Your Source of Information

Pro Decision-Making Made Easy - 3-Step Decision Framework to Prioritize Appropriate Decisions

2026-10-19T11:59:43.356+05:00

===================== ===================== OmniDecision Intelligence Suite | End-to-End Decision Pipeline

Strategic Decision Intelligence Suite

End-to-End Decision Pipeline

Filter ideas (RICE / Impact vs. Effort) → Weight criteria rigorously (AHP CR Calculator) → Evaluate final options (Decision Matrix).

Step 1: Idea Screening & Prioritization

Filter ideas before deep matrix evaluation using RICE or Impact vs. Effort.

0 Ideas in Backlog

Step 2: AHP Criteria Weighting & Consistency Check

Evaluate criteria pairwise using Saaty's 1-9 scale to generate objective weights (w_i).

Pairwise Comparisons (Saaty Scale)

Consistency Ratio Analysis

Principal Eigenvalue (λ_max) --

Consistency Index (CI) --

Random Index (RI) --

Consistency Ratio (CR) --

Calculated Criteria Priority Weights (w_i)

Step 3: Final Decision Matrix & Scoring

Score options (1-10) against weighted criteria to find the optimal decision.

Final Decision Results Overview

Visual Comparison Chart

Success

==================== ====================

Disclaimer & Terms of Use

1. Educational & Analytical Purpose Only

Academic Tooling: This application is designed solely for educational, academic, and analytical demonstration purposes.
No Professional Advice: The outputs generated by this suite (including RICE scores, AHP criteria weights, and Decision Matrix totals) do not constitute professional management, financial, legal, or strategic consulting advice.

2. User Responsibility & Decision Ownership

Decision Authority: Final operational, strategic, or business decisions remain entirely the responsibility of the user or organization.
Input Integrity: Results are strictly dependent on user-provided inputs, ratings, and pairwise comparison judgments ("garbage in, garbage out").

3. Data Privacy & Processing

Local Processing: All calculations are executed client-side in your web browser. No proprietary backlog data, internal feature lists, or sensitive organizational evaluations are saved or transmitted to external server databases.
Session Persistence: Data resets upon refreshing or clearing session storage unless explicitly exported as an Excel report by the user.

4. Intellectual Property & Methodologies

Open Methodologies: The mathematical frameworks used—including Saaty’s Analytic Hierarchy Process (AHP), RICE Scoring, and Multi-Criteria Decision Analysis (MCDA)—are established open-domain methodologies utilized here for educational implementation.
Software License: Provided "as-is" under standard open-source educational terms without warranties of any kind regarding accuracy or fitness for a specific commercial purpose.

What Should We Build Next? Use This Free RICE Calculator to Decide

2026-10-14T13:58:00.659+05:00

===================== RICE Prioritization Calculator

RICE Prioritization Calculator

Score and rank product backlog ideas & marketing initiatives.

Top Ranked Backlog

0 Ideas

The RICE Formula

(Reach × Impact × Confidence) ÷ Effort

Reach: Users impacted per quarter/month.
Impact: Value per user (0.5 to 5.0).
Confidence: Certainty percentage (20% to 100%).
Effort: Person-months required (min 0.25).

Automatically sorted by highest RICE score.

Detailed Backlog Matrix

Rank & Idea Name	Reach	Impact	Confidence	Effort	RICE Score	Actions

Action successful!

Stop Guessing: Use this Interactive Impact vs. Effort Matrix to Find Your Quick Wins and Make Better Decisions

2026-10-12T11:35:56.046+05:00

=========================== 2x2 Impact vs. Effort Matrix

Impact vs. Effort Matrix

Filter and prioritize options before deep evaluation.

High Impact

Low Impact

Effort

Major Projects High Impact • High Effort

Strategic initiatives. High reward, but require heavy planning.

PRIORITY

Quick Wins High Impact • Low Effort

Do these first! High return for minimal investment.

Thankless Tasks Low Impact • High Effort

Avoid or discard. Low return for heavy resource drain.

Fill-Ins Low Impact • Low Effort

Delegatable or do when time permits if bandwidth allows.

All Evaluated Options

0 Options

Option Name	Impact (1-10)	Effort (1-10)	Category	Actions

Action successful!

