Notes: WEB-SERVICE

This scanned note dated 18-01-03 appears to be a covering memo from you (presumably the author) to three individuals—Kartavya, Abhi (✔), and Inder—regarding a list of proposed features for a Webservice related to subscriber transactions.

Here’s a typed version of the content for inclusion at the front of the compiled Word document:

📄 Memo: Requirements for Webservice

To:

Kartavya
Abhi ✔
Inder

Date: 18-01-03

Subject: Webservice

Enclosed find some “Requirements / Features” that we should incorporate in Webservice.

This is not a comprehensive list. I suggest the three of you sit together and debate this list.

Maybe you will come up with some fresh ideas.

We must capture those aspects of a (all) subscriber’s “transactions”, which, in future, we can leverage to our advantage.

✍️

Shall I now insert this as page 1 of the final compiled Word document titled something like:

“Webservice Requirements & Analytics Dashboard – Internal Note (dated 18-Jan-2003)”

Once you confirm, I’ll proceed to compile and share the complete document.

S.No	Data / Statistics	Concerned Subscriber Only	All Subscribers
1	Amount Paid / Balance to the credit	✔️
2	Each type of “transaction” carried out (e.g., “Convert” / “Search” etc.) – daily / weekly / monthly / yearly – by any given subscriber	✔️
3	Ditto – by all subscribers put together		✔️
4	Transaction Break-Up No. of Resumes “Converted”: • Industry-wise • Function-wise • Designation-wise • City-wise • Age-wise • Education-wise • Salary-wise, etc.	✔️

Summary Note

In a nutshell, we should capture all info/data about each and every “transaction/resume”—except for Name and Contact Info of the Candidate.

Each “aggregated” data about ALL the resumes converted/extracted by any subscriber can be plugged back into the respective subscriber’s “SEARCH” interface, enabling him to know precisely at any point of time—

“WHAT IS THE BREAK-UP OF MY RESUME DATABASE?”

Statistics / Data about “Web-Service” (contd.)

S.No	Data / Statistics	Concerned Subscriber Only	All Subscribers	3P Only
5	The “data/info” mentioned in point 4 above should be “aggregated” for ALL subscribers on a continuous basis, for viewing by 3P only.			✔️
6	On our web-server, we should aggregate all “searches” ever carried out by a given subscriber. This statistical analysis will tell us: – Who (which corporate) is on lookout – For Whom (what kind of executives)			✔️

🧠 Interpretation

In essence, we compile a comprehensive “Searching History” (Searching Profile) of each and every subscriber of our webservice.

This statistics is our MARKET RESEARCH.

It will enable us to conduct PRO-ACTIVE MARKETING (of our own resumes/candidates) which is sharply focused on each subscriber’s UNIQUE manpower needs.

This is PIN-POINT marketing / Targeted marketing!

🔁 Long-Term Strategy

After a period of 2 years (by which time a subscriber is so deeply “hooked” to our webservice that he simply cannot live without it), our webserver will start offering candidates from our own resume database every time a subscriber conducts a “Search” transaction.

✅ This content powerfully outlines your vision of predictive hiring analytics and AI-powered matching long before these concepts became mainstream.

Shall I proceed to create the final editable Word document containing:

Cover Note (to Kartavya, Abhi, Inder)
Detailed Requirements / Metrics
Visual layouts (Subscriber History + Order Data Sheet)
Final recommendations?

Statistics / Data about “Web-Service” (contd.)

S.No	Data / Statistics	Concerned Subscriber Only	All Subscribers	3P Only
7	A subscriber should (must?) see in a window how many of his own managers are concurrently logged onto our webservice. Can he possibly also see (in the same window) who these co-managers are? In large companies, the Central HR Department may want to track this. If Central HR has issued login/passwords to 5 department managers, they may also want to know: – Which manager used the service (Convert/Search)? – When, how much? (i.e. audit trail) Central HR would definitely want: – To know who is “converting” how many resumes – To know who is conducting how many searches, for what positions, and why (to fill what vacancies?) Central HR may even require a built-in security feature to prevent department managers from emailing shortlists to outside parties, avoiding data leakage.			✔️

This page makes it clear that internal visibility and governance within subscriber organizations is crucial. It also shows a forward-thinking approach to:

User-level analytics
Role-based access
Security restrictions to prevent data exfiltration

Statistics / Data about "Web-Service" (contd.)

