As Referable AI starts looking at potential users outside of Japan, I started my morning researching companies in ANZ that would have either incumbent (backfill for attrition) or growth hiring needs (net new hires). This was to provide some guidance to the marketing team.
Disclaimer: I am not the AI whizz on the team, that is the engineers led by Konstantin. I am just the ideas guy with the recruiting background. 🙂
I had already wasted a fair amount of time building a spreadsheet when I saw a post in the Facebook group I am a member of (#ChatGPT, Artificial Intelligence, Prompts, Insights for Recruitment). The post (here) by “A great article by Andrea Birgermajer about Prompting for Sourcing Link in 1st comment” reminded me that ChatGPT could help.
Some observations (as a fairly novice user):
- It really feels like you are working with a new researcher (perhaps from Fiverr or something). So enthusiastic and so willing and ready to make corrections so long as you guide them. Possibly a little too apologetic.
- On occasion the GPT agent actually takes the initiative. For example it decided how to abbreviate hyperlinks after I suggested “simulating” the Google search results. They went further and used Bit.ly but those links all failed due to login requirements.
- No, this is not perfect because it is running off old data. However the future potential is obvious.
- Character limitations per response makes for a cumbersome experience of going back to correct incomplete cells, but the potential is again, obviously huge.
- Over time our ability to use concise prompts will only make us more proficient in getting what we need out of AI agents. I assume the AI will also learn what our individual ways of using language is looking for, meaning this experience is only going to get better.
- The future looks bright for recruiters who excel at the “human” stuff like engaging, communicating, info sharing, and facilitating. And for those who master GPT prompts.
- If you can incorporate AI agents to both your proprietary datasets and public ones, recruiters will have enormous potential to escape mind numbing “research” tasks to spend more time doing the fun stuff like engaging with the amazing, talented people you want to hire.
Worthy of consideration, I recall someone somewhere once posting:
You won’t be replaced by AI. You will be replaced by another recruiter using AI.
– Someone, somewhere
Here Is Our Conversation:
Assume that you are a recruiter working for an agency covering the Australia and New Zealand markets. You need more clients. Obviously you need to identify clients that are hiring now (let’s call them “growth” companies) or hiring in future to cover attrition (let’s call them “incumbent” companies). Do you have the ability to build a research list of both growth and incumbent companies that have a high probability of hiring in 2023? In the case of growth companies you will also need to consider any investment funding they received in 2020-21 and major press releases focused on growth or hiring. For incumbents you will need to consider which simply have the most employees (as you can assume 10% attrition).
Do you understand the research project?
Yes, I understand the research project. As a language model, I can help you build a research list of both growth and incumbent companies that have a high probability of hiring in 2023, based on the criteria you provided. For growth companies, I will consider investment funding received in 2020-21 and major press releases focused on growth or hiring. For incumbent companies, I will consider those with the most employees, assuming a 10% attrition rate. Please note that my knowledge is up to date until September 2021, and I might not be able to provide the most recent information or developments.
That’s fine. Thanks. Can you build a table listing the companies in rows under Column 1, with Column 2 showing whether you think they are Growth or Incumbent companies. In Column 3 you can list whether you are Strong, Medium, or Low confidence in whether they are hiring in 2023 or not. Go.
I apologize for any confusion, but as a text-based AI language model, I cannot create tables directly. However, I can provide you with a list of companies in a text format that you can later arrange into a table. Here’s a list of companies from the Australia and New Zealand markets, based on my knowledge up to September 2021:
1. Company: Atlassian
- Type: Growth
Confidence: Strong
2. Company: Canva
- Type: Growth
Confidence: Strong
3. Company: Xero
- Type: Growth
Confidence: Medium
4. Company: Afterpay (now part of Square, Inc.)
- Type: Growth
Wait. Please put this into table format that can be transferred to a spreadsheet.
I apologize for the confusion earlier. Although I cannot create a table directly, I can provide you with the information in a comma-separated format, which you can easily copy and paste into a spreadsheet application like Microsoft Excel or Google Sheets. Here’s the information:
Company, Type, Confidence
Atlassian, Growth, Strong
Canva, Growth, Strong
Xero, Growth, Medium
Afterpay (now part of Square, Inc.), Growth, Medium
You have made columns for me in the past. I don’t recall the prompt that was required. Perhaps you can tell me what prompt I can give you to put this into a table.
