2025-05-08 TWINO Market Research WorkshopMetodePagaidu rezultāts Video no workshopUzvednes (Prompts)C1C2C3C4C4.1C5C7 C8C9Tabulu izgūšanas vaicājumu piemēri
Pārveidojam kritērijus informācijas svākšanas jautājumos (nevis vai APR lielāks par 30%, Find APR for each country
)
Precīzi norādam visu valstu sarakstu vaicājuma beigās
Atšifrējam iekāvās visus saīsinājumus
Pievienojam info most recent available data
Pievienojam visur non-bank lenders
, jo citādi miksē banku datus
Izmanotjam GPT o3 + Deep Research, palaižam fonā vairākus processus
Nokopējam linkus uz Deep Research C kritēriju meklēšanām un dokumentējam paalēli uzmanīgi dokumentā, lai vēlāk tiktu klāt šiem tiklīdz pabeigsies un paralēli nākamos meklējam
Pārbaudam iegūto rezultātu ticamību pret Poliju un Latviju
Kad dati savākti tad tajā paša sesijā ar GPT 4.5 veicam izgūšanu tabulas formā, var pieglabāt arī jēlos datus
Iekopējam kritērijus galvenajā tabulā, ja tiek kaut kas mainīts vai šķirots, tad spiežam edit vienu soli augstāk
Katru vaicājumu sēriju jaunā čatā sākam
Ranžējam kandidātus pēc kritēriju summas
Izvēlamies valsti
Līdzīgi rīkojamies Valsts ietvaros, lai atrastu labāko kandidātu.
Sākotnēji iegūtais ranžējuma fails pa valstīm (pagaidām 5 kritēriji un 2 tika atmesti analizējot jautājumus, jo tie bija vienādi visām valstīm)
https://docs.google.com/spreadsheets/d/1zimgUP-B3Ui19Tan9RN0uhF3ulWcOBZK8OAdxeVj60M/edit?usp=sharing
Kritērijus atzīmejam ar kādu kodu, piem C1, C2, .., lai pēc tam ērtāk operēt ar datiem
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281Find the maximum annual percentage rate APR (Annual Percentage Rate) for non-bank lenders in the following countries, unsecured consumer credit only, legal caps set by regulation and market APR:
2Austria
3Belgium
4Bulgaria
5Croatia
6Cyprus
7Czech Republic
8Denmark
9Estonia
10Finland
11France
12Germany
13Greece
14Hungary
15Ireland
16Italy
17Latvia
18Lithuania
19Luxembourg
20Malta
21Netherlands
22Poland
23Portugal
24Romania
25Slovakia
26Slovenia
27Spain
28Sweden
https://chatgpt.com/c/681cb065-94ac-800a-bdbc-a9494b27ef30
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281Find out how long the passporting procedure is in months for payment institutions for following countries:
2Austria
3Belgium
4Bulgaria
5Croatia
6Cyprus
7Czech Republic
8Denmark
9Estonia
10Finland
11France
12Germany
13Greece
14Hungary
15Ireland
16Italy
17Latvia
18Lithuania
19Luxembourg
20Malta
21Netherlands
22Poland
23Portugal
24Romania
25Slovakia
26Slovenia
27Spain
28Sweden
https://chatgpt.com/c/681cb156-fbe0-800a-959f-bf91c9616ca3
^ Likvidējām, jo visām valstīm 1-2 mēneši
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271Austria
2Belgium
3Bulgaria
4Croatia
5Cyprus
6Czech Republic
7Denmark
8Estonia
9Finland
10France
11Germany
12Greece
13Hungary
14Ireland
15Italy
16Latvia
17Lithuania
18Luxembourg
19Malta
20Netherlands
21Poland
22Portugal
23Romania
24Slovakia
25Slovenia
26Spain
27Sweden
https://chatgpt.com/c/681cb329-0b68-800a-8560-3e8b24e47e30
^ Likvidējām, jo visur atļauts
x1Find non-performing loan NPL (A non-performing loan is a loan where the borrower has not made the required payments-like monthly installments-for a certain period, 90 days or more<br />) percentage in market for follwing countries:
2Austria
3Belgium
4Bulgaria
5Croatia
6Cyprus
7Czech Republic
8Denmark
9Estonia
10Finland
11France
12Germany
13Greece
14Hungary
15Ireland
16Italy
17Latvia
18Lithuania
19Luxembourg
20Malta
21Netherlands
22Poland
23Portugal