===========================

Excel Speedrunner — Build Muscle Memory for Lightning-Fast Spreadsheets

2026-10-07T14:07:27.016+05:00

====================== Excel & Power BI Shortcut Dojo

Shortcut Dojo

Master 65+ Excel, VBA & Power BI hotkeys

Total: 0 | Bookmarks: 0

Learning Module

Set 1 of 13 (Shortcuts 1 - 5)

Overall Mastery Level 1 / 13

Step 1: Study 5 Shortcuts

Memorize these 5 shortcuts before testing your physical keyboard muscle memory:

Shortcut updated!

=====================

In-Browser Image Processing & Diff Tool – Powered by OpenCV.js

2026-10-05T09:19:59.946+05:00

======================== OpenCV.js Image Processing & Comparison Suite

VisionLab Dual Wasm v4.x

OpenCV.js Image Filters & Advanced Comparison Suite

Loading OpenCV.js Wasm...

Image Sources

Click or Drag & Drop Main Image

Operation Pipeline

Select Processing Mode

No parameters required for selected operation.

Execution Speed 0.0 ms

Canvas Resolution 0 x 0

Original Input

Processed Filter

===================

The Analytic Hierarchy Process (AHP): Step 1 to the Perfect Decision Matrix for Better Decision Making

2026-10-02T16:07:17.846+05:00

============================ AHP Consistency Ratio (CR) Calculator & Decision Analysis Webapp

Analytic Hierarchy Process (AHP) Decision Engine

AHP Consistency Ratio (CR) Calculator

Validate mathematical rigor, calculate principal eigenvalue (λ_max), priority vector weights (w_i), consistency index (CI), and consistency ratio (CR).

1 Define Decision Criteria

Add between 2 to 10 criteria for pairwise matrix evaluation.

2 Pairwise Comparisons (Saaty 1–9 Scale)

Adjust relative importance sliders. Center (0) denotes equal priority (1:1).

3 AHP Consistency Analysis

Evaluates transitivity logic: if Criterion A > B and B > C, then A should > C.

Principal Eigenvalue (λ_max) --

Consistency Index (CI) --

Random Index (RI) --

Consistency Ratio (CR) --

Calculated Priority Vector (w_i) Weights

Relative weighting allocated to each decision criterion.

Action completed successfully!

============================================ ===============
Updated: 06/10/20206 Changes made: AHP Consistency Analysis added. Radar chart added. Comparison Matrix and Normalized Matrix are added.

Decision Matrix Webapp to help you make Better Decisions

2026-09-26T16:23:05.369+05:00

Decision Matrix Evaluator

Decision Matrix

Score options from 1-10 based on weighted criteria.

Results Overview

Visual Comparison

Digital Image Analysis using R-Project-based EBImage, randomForest, DT, and bslib - A Web app (R-Project-Shiny-based)

2026-09-22T20:26:16.369+05:00

This digital image analysis has been developed using R-Project (4.6.1), RStudio 2026.08.1 Build 195. It is made using packages, including shiny, EBImage, randomForest, DT, and bslib. NOTE: Try to remain SLOW with the change in metrics using sliders as it may take large time to process the image. If it takes long, allow it to settle and start working after sometime. KEEP THE IMAGE BELOW 500 x 500 pixels.

Powered by Allaire, J., Sievert, C., Dervieux, C., Xie, Y., McPherson, J., Allen, A., Wickham, H., Atkins, A., & Hyndman, R. (2024). bslib: Custom Bootstrap 'Sass' Themes for 'shiny' and 'rmarkdown' (R package version 0.8.0) [Computer software]. https://CRAN.R-project.org/package=bslib Breiman, L., Cutler, A., Liaw, A., & Wiener, M. (2022). randomForest: Breiman and Cutler's Random Forests for Classification and Regression (R package version 4.7-1.1) [Computer software]. https://CRAN.R-project.org/package=randomForest Chang, W., Cheng, J., Allaire, J., Sievert, C., Schloerke, B., Xie, Y., Allen, A., McPherson, J., Dipert, A., & Borges, B. (2024). shiny: Web Application Framework for R (R package version 1.9.1) [Computer software]. https://CRAN.R-project.org/package=shiny Pau, G., Fuchs, F., Sklyar, O., Boutros, M., & Huber, W. (2010). EBImage—an R package for image processing with applications to cellular phenotypes. Bioinformatics, 26(7), 979–981. https://doi.org/10.1093/bioinformatics/btq046 Xie, Y., Cheng, J., & Tan, X. (2024). DT: A Wrapper of the JavaScript Library 'DataTables' (R package version 0.33) [Computer software]. https://CRAN.R-project.org/package=DT Terms of Use and Disclaimer: This tool is for educational purposes only. The author assumes no liability for inaccuracies or decisions made based on this output. No data is stored on our servers. The Image Analysis Toolkit provided on this site is an open-source tool intended for exploratory image analysis. Users are encouraged to verify all results with primary software and experts before publication. The owner of JeePakistan.blogspot.com is not responsible for any research outcomes derived from this tool. ===========================

