, they ask three questions in order to qualify the metrics to be shown in the Discovery Scorecard:

1. Does this number help tell the main story about student behavior for this pillar and scope?
   This checks whether the metric belongs in the core narrative for that part of the journey. If leaders tried to explain what is happening in terms of visibility, credibility, or commitment, and this number was missing, they should feel that something important is missing. If the story still feels complete without it, that metric can stay in local dashboards and does not need a row on the Scorecard.
   
2. If this number changed a lot, would leaders pay attention and want to act?
   This asks whether the metric carries real weight in leadership conversations. A change in this number should change how they think about recruitment, spend, or focus across the Discovery Journey. Metrics that run in the background and do not prompt a response can be tracked by specialist teams without taking up space on the shared Scorecard.
   
3. Can this metric stand in for a bigger cluster of detailed numbers?
   This checks whether the metric can act as a simple stand-in for a wider area of work. Behind each Scorecard row, there may be many channel reports and tactical measures. The Scorecard metric should give leadership a clear read on that whole area without listing every detail. When this works, a change in the Scorecard number guides people to the right set of deeper reports, while keeping the shared view clean.
   

When a metric meets all three questions, it is a strong candidate for the Scorecard. The result should be a short list of core metrics for each pillar, usually 2-4 per pillar, that together describe how the institution is performing when its students discover their institution, how they build trust in it, and how they move toward a decision. 

Step 2: Design

In the second step, the team decides how the Scorecard will look and what it will contain. This is where you agree that each line on the Scorecard represents one Discovery Signal from your list, written in plain language, and that next to it, you will place the metric or metrics that express this behavior in data.

The team then settles on a small set of columns that will carry the results, usually a view of the 

• last period, 
• the current period, and 
• status or trend. 

Some teams also decide to include a target for each metric, so it is clear what they were aiming for during that period.

The goal of this step is to design a single source of truth reference for marketing and admissions teams to use when assessing the strategy’s performance. 

Step 3: Track

In the third step, the team brings the Scorecard to life by adding and assessing results for the first time. This is where you take the Discovery Signals and metrics you have chosen and attach real numbers from the period you want to evaluate. 

For each chosen signal, the team gathers results for the current and last periods from the systems it already uses. These might be analytics for visits and tool use, reports from college search platforms, or the CRM. Once these numbers sit next to each signal, the group can start to read the current state of discovery performance along the student journey. This may also be a good time to assess data availability and any changes needed to track and report it.

Once the data from platforms is gathered and put on the Scorecard, the team might see that: 

• Visibility and presence in AI assistants are improving. 
• More prospective students are asking for information. 
• More of those inquiries are turning into applications. 
• A higher share of application starts reach completion.
• A growing share of accepted students is withdrawing before enrollment. 

That mix of positive and worrying results gives the Evaluate session something specific to work with and points to specific activities that may need attention for the next round of work in Deliver.

Step 4: Read

During Evaluate, the team reads the Scorecard, judges what has changed, and decides what to adjust in the next cycle.