Recruiting

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Data-Driven Recruiting (Part 1 – Networking)

Data-Driven Recruiting (Part 1 – Networking)

Data-Driven Recruiting (Part 1 – Networking)

An exploration of networking and consulting recruiting through student data, introducing the first part of the Data-Driven Recruiting series.

An exploration of networking and consulting recruiting through student data, introducing the first part of the Data-Driven Recruiting series.

An exploration of networking and consulting recruiting through student data, introducing the first part of the Data-Driven Recruiting series.

By Ian Glennon · Originally published July 1, 2018

We’re flooded with information on a daily basis. As consultants (or those recruiting to be consultants), we’re asked to handle and analyze vast amounts of information. However, while recruiting, how many of us actually pursue a data-driven approach to getting an interview? I know I didn’t. Despite all of the rumors, pieces of advice, and tactics floating around during recruiting, no one seems to know what actually works.

I’m incredibly excited to introduce a data-driven approach to recruiting in this multi-part article series, in partnership with NYU’s Stern School of Business. My ultimate goal with these articles is to provide you with data-based evidence to optimize your recruiting efforts.

The data were gathered from multiple NYU Stern student and recruiting databases and supported by a survey sent to all consulting students (completed at about a 50% rate). The data and survey results span two years, ten major consulting firms, and include 1,500 records representing the recruiting efforts of 219 students.

It’s important to clarify that all findings may be correlation, not causation. Some results may not be reproducible due to biases in the sample, changes year-on-year, etc. Additionally, I will not be disclosing specific company information. However, I hope to at least better guide your recruiting efforts with this series of posts.

Finding #1 – More Contacts Mean More Interview Invitations

It’s common knowledge that networking is important. But do the data support this view? For summer internship recruiting in consulting, the answer is “yes”.

The figure below shows how students fared in receiving summer internship interview offers based on the number of company contacts they had. By company contacts, I mean how many people they connected with at the company. A good proxy for this is the number of thank you emails they sent.

Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachInterview invitation rate · number of company contacts. 0: 22%; n = 143. 1–2: 37%; n = 368. 3–4: 52%; n = 333. 5–6: 74%; n = 174. 7–8: 64%; n = 59. 9–10: 77%; n = 13. 10+: 82%; n = 39. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.CUSTOM CASE COACHInterview invitations by company touchpointsInterview invitation rate · number of company contacts0%25%50%75%100%0n = 143≈22%1–2n = 368≈37%3–4n = 333≈52%5–6n = 174≈74%7–8n = 59≈64%9–10n = 13≈77%10+n = 39≈82%Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 0: 22%; n = 143
  • 1–2: 37%; n = 368
  • 3–4: 52%; n = 333
  • 5–6: 74%; n = 174
  • 7–8: 64%; n = 59
  • 9–10: 77%; n = 13
  • 10+: 82%; n = 39
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachInterview invitation rate · number of company contacts. 0: 22%; n = 143. 1–2: 37%; n = 368. 3–4: 52%; n = 333. 5–6: 74%; n = 174. 7–8: 64%; n = 59. 9–10: 77%; n = 13. 10+: 82%; n = 39. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.CUSTOM CASE COACHInterview invitations by company touchpointsInterview invitation rate · number of company contacts0%25%50%75%100%0n = 143≈22%1–2n = 368≈37%3–4n = 333≈52%5–6n = 174≈74%7–8n = 59≈64%9–10n = 13≈77%10+n = 39≈82%Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 0: 22%; n = 143
  • 1–2: 37%; n = 368
  • 3–4: 52%; n = 333
  • 5–6: 74%; n = 174
  • 7–8: 64%; n = 59
  • 9–10: 77%; n = 13
  • 10+: 82%; n = 39
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachInterview invitation rate · number of company contacts. 0: 22%; n = 143. 1–2: 37%; n = 368. 3–4: 52%; n = 333. 5–6: 74%; n = 174. 7–8: 64%; n = 59. 9–10: 77%; n = 13. 10+: 82%; n = 39. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.CUSTOM CASE COACHInterview invitations by company touchpointsInterview invitation rate · number of company contacts0%25%50%75%100%0n = 143≈22%1–2n = 368≈37%3–4n = 333≈52%5–6n = 174≈74%7–8n = 59≈64%9–10n = 13≈77%10+n = 39≈82%Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 0: 22%; n = 143
  • 1–2: 37%; n = 368
  • 3–4: 52%; n = 333
  • 5–6: 74%; n = 174
  • 7–8: 64%; n = 59
  • 9–10: 77%; n = 13
  • 10+: 82%; n = 39

Chart 1 – Percentage of Interview Invitations Given by Number of Touchpoints in the Company.