NOTE: Uploaded on 22/09/2026

Stroop Memory Test Challenge

2026-07-28T15:05:05.390+05:00

Interactive Stroop Test - Measure Your Cognitive Control

Stroop Test Challenge

The Stroop effect is a classic cognitive psychology phenomenon where the time it takes to name the color of a word is longer when the color of the text conflicts with the meaning of the word. For example, the word "RED" printed in blue ink requires more mental effort to identify correctly than a word printed in a matching color.

Test your cognitive control and reaction time. When you see a color word on the screen, ignore what the word says and click the button that matches the COLOR of the text itself. Good luck!

⚡ Select Speed

Save results to device

🎮 Start Game

Select your preferred speed above, then click Start to begin. Answer 10 questions!

👇 Click "Start Test" to begin

Question: 0/10

Score: 0

2.0s

Click the color button that matches the TEXT COLOR, not the word!

BLUE

Date	Speed	Score	Accuracy	Avg Time
No saved results yet

A mini game for Crisis Command, and leadership and decision-making trainer

2026-07-24T09:06:09.041+05:00

Crisis Command — Leadership Simulator

Leadership & Decision-Making Trainer

Crisis Command

A scenario-based simulator for practicing crisis response, conflict resolution and leadership judgment under time pressure. Every decision trades off between public trust, resources and team morale — exactly like the real thing.

How to play

Pick a role and difficulty below, then hit "Begin Simulation."
Crises arrive one at a time. Read the situation report and choose one of the response options before the countdown ring closes.
Each choice shifts three meters — Public Trust, Resources, Team Morale — shown live on the dashboard. There's rarely a free option: strengthening one often costs another.
Letting the timer run out counts as indecision and always costs you — in a real crisis, no decision is still a decision.
Survive all rounds with your meters above zero to complete the simulation. Your Leadership Score and decision log are tallied below the game as you play.

Role

Difficulty

Session length

Standing by—

Awaiting deployment

Configure your role and difficulty above, then begin the simulation to receive your first situation report.

Performance Statistics

Leadership Score

Decisions Made

Avg Response Time

0.0s

Crises Resolved

0 / 0

Sound Decisions

Timeouts

--:--Decision log will appear here once the simulation begins.

Letter Span Memory Test and Game

2026-07-24T08:21:46.010+05:00

Letter Span — a working memory test

Cognitive Span Test

Letter Span

What this measures. Letter span is a classic test of short‑term (working) memory. You'll see a string of letters flash one at a time, then have to type them back. Get it right and the string grows by one letter; get it wrong and the session ends, recording the longest string you handled — your span.

Forward vs. backward. Forward span asks for the letters in the order you saw them. Backward span asks for them in reverse order, which leans harder on manipulating information in your head, not just holding it — most people score noticeably lower on it.

Set your options below, then press Begin Session. Your results and history are kept at the bottom of the page.

1Settings

Mode

Type the letters in the order shown.

Start length

Letters in the first sequence (2–9).

Show speed

How long each letter stays on screen.

Exclude confusions

Excluding: I, L, O, Q, S, Z

2Test

Ready when you are Choose your settings above, then press Begin Session.

Press Enter to submit your answer. Letters are automatically capitalized.

3Stats & results

–

Best forward span

–

Best backward span

Sessions played

–

Overall accuracy

Current session ladder

No session in progress yet.

Session history

When	Mode	Start	Speed	A–Z set	Span reached	Trials
No sessions yet — your results will appear here.