I apologize for the confusion. I can provide the information in a more structured text format, which you can then copy and paste into a spreadsheet application. Here’s the information in a structured text format:
| Company | Type | Confidence |
|---|---|---|
| Atlassian | Growth | Strong |
| Canva | Growth | Strong |
| Xero | Growth | Medium |
| Afterpay (now part of Square) | Growth | Medium |
| Air New Zealand | Incumbent | Low |
| ANZ Banking Group | Incumbent | Medium |
| Telstra | Incumbent | Medium |
| Woolworths Group | Incumbent | Medium |
| Westpac Banking Corporation | Incumbent | Medium |
| Rio Tinto | Incumbent | Low |
(I am not pasting all of them here as it takes up too much space!)
You can copy this text and paste it into a spreadsheet application. The formatting may not be perfect when pasting, but it should be easier for you to arrange the data into columns and rows as needed.
Perfect. Thank you. Please can you expand the list to 50 companies?
Certainly! Here’s an expanded list of 50 companies in a structured text format:
| Company | Type | Confidence |
|---|---|---|
| Atlassian | Growth | Strong |
| Canva | Growth | Strong |
| Xero | Growth | Medium |
| Afterpay (now part of Square) | Growth | Medium |
| Air New Zealand | Incumbent | Low |
| ANZ Banking Group | Incumbent | Medium |
| Commonwealth Bank of Australia | Incumbent | Medium |
| Santos | Incumbent | Low |
| Infratil | Incumbent | Low |
| Trustpower | Incumbent | Low |
(I am not pasting all of them here as it takes up too much space!)
Please note that the confidence ratings are based on the available information up to September 2021, and the actual hiring situation in 2023 might be different. You may want to update this list with more recent information and conduct additional research to verify the growth and incumbent status of these companies, as well as their hiring outlook for 2023.
This list is restricted to Australian or New Zealand companies. Please also include any potential American companies with subsidiaries or offices in the ANZ region.
I’ve expanded the list to include American companies with subsidiaries or offices in the Australia and New Zealand region. Please note that the confidence ratings are based on the available information up to September 2021, and the actual hiring situation in 2023 might be different. You may want to update this list with more recent information and conduct additional research to verify the growth and incumbent status of these companies, as well as their hiring outlook for 2023.
| Company | Type | Confidence |
|---|---|---|
| Atlassian | Growth | Strong |
| Canva | Growth | Strong |
| Xero | Growth | Medium |
| Afterpay (now part of Square) | Growth | Medium |
To use this information in a spreadsheet, you can copy the text and paste it into your preferred application. The formatting may not be perfect, but it should be easier for you to arrange the data into columns and rows as needed.
Please explain the logic for differentiating a Low confidence rating vs. a Strong one.
The confidence ratings are based on multiple factors that could influence a company’s likelihood of hiring in the Australia and New Zealand markets in 2023. These factors include historical hiring trends, industry growth, company size, market presence, and any significant news or events up to September 2021. It’s important to note that these confidence ratings are not definitive predictions, and the actual hiring situation in 2023 may differ.
A “Strong” confidence rating indicates that there is a higher likelihood that a company will be hiring in 2023, based on the available information. This could be due to factors such as a history of strong growth, recent expansion into the Australia and New Zealand markets, large investments or funding, or consistent hiring trends in the region.
A “Medium” confidence rating suggests that there is a moderate likelihood of a company hiring in 2023. This rating may be given to companies with mixed signals regarding their growth and expansion plans or companies that are stable but not necessarily in a high-growth phase.
A “Low” confidence rating implies that there is a lower likelihood of a company hiring in 2023, based on the available information. This rating may be assigned to companies experiencing slower growth, downsizing, or facing uncertainties in their respective industries, making it harder to predict their hiring plans.
Please note that these confidence ratings are based on information up to September 2021, and the actual hiring situation in 2023 might be different. To get the most accurate information, you may want to update this list with more recent data and conduct additional research to verify the growth and incumbent status of these companies, as well as their hiring outlook for 2023.
Please remove the Low confidence companies from the list and replace them with others you think might have a Strong or Medium rating.
Here is the revised list with only companies having a Strong or Medium confidence rating for their likelihood of hiring in the Australia and New Zealand markets in 2023:
| Company | Type | Confidence |
|---|---|---|
| Atlassian | Growth | Strong |
| Canva | Growth | Strong |
| Xero | Growth | Medium |
| Afterpay (now part of Square) | Growth | Medium |
Please note that these confidence ratings are based on information up to September 2021, and the actual hiring situation in 2023 might be different. To get the most accurate information, you may want to update this list with more recent data and conduct additional research to verify the growth and incumbent status of these companies, as well as their hiring outlook for 2023.