Note: The n values beside each bar represent the number of records in that category. One record represents one student submitting an application to one company. For example, 368 applications were submitted where the student had 1-2 company contacts. In this case, 37% received an interview. A given student could be represented 10 times in this data set if they applied to ten separate companies.

Source: Stern Student Records and Student Survey.

Finding #2 – Every Company is High Touch

Most of you have read or heard that certain companies are more low touch or high touch. This can be in general, or specific to your school. However, the data show quite clearly that every company is high touch.

Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachInterview invitation rate by company contacts, across anonymous series. Series A: 27%, 29%, 48%, 83%, 78%, 80%. Series B: 13%, 14%, 43%, 41%, 25%, 60%. Series C: 7%, 28%, 40%, 70%, 67%, 75%. Series D: 67%, 50%, 50%, 78%, 67%, 100%. Series E: 31%, 66%, 95%, 86%, not reported, 100%. Series F: 50%, 37%, 74%, 67%, 100%, not reported. Series G: 14%, 35%, 56%, 33%, not reported, 100%. Series H: 12%, 34%, 46%, 74%, 38%, 80%. Series I: 19%, 53%, 67%, 88%, 67%, 100%. Series J: 28%, 40%, 29%, 86%, 100%, 100%. Series K: 27%, 39%, 55%, 70%, 68%, 80%. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied.CUSTOM CASE COACHNetworking across company seriesInterview invitation rate (%) · by company touchpoints01–23–45–67–89+Series A≈27≈29≈48≈83≈78≈80Series B≈13≈14≈43≈41≈25≈60Series C≈7≈28≈40≈70≈67≈75Series D≈67≈50≈50≈78≈67≈100Series E≈31≈66≈95≈86—≈100Series F≈50≈37≈74≈67≈100—Series G≈14≈35≈56≈33—≈100Series H≈12≈34≈46≈74≈38≈80Series I≈19≈53≈67≈88≈67≈100Series J≈28≈40≈29≈86≈100≈100Series K≈27≈39≈55≈70≈68≈80The original chart has eleven unnamed bar series. Series A–K retain their order; identities were not supplied. — means no visible bar, not a measured zero.Rates are approximate, digitized from the original chart. The underlying dataset was not supplied.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • Series A: [27, 29, 48, 83, 78, 80]
  • Series B: [13, 14, 43, 41, 25, 60]
  • Series C: [7, 28, 40, 70, 67, 75]
  • Series D: [67, 50, 50, 78, 67, 100]
  • Series E: [31, 66, 95, 86, None, 100]
  • Series F: [50, 37, 74, 67, 100, None]
  • Series G: [14, 35, 56, 33, None, 100]
  • Series H: [12, 34, 46, 74, 38, 80]
  • Series I: [19, 53, 67, 88, 67, 100]
  • Series J: [28, 40, 29, 86, 100, 100]
  • Series K: [27, 39, 55, 70, 68, 80]
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachInterview invitation rate by company contacts, across anonymous series. Series A: 27%, 29%, 48%, 83%, 78%, 80%. Series B: 13%, 14%, 43%, 41%, 25%, 60%. Series C: 7%, 28%, 40%, 70%, 67%, 75%. Series D: 67%, 50%, 50%, 78%, 67%, 100%. Series E: 31%, 66%, 95%, 86%, not reported, 100%. Series F: 50%, 37%, 74%, 67%, 100%, not reported. Series G: 14%, 35%, 56%, 33%, not reported, 100%. Series H: 12%, 34%, 46%, 74%, 38%, 80%. Series I: 19%, 53%, 67%, 88%, 67%, 100%. Series J: 28%, 40%, 29%, 86%, 100%, 100%. Series K: 27%, 39%, 55%, 70%, 68%, 80%. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied.CUSTOM CASE COACHNetworking across company seriesInterview invitation rate (%) · by company touchpoints01–23–45–67–89+Series A≈27≈29≈48≈83≈78≈80Series B≈13≈14≈43≈41≈25≈60Series C≈7≈28≈40≈70≈67≈75Series D≈67≈50≈50≈78≈67≈100Series E≈31≈66≈95≈86—≈100Series F≈50≈37≈74≈67≈100—Series G≈14≈35≈56≈33—≈100Series H≈12≈34≈46≈74≈38≈80Series I≈19≈53≈67≈88≈67≈100Series J≈28≈40≈29≈86≈100≈100Series K≈27≈39≈55≈70≈68≈80The original chart has eleven unnamed bar series. Series A–K retain their order; identities were not supplied. — means no visible bar, not a measured zero.Rates are approximate, digitized from the original chart. The underlying dataset was not supplied.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • Series A: [27, 29, 48, 83, 78, 80]
  • Series B: [13, 14, 43, 41, 25, 60]
  • Series C: [7, 28, 40, 70, 67, 75]
  • Series D: [67, 50, 50, 78, 67, 100]
  • Series E: [31, 66, 95, 86, None, 100]
  • Series F: [50, 37, 74, 67, 100, None]
  • Series G: [14, 35, 56, 33, None, 100]
  • Series H: [12, 34, 46, 74, 38, 80]
  • Series I: [19, 53, 67, 88, 67, 100]
  • Series J: [28, 40, 29, 86, 100, 100]
  • Series K: [27, 39, 55, 70, 68, 80]
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachInterview invitation rate by company contacts, across anonymous series. Series A: 27%, 29%, 48%, 83%, 78%, 80%. Series B: 13%, 14%, 43%, 41%, 25%, 60%. Series C: 7%, 28%, 40%, 70%, 67%, 75%. Series D: 67%, 50%, 50%, 78%, 67%, 100%. Series E: 31%, 66%, 95%, 86%, not reported, 100%. Series F: 50%, 37%, 74%, 67%, 100%, not reported. Series G: 14%, 35%, 56%, 33%, not reported, 100%. Series H: 12%, 34%, 46%, 74%, 38%, 80%. Series I: 19%, 53%, 67%, 88%, 67%, 100%. Series J: 28%, 40%, 29%, 86%, 100%, 100%. Series K: 27%, 39%, 55%, 70%, 68%, 80%. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied.CUSTOM CASE COACHNetworking across company seriesInterview invitation rate (%) · by company touchpoints01–23–45–67–89+Series A≈27≈29≈48≈83≈78≈80Series B≈13≈14≈43≈41≈25≈60Series C≈7≈28≈40≈70≈67≈75Series D≈67≈50≈50≈78≈67≈100Series E≈31≈66≈95≈86—≈100Series F≈50≈37≈74≈67≈100—Series G≈14≈35≈56≈33—≈100Series H≈12≈34≈46≈74≈38≈80Series I≈19≈53≈67≈88≈67≈100Series J≈28≈40≈29≈86≈100≈100Series K≈27≈39≈55≈70≈68≈80The original chart has eleven unnamed bar series. Series A–K retain their order; identities were not supplied. — means no visible bar, not a measured zero.Rates are approximate, digitized from the original chart. The underlying dataset was not supplied.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • Series A: [27, 29, 48, 83, 78, 80]
  • Series B: [13, 14, 43, 41, 25, 60]
  • Series C: [7, 28, 40, 70, 67, 75]
  • Series D: [67, 50, 50, 78, 67, 100]
  • Series E: [31, 66, 95, 86, None, 100]
  • Series F: [50, 37, 74, 67, 100, None]
  • Series G: [14, 35, 56, 33, None, 100]
  • Series H: [12, 34, 46, 74, 38, 80]
  • Series I: [19, 53, 67, 88, 67, 100]
  • Series J: [28, 40, 29, 86, 100, 100]
  • Series K: [27, 39, 55, 70, 68, 80]