Digit Span Memory Game

2026-07-22T10:57:46.764+05:00

Span // Digit Recall Instrument

SPAN // digit recall instrument

READY

Mode

Starting length

Speed

Pharmaceutical Chemistry 1A (Organic Chemistry 1) - Learning using Logical Flow and Spaced Repitition strategies

2026-07-21T14:23:38.024+05:00

Organic Chemistry I — Pharmaceutical Reaction Notebook

Organic Chemistry I — Reaction Notebook

Pharmaceutical Chemistry IA · adaptive learning map · spaced repetition (SM‑2)

Concept Map — Logical Chain

Not started

Learning

Mastered

Due for review

N-Back Trainer - Working memory / cognitive training

2026-07-21T07:13:52.084+05:00

N-Back Trainer

Working memory / cognitive training

N-Back Trainer

On every trial a square lights up on the grid (and, in audio modes, a letter is spoken). Your job: decide whether the current stimulus matches the one shown N steps back in the sequence. Press match as soon as you notice a repeat — scoring below tracks hits, misses, and false alarms in real time.

Setup

N-Level

Speed

Mode

Trials

Sound cues

Spoken letters on

TRIAL 0/20 N = 1 VISUAL

Session results

Run a session to see your hit rate, false alarms, and reaction time here.

Trial-by-trial trace

Hit Miss False alarm Correct rejection

Mastering some aspects of Islamic history timeline - Interactive learning

2026-06-23T15:06:23.615+05:00

Islamic History SRS Study Portal

Islamic World Historical Timeline

Spaced Repetition System (SM-2 Algorithm)

Era Loading...

Loading question card...

Cards Remaining in Session: 0	Current Card Interval: 0 days
Card Ease Factor (EF): 2.50	Total Repetitions: 0

Help yourself learn/memorize 50 terms from Krebs Cycle

2026-06-18T15:24:18.609+05:00

Citric Acid Cycle Spaced Repetition Flashcards

Krebs Cycle Mastery (SM2 Algorithm)

Loading items...

Rate your memory performance:

🎉 Session Complete!

Excellent work. All pending components have been optimized via the SM-2 engine. Check back tomorrow for your next scheduled interval review.

Some important features of this post are:

The SM-2 Spaced Repetition Engine: No more useless cramming. The built-in SuperMemo-2 algorithm tracks your memory strength and schedules your reviews at the exact mathematical moment you’re about to forget.
50 High-Yield Cloze Flashcards: Interactive, fill-in-the-blank prompts covering everything from irreversible checkpoints and cofactors (like TPP and biotin) to metabolic poisons (fluoroacetate and arsenite).
6-Tier Precision Grading: Rate your recall from 0 (Blank) to 5 (Perfect) to dynamically customize your learning curve.
Seamless Progress Tracking: Features a built-in progress bar and automated local storage, meaning it saves your exact algorithmic memory weights so you can pick right up tomorrow.

N.B.: Kindly inform in case of any errors or mistakes in this post.

Pediatric Renal Function and GFR Calculator - 12 Formulae

2026-06-18T13:35:45.330+05:00

eGFR (estimated glomerular filtration rate) is a standard measure of kidney function. The calculation determines how effectively your kidneys filter waste based on your age, gender, and blood creatinine levels. To diagnose Chronic Kidney Disease (CKD), doctors look for an eGFR that remains under 60 for a three-month period. For most people, a normal reading is 90 or above, but "normal" is relative and shifts with age and demographic traits.

Pediatric eGFR Comprehensive Database Calculator

Adjust the patient metrics below to see all 12 historical and modern pediatric equations compute simultaneously in real-time.

Age (Years)

Biological Sex

Height (cm)

Weight (kg)

Serum Creatinine (mg/dL)

Note: This calculator is for educational purpose. You may need to take expert advise regarding woking of your kidneys.

Pediatric Dosage Calculator - 10 Formulae

2026-05-19T12:25:36.226+05:00

Pediatric Dosage Calculator

Adult Dose (mg)

Age (Years)

Age (Months - Fried's)

Weight (kg)

Weight (lbs)

Height (cm - BSA)

Select Formula to Visualize

Rule / Formula Name	Calculated Dose

Visualizing: Young's Rule

Learning The Recognition-Primed Decision (RPD) model of Decision-Making

2026-05-08T10:30:00.001+05:00

Learning the RPD Model

Mastering the RPD Model

The Recognition-Primed Decision (RPD) model explains how experts make split-second choices under pressure by recognizing familiar patterns rather than comparing lists of options.