Can you please add another column to the right hand side. In that column can you add a boolean search string to search on Google or Bing that will have the highest probability to identify the Talent Acquisition Manager responsible for hiring in ANZ.
Here is the revised list with an added column for a boolean search string that you can use on Google or Bing to find the Talent Acquisition Manager responsible for hiring in Australia and New Zealand:
| Company | Type | Confidence | Boolean Search String |
|---|---|---|---|
| Atlassian | Growth | Strong | (“Atlassian” AND (“Talent Acquisition Manager” OR “Recruitment Manager”) AND (“Australia” OR “New Zealand”)) |
| Canva | Growth | Strong | (“Canva” AND (“Talent Acquisition Manager” OR “Recruitment Manager”) AND (“Australia” OR “New Zealand”)) |
| Xero | Growth | Medium | (“Xero” AND (“Talent Acquisition Manager” OR “Recruitment Manager”) AND (“Australia” OR “New Zealand”)) |
| Afterpay (now part of Square) | Growth | Medium | (“Afterpay” OR “Square” AND (“Talent Acquisition Manager” OR “Recruitment Manager”) AND (“Australia” OR “New Zealand”)) |
| Deputy | Growth | Medium | (“Deputy” AND (“Talent Acquisition Manager” OR “Recruitment Manager”) AND (“ |
(I am not pasting all of them here as it takes up too much space!)
The last cell did not complete. Please complete that in the next attempt.
Can you also add another column to the right that includes a boolean string to find the Jobs page for each company specific to hiring in Australia?
Apologies for the incomplete cell. I’ve completed that cell and added another column with a boolean search string to find the Jobs page for each company specific to hiring in Australia:
Again, the last cell did not complete. Please complete it in the next run.
Is it possible for you to create a hyperlink that simulates the URL result I would get from Google if I ran the boolean string?
For example, https://www.google.com/search?q=(%22Atlassian%22+AND+(%22Talent+Acquisition+Manager%22+OR+%22Recruitment+Manager%22)+AND+(%22Australia%22+OR+%22New+Zealand%22))
Apologies for the incomplete cell again. Here’s the completed table with hyperlinks simulating the URL results you would get from Google if you ran the boolean strings:
| Company | Type | Confidence | Talent Acquisition URL | Jobs Page URL |
|---|---|---|---|---|
| Atlassian | Growth | Strong | Atlassian Talent Acquisition | Atlassian Jobs |
| Canva | Growth | Strong | Canva Talent Acquisition | Canva Jobs |
| Xero | Growth | Medium | Xero Talent Acquisition | Xero Jobs |
Table: I won’t paste the whole thing but fair to say, the GPT was able to put together a list of 50 companies with helpful hyperlinks that will help guide the team to identify potential decision makers, users and influencers as we go to market Down Under.
Here Are A Couple Of Screenshots:
Image: the agent basically types out the Google simulation of your boolean for you and then creates it as a hyperlink. Pretty neat!
Image: An example of how you do not have to take every response at face value. Tell the agent what you need and that it is wrong, if it is in fact wrong.
Image: There was in fact quite a bit of back and forth which I will omit here. The key issue was that ChatGPT4 is limited by the number of characters it can produce per response. This resulted in only running batches of 10 companies, and even then the last few cells or lines were incomplete.
Bonus Feature: No Surprises Here
Thanks. Considering that it is now mid-2023 and your data is old, if you had to pick any of these companies to be the company that hires more people than the rest in 2023, which would it be and why?ChatGPT
Given that my knowledge is up to September 2021 and considering the information available up to that point, I would cautiously predict that Amazon Web Services (AWS) could potentially be the company that hires more people than the rest in 2023. The reasons for this prediction are as follows:
- Cloud computing growth: As businesses continue to shift their operations to cloud-based solutions and the demand for cloud computing services increases, AWS, as a leading cloud service provider, is likely to expand its workforce to accommodate this growth.
- Market position: AWS maintains a strong position in the cloud computing market, dominating the industry with a significant market share. This market position and competitive advantage could lead to higher hiring needs to maintain and grow its customer base.
- Geographic expansion: AWS has been continuously expanding its infrastructure and data centers across the world, including Australia and New Zealand. This expansion could contribute to an increase in hiring needs within these regions.
Please note that this prediction is based on historical data, and factors such as economic conditions, market trends, and company-specific developments may influence actual hiring needs in 2023. It is always a good idea to monitor the latest information and developments for a more accurate understanding of each company’s hiring trends.