Chart 2 – Relationship between Number of Touchpoints and Receiving an Interview.

Source: Stern Student Records and Student Survey.

Finding #3 – Contacts and Interview Performance Show Different Patterns

The data show a strong association between company contacts and interview invitations. They do not establish whether the contacts themselves cause the difference or whether other candidate characteristics contribute.

If we look at how students fared in advancing past the first round (either receiving an offer or advancing to a second round if there was one), we can see that there really is no relationship between the number of touchpoints and the likelihood of getting past the first round of interviews (see Chart 3 below).

Students with more company contacts were not consistently more likely to advance beyond the first round in this sample. This suggests that networking and interview performance may play different roles in recruiting, but it does not establish causation.

Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachNext-round advancement rate · number of company contacts. 0: 45%; n = 31. 1–2: 52%; n = 137. 3–4: 45%; n = 172. 5–6: 53%; n = 128. 7–8: 47%; n = 38. 9–10: 50%; n = 10. 10+: 56%; n = 32. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = interviewed applications in each group.CUSTOM CASE COACHAdvancing beyond the first interviewNext-round advancement rate · number of company contacts0%25%50%75%100%0n = 31≈45%1–2n = 137≈52%3–4n = 172≈45%5–6n = 128≈53%7–8n = 38≈47%9–10n = 10≈50%10+n = 32≈56%Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = interviewed applications in each group.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 0: 45%; n = 31
  • 1–2: 52%; n = 137
  • 3–4: 45%; n = 172
  • 5–6: 53%; n = 128
  • 7–8: 47%; n = 38
  • 9–10: 50%; n = 10
  • 10+: 56%; n = 32
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachNext-round advancement rate · number of company contacts. 0: 45%; n = 31. 1–2: 52%; n = 137. 3–4: 45%; n = 172. 5–6: 53%; n = 128. 7–8: 47%; n = 38. 9–10: 50%; n = 10. 10+: 56%; n = 32. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = interviewed applications in each group.CUSTOM CASE COACHAdvancing beyond the first interviewNext-round advancement rate · number of company contacts0%25%50%75%100%0n = 31≈45%1–2n = 137≈52%3–4n = 172≈45%5–6n = 128≈53%7–8n = 38≈47%9–10n = 10≈50%10+n = 32≈56%Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = interviewed applications in each group.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 0: 45%; n = 31
  • 1–2: 52%; n = 137
  • 3–4: 45%; n = 172
  • 5–6: 53%; n = 128
  • 7–8: 47%; n = 38
  • 9–10: 50%; n = 10
  • 10+: 56%; n = 32
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachNext-round advancement rate · number of company contacts. 0: 45%; n = 31. 1–2: 52%; n = 137. 3–4: 45%; n = 172. 5–6: 53%; n = 128. 7–8: 47%; n = 38. 9–10: 50%; n = 10. 10+: 56%; n = 32. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = interviewed applications in each group.CUSTOM CASE COACHAdvancing beyond the first interviewNext-round advancement rate · number of company contacts0%25%50%75%100%0n = 31≈45%1–2n = 137≈52%3–4n = 172≈45%5–6n = 128≈53%7–8n = 38≈47%9–10n = 10≈50%10+n = 32≈56%Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = interviewed applications in each group.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 0: 45%; n = 31
  • 1–2: 52%; n = 137
  • 3–4: 45%; n = 172
  • 5–6: 53%; n = 128
  • 7–8: 47%; n = 38
  • 9–10: 50%; n = 10
  • 10+: 56%; n = 32

Chart 3 – Relationship between Advancing to Next Round and Number of Touchpoints.

Source: Stern Student Records and Student Survey.

Finding #4 – Company-Sponsored Events Matter

You might also be wondering how important it is to attend company-sponsored coffee chats and informational sessions. The answer? Very important, as Chart 4 below shows.

Of course, the number of company-sponsored events that you attend is not independent of the number of touchpoints you have, but they are not pure substitutes either.

Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachInterview invitation rate · coffee chats and informationals. 0: 31%; n = 179. 1: 37%; n = 342. 2: 48%; n = 335. 3: 60%; n = 156. 4: 61%; n = 93. 5: 75%; n = 71. 6: 84%; n = 32. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.CUSTOM CASE COACHInterview invitations by events attendedInterview invitation rate · coffee chats and informationals0%25%50%75%100%0n = 179≈31%1n = 342≈37%2n = 335≈48%3n = 156≈60%4n = 93≈61%5n = 71≈75%6n = 32≈84%Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 0: 31%; n = 179
  • 1: 37%; n = 342
  • 2: 48%; n = 335
  • 3: 60%; n = 156
  • 4: 61%; n = 93
  • 5: 75%; n = 71
  • 6: 84%; n = 32
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachInterview invitation rate · coffee chats and informationals. 0: 31%; n = 179. 1: 37%; n = 342. 2: 48%; n = 335. 3: 60%; n = 156. 4: 61%; n = 93. 5: 75%; n = 71. 6: 84%; n = 32. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.CUSTOM CASE COACHInterview invitations by events attendedInterview invitation rate · coffee chats and informationals0%25%50%75%100%0n = 179≈31%1n = 342≈37%2n = 335≈48%3n = 156≈60%4n = 93≈61%5n = 71≈75%6n = 32≈84%Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 0: 31%; n = 179
  • 1: 37%; n = 342
  • 2: 48%; n = 335
  • 3: 60%; n = 156
  • 4: 61%; n = 93
  • 5: 75%; n = 71
  • 6: 84%; n = 32
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachInterview invitation rate · coffee chats and informationals. 0: 31%; n = 179. 1: 37%; n = 342. 2: 48%; n = 335. 3: 60%; n = 156. 4: 61%; n = 93. 5: 75%; n = 71. 6: 84%; n = 32. Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.CUSTOM CASE COACHInterview invitations by events attendedInterview invitation rate · coffee chats and informationals0%25%50%75%100%0n = 179≈31%1n = 342≈37%2n = 335≈48%3n = 156≈60%4n = 93≈61%5n = 71≈75%6n = 32≈84%Rates are approximate, digitized from the original chart. The underlying dataset was not supplied. n = applications in each group.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 0: 31%; n = 179
  • 1: 37%; n = 342
  • 2: 48%; n = 335
  • 3: 60%; n = 156
  • 4: 61%; n = 93
  • 5: 75%; n = 71
  • 6: 84%; n = 32