1. The Decision Cycle

The loop of Experiencing, Analyzing, and Implementing.

2. Match the Concept

Drag the descriptors into the correct stage of the RPD Cycle:

Gathering Cues

Mental Simulation

Taking Action

Pattern Matching

Sensory Input

Satisficing

Experiencing

Analyzing

Implementing

3. Reflection & Discussion

The Psychology of Choice

2026-05-06T15:29:00.002+05:00

The Psychology of Choice

A deep-dive into Prospect Theory and why we fear loss more than we love gain.

Prospect Theory

Developed by Kahneman & Tversky, this Nobel-winning theory explains that humans value gains and losses differently. We don't think in absolute wealth, but in changes from our current state.

Risk Aversion

When looking at potential gains, we get "scared." We prefer a bird in the hand. Faced with a sure gain, most people choose the safe bet over a gamble for more.

Loss Aversion

Pain from a $100 loss is twice as intense as the joy of a $100 gain. This "asymmetry" drives almost all human economic behavior.

Risk Seeking

When faced with a sure loss, our brains flip. We become "gamblers," willing to take huge risks just for a small chance to break even and avoid the sting of losing.

Status Quo Bias

We are wired to stay put. We treat the current situation as a reference point, and any change from it is perceived as a potential loss.

1. Interactive Scenario Lab

Where do these human tendencies belong? Drag each scenario into the correct psychological bucket.

SAFE & STEADY (Averse)

GAMBLE IT ALL (Seeking)

Sure gain of $500

Sure loss of $500

"90% Survival Rate"

"10% Mortality Rate"

Keeping the default 401k

2. Challenge Your Thinking

Advanced Exploration

Q1: Why do people continue to watch a boring movie just because they paid for the ticket?

Sunk Cost Fallacy: We treat the spent money as a "loss" that we are trying to "recover" by staying. Rationally, the money is gone regardless; staying only loses you time.

Q2: Why are we more likely to buy a $50 shirt marked down from $100 than a $50 shirt with no discount?

Anchoring: The $100 price becomes the reference point. Buying it at $50 feels like a $50 "gain" rather than a $50 expense.

Q3: Why do people buy extended warranties for small electronics when the math rarely favors the consumer?

Probability Weighting: We over-weight small probabilities of "disaster" (the device breaking). We pay a premium to eliminate the possibility of the "pain of loss."

Q4: Why is it harder to quit a job you hate than to turn down a job offer you don't like?

Status Quo Bias: Quitting is an active choice that feels like a "loss" of security, whereas turning down a new offer is maintaining the current state.

Q5: How does "Narrow Framing" lead to bad financial decisions?

Narrow Framing: This happens when we look at every investment individually. If one stock drops, we feel the "loss" intensely and sell, even if our overall portfolio is up significantly.

Q6: Why do "Trial Periods" (e.g., Netflix for 30 days) work so well for companies?

Pseudo-Endowment: Even before you pay, you begin to incorporate the service into your life. Ending the trial feels like losing a possession rather than just not buying a service.

Q7: Why do people prefer a 100% chance of winning $450 over a 50% chance of winning $1,000?

The Certainty Effect: We over-value outcomes that are certain. Even though the "expected value" of the gamble is higher ($500), the psychological safety of "sure money" wins.

Q8: In a crisis, why do leaders often take huge risks that make things worse?

Risk Seeking in Losses: When leaders feel they are in a "losing" position, they often gamble on high-risk strategies to get back to the status quo rather than accepting a smaller, certain loss.

Q9: Why do we feel better when we lose a $20 bill we found on the street vs. a $20 bill we earned at work?

Mental Accounting: We categorize money based on its source. "Found" money is often put in a "play" bucket, so its loss doesn't hit our "hard-earned" reference point as hard.

Q10: How does "Diminishing Sensitivity" affect our joy of winning?

The difference between winning $0 and $100 feels huge. The difference between winning $1,000 and $1,100 feels much smaller. Our emotional response flattens as the amounts grow.

Bayes' Theorem - Educational Content

2025-12-17T10:10:00.016+05:00

Interactive Bayes' Theorem

Bayes' Theorem Visualizer

Understand how to revise predictions based on new data.

