Rt101 2015 ratings
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RT101: 2015 Ratings. 7/15/2015. Objectives. A few norms for this session. No technology required during this session, though feel free to take notes however you are most comfortable Please feel free to ask questions as they come up

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RT101: 2015 Ratings

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Rt101 2015 ratings

RT101: 2015 Ratings

7/15/2015


Objectives

Objectives


A few norms for this session

A few norms for this session

  • No technology required during this session, though feel free to take notes however you are most comfortable

  • Please feel free to ask questions as they come up

  • Stay engaged! And draw connections between this session and the Selection Model section


Context prospect prioritization stems from our rt charge

Context: prospect prioritization stems from our RT charge

  • Our RT Charge calls us to recruit a diverse, high quality corps to meet regional need for corps members

  • Given our capacity and budget, we need a system that helps us focus on the “right” prospects out of more than 260,000 prospects currently in TFACT (imagine if we had no system…)

  • Our ratings system is designed to be one of the key tools to help focus and tailor our approach to recruiting


The recruitment team uses the selection model as a tool to strategize

The recruitment team uses the selection model as a tool to strategize

Familiarity with selection model

Strategy!!!

Campus/Sector Context

Lots of other things…


Thought experiment how should we approach prioritizing prospects what s important

Thought experiment: how should we approach prioritizing prospects? What’s important?


We prioritize prospects broadly along two areas

We prioritize prospects broadly along two areas


Each area has its own approach

Each area has its own approach

Approach: fully source a diverse prospect pool and tailor the recruiting approach appropriately

Approach:build a system that objectively categorizes (rates) prospects by their likelihood of admission


Each area has its own approach1

Each area has its own approach

Approach:fully source a diverse prospect pool and tailor the recruiting approach appropriately

Approach: build a system that objectively categorizes (rates) prospects by their likelihood of admission

Today is focused on the ratings system to prioritize prospects based on admission


Let s start with a description of what ratings are and are not

Let’s start with a description of what ratings are and are not

  • Ratings are…

  • A system to help objectively understand the admit probability of an individual prospect

  • Based on information collected during the recruitment stage

  • One of many tools (including understanding your landscape) to help prioritize your pipeline

  • Especially helpful when we have limited additional information on a prospect

  • Ratings are not...

  • A value judgment of an individual prospect’s worth

  • Deterministic / fate (i.e., they are based only on what’s measureable at the recruiting stage; as well, they are probabilistic)

  • The only tool that helps to prioritize prospects; we should apply our additional knowledge and context when deciding on a recruitment approach


Ratings are expressed on a 1 10 scale where each number represents a probability range

Ratings are expressed on a 1-10 scale, where each number represents a probability range

Probability of Admission by Rating

A Brief Note on Probability

  • Probabilities help us reduce the amount of uncertainty about some event happening; in this case, the event is whether a prospect will be admitted

  • “Probability” in this context specifically means “on average, candidates with profile X are admitted at a Y% probability

  • Many prospects rated 1 will be admitted; as well, many prospects rated 10 will not get in; that said, on average and in aggregate, prospects rated 1 will be admitted at lower probabilities than prospects rated higher than 1

  • These probabilities are calculated using a regression analysis based on last year’s admissions data


Ratings look like this in tfact

Ratings look like this in TFACT

Here’s the rating!


Ratings are built off of data collected and scored at various points in the recruitment continuum

Ratings are built off of data collected and scored at various points in the recruitment continuum

Let’s zoom in on the first three data points


Leadership is assessed by recruiters using the below rubric campus only

Leadership is assessed by recruiters using the below rubric (Campus only)


Let s take a quick crack at rating leadership

Let’s take a quick crack at rating leadership

Trudy Tenacious

Extraordinary Significance

  • Orientation Assistant for New Student Orientation

  • 3.5 GPA in Economics

  • Resident Assistant in Stanton Hall

Significant Significance

Moderate Significance

Minor Significance

Non-Leadership


Answer moderate significance

Answer: Moderate Significance

You are correct! Trudy holds two moderate leadership positions depending on the selectivity of the Orientation Assistant role (but the RA role almost always indicates moderate leadership). Even though there are two roles, we still only use the most selective one to calculate leadership.


Let s try one more last one i promise

Let’s try one more! (Last one, I promise)

Extraordinary Significance

Neil Nefarious

  • Assistant HS varsity softball coach

  • Lab technician

  • Writing a thesis in government at Cal Poly

Significant Significance

Moderate Significance

Minor Significance

Non-Leadership


Answer minor significance

Answer: Minor Significance

You are exactly right! Neil’s leadership is a minor, less selective role on campus.


Fit is assessed during the prospect meeting gpa from both sourcing and prospect meeting

FIT is assessed during the prospect meeting; GPA from both sourcing and prospect meeting

Ratings change and become more accurate the more data we have on a prospect


Finally remember the selection model competencies

Finally, remember the selection model competencies?

Achievement Orientation

Demonstrated Skills

Relationship Building

Fit


The ratings model is a proxy for these competencies based on available data

The ratings model is a proxy for these competencies* based on available data

GPA

LEAD

Achievement Orientation

Demonstrated Skills

FIT

Relationship Building

Fit

*Important notes: the PRT also uses prospect type and school in its prioritization algorithm. While these are not direct proxies for selection competencies, they are useful information for predicting probability of admission; this is helpful for PRT prioritization because MPRs manage more heterogeneous prospect pools than RMs


We use and assess ratings on the rt at multiple places along the recruitment continuum

We use and assess ratings on the RT at multiple places along the recruitment continuum

You will learn a lot more about the specifics of above in future sessions


Let s recap our objectives

Let’s recap our objectives

Ratings are an automated system on a 1-10 scale that helps prioritize prospects for Outreach/Cultivation by predicting probability of admission

Ratings are a proxy for the selection model because the components used for rating approximate many of our selection competencies


Questions

Questions?


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