Chart 4 – Relationship between Interview Offer Rate and Number of Coffee Chats/Informationals.

Source: Stern Student Records and Student Survey.

Finding #5 – Contacts and Coffee Chats Are Very Important

Finally, in a Naïve Bayes regression predicting the likelihood of being interviewed, company contacts and coffee chats were ranked the 5th and 8th most important predictors, respectively, among 23 predictors. This, combined with the clear positive relationship between these indicators and interview chances, demonstrates the importance of networking.

Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachLogWorth and reported P-value for eight predictors. 1 · Undisclosed predictor: 14.581 LogWorth; p = 0.00000. 2 · Undisclosed predictor: 11.822 LogWorth; p = 0.00000. 3 · Undisclosed predictor: 11.373 LogWorth; p = 0.00000. 4 · Undisclosed predictor: 6.92 LogWorth; p = 0.00000. 5 · Company touchpoints: 5.534 LogWorth; p = 0.00000. 6 · Undisclosed predictor: 5.457 LogWorth; p = 0.00000. 7 · Undisclosed predictor: 5.329 LogWorth; p = 0.00000. 8 · Coffee chats / informationals: 5.286 LogWorth; p = 0.00001. Source reports: 1,260 valid observations; Naïve Bayes misclassification rate 0.259. LogWorth = −log₁₀(p-value), not effect size or predictive accuracy. Association does not establish causation.CUSTOM CASE COACHPredictors of an interview invitationPredictors of receiving an interview invitation1 · Undisclosed predictor14.581p = 0.000002 · Undisclosed predictor11.822p = 0.000003 · Undisclosed predictor11.373p = 0.000004 · Undisclosed predictor6.920p = 0.000005 · Company touchpoints5.534p = 0.000006 · Undisclosed predictor5.457p = 0.000007 · Undisclosed predictor5.329p = 0.000008 · Coffee chats / informationals5.286p = 0.00001Bar length = LogWorth (0–15). P-values are reproduced exactly as printed; 0.00000 is the source’s rounded display. Unnamed predictors were redacted in theoriginal.Source reports: 1,260 valid observations; Naïve Bayes misclassification rate 0.259. LogWorth = −log₁₀(p-value), not effect size or predictive accuracy.Association does not establish causation.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 1 · Undisclosed predictor: 14.581
  • 2 · Undisclosed predictor: 11.822
  • 3 · Undisclosed predictor: 11.373
  • 4 · Undisclosed predictor: 6.92
  • 5 · Company touchpoints: 5.534
  • 6 · Undisclosed predictor: 5.457
  • 7 · Undisclosed predictor: 5.329
  • 8 · Coffee chats / informationals: 5.286
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachLogWorth and reported P-value for eight predictors. 1 · Undisclosed predictor: 14.581 LogWorth; p = 0.00000. 2 · Undisclosed predictor: 11.822 LogWorth; p = 0.00000. 3 · Undisclosed predictor: 11.373 LogWorth; p = 0.00000. 4 · Undisclosed predictor: 6.92 LogWorth; p = 0.00000. 5 · Company touchpoints: 5.534 LogWorth; p = 0.00000. 6 · Undisclosed predictor: 5.457 LogWorth; p = 0.00000. 7 · Undisclosed predictor: 5.329 LogWorth; p = 0.00000. 8 · Coffee chats / informationals: 5.286 LogWorth; p = 0.00001. Source reports: 1,260 valid observations; Naïve Bayes misclassification rate 0.259. LogWorth = −log₁₀(p-value), not effect size or predictive accuracy. Association does not establish causation.CUSTOM CASE COACHPredictors of an interview invitationPredictors of receiving an interview invitation1 · Undisclosed predictor14.581p = 0.000002 · Undisclosed predictor11.822p = 0.000003 · Undisclosed predictor11.373p = 0.000004 · Undisclosed predictor6.920p = 0.000005 · Company touchpoints5.534p = 0.000006 · Undisclosed predictor5.457p = 0.000007 · Undisclosed predictor5.329p = 0.000008 · Coffee chats / informationals5.286p = 0.00001Bar length = LogWorth (0–15). P-values are reproduced exactly as printed; 0.00000 is the source’s rounded display. Unnamed predictors were redacted in theoriginal.Source reports: 1,260 valid observations; Naïve Bayes misclassification rate 0.259. LogWorth = −log₁₀(p-value), not effect size or predictive accuracy.Association does not establish causation.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 1 · Undisclosed predictor: 14.581
  • 2 · Undisclosed predictor: 11.822
  • 3 · Undisclosed predictor: 11.373
  • 4 · Undisclosed predictor: 6.92
  • 5 · Company touchpoints: 5.534
  • 6 · Undisclosed predictor: 5.457
  • 7 · Undisclosed predictor: 5.329
  • 8 · Coffee chats / informationals: 5.286
Data-Driven Recruiting (Part 1 – Networking) | Custom Case CoachLogWorth and reported P-value for eight predictors. 1 · Undisclosed predictor: 14.581 LogWorth; p = 0.00000. 2 · Undisclosed predictor: 11.822 LogWorth; p = 0.00000. 3 · Undisclosed predictor: 11.373 LogWorth; p = 0.00000. 4 · Undisclosed predictor: 6.92 LogWorth; p = 0.00000. 5 · Company touchpoints: 5.534 LogWorth; p = 0.00000. 6 · Undisclosed predictor: 5.457 LogWorth; p = 0.00000. 7 · Undisclosed predictor: 5.329 LogWorth; p = 0.00000. 8 · Coffee chats / informationals: 5.286 LogWorth; p = 0.00001. Source reports: 1,260 valid observations; Naïve Bayes misclassification rate 0.259. LogWorth = −log₁₀(p-value), not effect size or predictive accuracy. Association does not establish causation.CUSTOM CASE COACHPredictors of an interview invitationPredictors of receiving an interview invitation1 · Undisclosed predictor14.581p = 0.000002 · Undisclosed predictor11.822p = 0.000003 · Undisclosed predictor11.373p = 0.000004 · Undisclosed predictor6.920p = 0.000005 · Company touchpoints5.534p = 0.000006 · Undisclosed predictor5.457p = 0.000007 · Undisclosed predictor5.329p = 0.000008 · Coffee chats / informationals5.286p = 0.00001Bar length = LogWorth (0–15). P-values are reproduced exactly as printed; 0.00000 is the source’s rounded display. Unnamed predictors were redacted in theoriginal.Source reports: 1,260 valid observations; Naïve Bayes misclassification rate 0.259. LogWorth = −log₁₀(p-value), not effect size or predictive accuracy.Association does not establish causation.Source: Stern Student Records and Student Survey · Ian Glennon, 2018
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Source values