The Definition

Bayes' Theorem is a fundamental formula in probability that calculates the updated probability of an event (A) given new evidence (B). It relates the likelihood of the evidence to the prior belief.

P(A|B) =

P(B|A) ⋅ P(A) P(B)

Where:
P(A|B) The updated probability after seeing the evidence. Also called the result. is the Posterior,
P(B|A) The probability of seeing this evidence IF the hypothesis is true. is the Likelihood,
P(A) Your initial belief before seeing any new evidence. is the Prior, and
P(B) The total probability of the evidence occurring, regardless of whether the hypothesis is true or false. is the Evidence.

Interactive Practice

Memorize the Formula

Try writing the theorem below to commit it to memory.

Bayesian Probability Interactive

Adjust sliders to see how evidence updates belief.

Final Probability P(H|E)

16.7%

Given a positive result, this is the chance it's actually true.

P(H) Prior 1% The "Prior" width: How common is the condition?

P(E|H) Sensitivity 99% The height of the Dark Blue box.

P(E|¬H) False Pos 5% The height of the Red box.

Animated Graph maker using R-Project-Shiny-based Packages

2025-11-17T14:11:00.002+05:00

This animated graph maker has been developed using R-Project (4.4.1), RStudio 2025.09.1 Build 401. It is made using packages, including shiny, ggplot2, gganimate, gifski, av, dplyr, readr, shinycssloaders, gapminder, rlang, and shinyjs..

Check my other online advanced statistical tools here:

1. Structural Equation Modeling using Lavaan package in R - https://jeepakistan.blogspot.com/2025/07/structural-equation-modeling-sem-using.html

2. Meta-analysis using Odds Ratio (OR) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/06/meta-analysis-using-odds-ratio-or-in.html

3. Meta-analysis using Cohen's d in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-cohens-d-in.html

4. Meta-analysis using Correlation (r) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-correlation-r-in.html

5. Meta-Analysis using R-Project-based Metafor, and Online calculator (R-Project-Shiny-based) - https://jeepakistan.blogspot.com/2025/09/meta-analysis-using-r-project-based.html

6. Time Series Analyses using R-Project-based Packages, and Online calculator (R-Project-Shiny-based) - https://jeepakistan.blogspot.com/2025/10/time-series-analyses-using-r-project.html

Physiology & Pharmacology Receptor Memory Game

2025-11-07T14:12:05.745+05:00

Welcome to this Physiology & Pharmacology Receptor Memory Game...

This game has been developed to help students memorize over 100 physiological and pharmacological receptors along with their related drugs (agonists or antagonists etc.).

In this game, you have to flip cards on the screen to match each receptor with its correct ligand or drug helping you in memorizing them through spaced repetition and adaptive learning.

You may either "Play All" which is the standard path to help you learn receptors and related drugs without getting overwhelmed, or you can select a specific category of receptors and memorize its receptors and related drugs.

It has two phases to help you learn. Phase 1 relates to your exposure to only two pairs, and after completing Phase 1, you will go to Phase 2, where all pairs will appear.

You may also select Smart Review mode in which only 8 pairs will appear that you may found difficult during your play. Your progress is saved in your computer's local storage, and this Smart Review will work on the Spaced Repetition Algorithm and brings forward only difficult pairs that you may found difficult to learn.

Note: Your feedback is important to eliminate/reduce any errors or mistakes in this game.

==============================================

Receptor Memory Game

Physiology & Pharmacology Receptor Memory Game

Category: Play Smart Review

Loading progress...

Click on the cards to match receptor with its ligand/drug.

Time Series Analyses using R-Project-based Packages, and Online calculator (R-Project-Shiny-based)

2025-10-21T10:08:00.002+05:00

This online calculator has been developed using R-Project (4.4.1), RStudio 2025.09.1 Build 401. It is made using packages, including shiny, shinydashboard, forecast, xts, rugarch, vars, tseries, ggplot2, plotly, zoo, tidyr, DT, shinycssloaders, and dplyr..