24Romania
25Slovakia
26Slovenia
27Spain
28Sweden
https://chatgpt.com/c/681cb29e-c2c4-800a-ab5a-4ea3f48c7af4
x1Find non-performing loan NPL (A non-performing loan is a loan where the borrower has not made the required payments-like monthly installments-for a certain period, 90 days or more), for non-bank lender, most recent available data, percentage in market for follwing countries:
2Austria
3Belgium
4Bulgaria
5Croatia
6Cyprus
7Czech Republic
8Denmark
9Estonia
10Finland
11France
12Germany
13Greece
14Hungary
15Ireland
16Italy
17Latvia
18Lithuania
19Luxembourg
20Malta
21Netherlands
22Poland
23Portugal
24Romania
25Slovakia
26Slovenia
27Spain
28Sweden
https://chatgpt.com/c/681cb9b5-3b20-800a-bdd5-49392e49fb08
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281Find percentage of smartphone ownership in 18 – 55 age demographic in following countries:
2Austria
3Belgium
4Bulgaria
5Croatia
6Cyprus
7Czech Republic
8Denmark
9Estonia
10Finland
11France
12Germany
13Greece
14Hungary
15Ireland
16Italy
17Latvia
18Lithuania
19Luxembourg
20Malta
21Netherlands
22Poland
23Portugal
24Romania
25Slovakia
26Slovenia
27Spain
28Sweden
https://chatgpt.com/c/681b46da-26d0-800a-84ae-1fa627ede72d
x1Find payment transaction speed in minutes for domestic bank transactions, most recent available data, for countries:
2Austria
3Belgium
4Bulgaria
5Croatia
6Cyprus
7Czech Republic
8Denmark
9Estonia
10Finland
11France
12Germany
13Greece
14Hungary
15Ireland
16Italy
17Latvia
18Lithuania
19Luxembourg
20Malta
21Netherlands
22Poland
23Portugal
24Romania
25Slovakia
26Slovenia
27Spain
28Sweden
https://chatgpt.com/c/681cb51c-9678-800a-8a27-22f2bd4dc38c
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1281Find CAC (Client Acquisition Cost) and LTV (Lifetime Value) for non-bank lenders, in EUR, using the most recent available data for countries:
2Austria
3Belgium
4Bulgaria
5Croatia
6Cyprus
7Czech Republic
8Denmark
9Estonia
10Finland
11France
12Germany
13Greece
14Hungary
15Ireland
16Italy
17Latvia
18Lithuania
19Luxembourg
20Malta
21Netherlands
22Poland
23Portugal
24Romania
25Slovakia
26Slovenia
27Spain
28Sweden
https://chatgpt.com/c/681cb633-b4c4-800a-a44c-16c4fd128a29?model=gpt-4-5
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281Find market share of non-bank percentage of total consumer-credit volume, most recent available data, lenders in each country:
2Austria
3Belgium
4Bulgaria
5Croatia
6Cyprus
7Czech Republic
8Denmark
9Estonia
10Finland
11France
12Germany
13Greece
14Hungary
15Ireland
16Italy
17Latvia
18Lithuania
19Luxembourg
20Malta
21Netherlands
22Poland
23Portugal
24Romania
25Slovakia
26Slovenia
27Spain
28Sweden
https://chatgpt.com/c/681cbdde-1ba0-800a-bd7a-c68427abb693
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11Make Table with Columns: "Country", "Share Percentage"
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11Make table, Columns: Country, Column: NPL as scalar value
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11Calculate median NPL from table
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11Add column: C4, set value "1" if NPL above 2.5 else "0"
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11Download as CSV
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11Give table column Country; column Percentage where "percentage smartphone ownership in 18 – 55 age demographic"; column C5 where "1 if above 75% or more smartphone ownership in 18 – 55 age demographic" and "0 if below", for countries