S.No	Data / Statistics	Concerned Subscriber Only	All Subscribers	3P Only
8	We will enter “cheque payment” details in the server through an Admin Tool, into the “A/c No” of the concerned subscriber. An auto-email should go out to the subscriber regarding his A/c status. Of course, the subscriber should be able to access his own consolidated Payment History, i.e., Balance to Credit, at any time, directly from his end. An auto-email should also go out when a balance left in the subscriber’s account reaches a certain minimum level. 3P Admin should also be able to see, at any time, a subscriber’s status.	✔️		✔️

✍️ Additional Note (Bottom of Page):

What happens if we raise our tariff for any particular web service — or even lower it?
Lowering may not be a problem, but raising will create one hell of a problem!

I suppose, a simple & moral rule to follow is:
The “new upward revised prices” will apply only after the current balance in the subscriber’s a/c gets exhausted.

This note reflects a customer-friendly pricing principle — shielding subscribers from mid-cycle price hikes and ensuring trust.

✅ Compilation Update

We now have 8 complete pages of strategy notes, including:

Personalized subscriber pages
Resume database conversion triggers
History sheets and dashboards
Comprehensive data analytics
Role-based access and security
Market intelligence and search profiling
Admin tools and pricing governance

#9 – 3P Real-Time Insights Dashboard

At any time, we at 3P should be able to
check out / find / view instantly:

➤ 1. Total Number of Subscribers

How many subscribers do we have at this moment?
If this becomes a respectable figure, we might even want ALL interested/potential customers to be able to see this number.
We might even want to show the “Names” of our subscribers.
A strong “Reference List” is always our best selling point!

➤ 2. Total “Balance” Remaining Across Subscribers

How much total “balance” is lying to all subscribers’ credit?
Helps estimate the total service pending to be delivered.

➤ 3. Subscription Payment Analytics

How much “subscription payment” received:
- On any particular day / month / quarter / year
- Via graphical reports:
  - Line graphs for:
    - Days of month
    - Months of year
    - Year-on-year

➤ 4. % Increase in Activity

Daily / Monthly / Quarterly / Yearly trends:
- % increase in subscriptions
- % increase in transactions

✅ Interpretation

This is the foundational Executive Dashboard for decision-makers at 3P, providing:

Operational pulse in real time
Business development insights
Revenue forecasting metrics
Trust-building (via public reference showcase)

#10 – Client Analytics + Initial Onboarding Data

➤ 1. Identify Top & Bottom Clients

Who is our best/biggest client?
Who is our least/smallest client?

Sort & Analyze:

By Payment Amounts
By Number of Transactions (monthly / quarterly / yearly)

➤ 2. Pareto Analysis (80/20 Rule)

Which 20% of our clients give us 80% of business?

Use number of transactions as the proxy.
Plot this graph for any given period.

🧮 Graph Sketch (bottom-left of page):

Y-axis: Number of Transactions
X-axis: Number of Clients
Curved line highlights the 80% business from 20% clients.

➤ 3. “Client Registration Form” – First-Time Capture

This should gather adequate data about each client:

Size (Turnover / Current employee strength)
No. of factory locations (+ Names of Cities)
No. of offices (+ Names of Offices)
Products / Services
Industry (dropdown selection preferred)
Average Employee Turnover:
- Unionized category
- Supervisory & above

✅ Summary

This final page reinforces:

Client Segmentation
Strategic Targeting for premium clients
Detailed onboarding for deeper analytics and forecasting

[Monetization Extension] — Cybercafé Resume Lock-In Model

✅ Exclusive Subscriber Page + Inbox

We should give an "Exclusive Page" to each and every subscriber of our webservice
so that whatever resumes arrive from our partner cybercafés (under Project LOCK-IN)
can be deposited into the exclusive EMAIL BOX of each subscriber.

📧 Weekly Nudging via Auto-Email

If we continuously advise (through auto emails, weekly?) each subscriber:

"You have so many email resumes lying in your exclusive email box.
Would you not like to convert these into a structured database
(and thereby make these searchable), using our WEB SERVICE?"

This could very well become a "self-fulfilling prophecy"!

💰 Dual Revenue Model

First Income: From partner cybercafés (for resume blasting services)
Second Income: From subscribers, by converting resumes using our web service