Check my other online advanced statistical tools here:

1. Structural Equation Modeling using Lavaan package in R - https://jeepakistan.blogspot.com/2025/07/structural-equation-modeling-sem-using.html

2. Meta-analysis using Odds Ratio (OR) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/06/meta-analysis-using-odds-ratio-or-in.html

3. Meta-analysis using Cohen's d in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-cohens-d-in.html

4. Meta-analysis using Correlation (r) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-correlation-r-in.html

5. Meta-Analysis using R-Project-based Metafor, and Online calculator (R-Project-Shiny-based) - https://jeepakistan.blogspot.com/2025/09/meta-analysis-using-r-project-based.html

Memorize over 170 chemical structures by practically drawing and using Spaced Repetition algorithm

2025-09-15T12:03:00.002+05:00

Please wait while the page uploads completely...

Advanced Chemical Structures Quiz

Chemical Structures SRS

Draw the structure, then rate your memory!

Choose a subject:

Your Source of Information

Pro Decision-Making Made Easy - 3-Step Decision Framework to Prioritize Appropriate Decisions

End-to-End Decision Pipeline

Step 1: Idea Screening & Prioritization

Major Projects (High Impact, High Effort)

Quick Wins (High Impact, Low Effort) - Priority!

Thankless Tasks (Low Impact, High Effort)

Fill-Ins (Low Impact, Low Effort)

Step 2: AHP Criteria Weighting & Consistency Check

Pairwise Comparisons (Saaty Scale)

Consistency Ratio Analysis

Calculated Criteria Priority Weights (wi)

Step 3: Final Decision Matrix & Scoring

Final Decision Results Overview

Visual Comparison Chart

Add Backlog Idea

Disclaimer & Terms of Use

1. Educational & Analytical Purpose Only

2. User Responsibility & Decision Ownership

3. Data Privacy & Processing

4. Intellectual Property & Methodologies

What Should We Build Next? Use This Free RICE Calculator to Decide

RICE Prioritization Calculator

Top Ranked Backlog

The RICE Formula

Detailed Backlog Matrix

Add New Idea

Delete Idea?

Stop Guessing: Use this Interactive Impact vs. Effort Matrix to Find Your Quick Wins and Make Better Decisions

Impact vs. Effort Matrix

All Evaluated Options

Add New Option

Excel Speedrunner — Build Muscle Memory for Lightning-Fast Spreadsheets

Set 1 of 13 (Shortcuts 1 - 5)

Memorize these 5 shortcuts before testing your physical keyboard muscle memory:

Press the keys on your physical keyboard to perform:

No shortcuts found

Speedrunner Quiz Challenge

How do you Save the current workbook?

Quiz Finished!

In-Browser Image Processing & Diff Tool – Powered by OpenCV.js

The Analytic Hierarchy Process (AHP): Step 1 to the Perfect Decision Matrix for Better Decision Making

AHP Consistency Ratio (CR) Calculator

1 Define Decision Criteria

2 Pairwise Comparisons (Saaty 1–9 Scale)

3 AHP Consistency Analysis

Calculated Priority Vector (wi) Weights

AHP Mathematical Foundations

1. Pairwise Comparison Matrix (A)

2. Priority Vector / Row Averages (wi)

3. Principal Eigenvalue (λmax)

4. Consistency Index (CI) & Consistency Ratio (CR)

Decision Matrix Webapp to help you make Better Decisions

Decision Matrix

Results Overview

Visual Comparison

Digital Image Analysis using R-Project-based EBImage, randomForest, DT, and bslib - A Web app (R-Project-Shiny-based)

Stroop Memory Test Challenge

Stroop Test Challenge

A mini game for Crisis Command, and leadership and decision-making trainer

Crisis Command

How to play

Awaiting deployment

Performance Statistics

Letter Span Memory Test and Game

Letter Span

1Settings

2Test

3Stats & results

Digit Span Memory Game

Pharmaceutical Chemistry 1A (Organic Chemistry 1) - Learning using Logical Flow and Spaced Repitition strategies

Concept Map — Logical Chain

N-Back Trainer - Working memory / cognitive training

N-Back Trainer

Mastering some aspects of Islamic history timeline - Interactive learning

Islamic World Historical Timeline

Spaced Repetition System (SM-2 Algorithm)

Help yourself learn/memorize 50 terms from Krebs Cycle

Krebs Cycle Mastery (SM2 Algorithm)

🎉 Session Complete!

Calculated Criteria Priority Weights (w_i)

Calculated Priority Vector (w_i) Weights

2. Priority Vector / Row Averages (w_i)

3. Principal Eigenvalue (λ_max)