  • 1 · Undisclosed predictor: 14.581
  • 2 · Undisclosed predictor: 11.822
  • 3 · Undisclosed predictor: 11.373
  • 4 · Undisclosed predictor: 6.92
  • 5 · Company touchpoints: 5.534
  • 6 · Undisclosed predictor: 5.457
  • 7 · Undisclosed predictor: 5.329
  • 8 · Coffee chats / informationals: 5.286

Chart 5 – Predictors of Receiving an Interview Invitation.

Note: The source column represents the predictor variable. The dependent variable was “Offered Interview?” and the source reports a Naïve Bayes classification model. Misclassification rate was .259 with 1,260 total valid observations. Other regressions ranked touchpoints and coffee chats/informationals similarly (albeit not exactly).

Source: Stern Student Records and Student Survey.

LogWorth is the negative base-10 logarithm of the p-value. Larger LogWorth values correspond to smaller p-values; they do not measure effect size or establish causation. A p-value threshold of 0.05 is commonly used to flag statistical significance, but it is not a measure of predictive accuracy.

Conclusion: Network!

These are only suggestive results; they do not prove definitively that networking improves your odds. However, my analysis shows that increasing the number of contacts at a company is strongly positively correlated with obtaining an interview. Additionally, the data show that you should pursue this strategy for every company you’re interested in, not solely for those that you view as high touch.

Stay tuned for more data-driven recruiting insights!