šŸ‘‘ ImpactMojo Pro+ Observation Lab

šŸ‘‘ Welcome to ImpactMojo Pro+ Observation Lab

Professional qualitative research tool for development economists

āœØ Premium Features

  • šŸ”¬ Systematic Data Collection: Timestamped, structured observations
  • šŸŽÆ Quality Assurance: Built-in bias detection and completeness metrics
  • šŸ·ļø Advanced Coding: Thematic analysis with pattern recognition
  • šŸ“Š Evidence-Based Insights: Research-grade analytical outputs
  • šŸ“„ Publication Ready: Professional exports for papers and reports
  • šŸ”’ Privacy First: All data stays on your device

šŸŽ“ Perfect For Development Economics

Field Research Excellence

Structured observation protocols designed for development economics fieldwork

Methodological Rigor

Built-in quality checks, bias detection, and saturation analysis

Publication Ready

Generate methodology sections, evidence tables, and formatted reports

šŸŽÆ Recommended Workflow

1. Setup & Planning
Define research questions, population, and context
2. Data Collection
Systematic observation with timestamps and coding
3. Analysis & Insights
Pattern detection, quality assessment, and insight generation

Research Setup

Auto-saves as you type
Frame in terms of observable behaviors and measurable outcomes
Include sample size and key demographics
Specify geographic and institutional context
Total number of primary observation units
Environmental and situational factors (comma-separated)
šŸ’” Best Practice: Frame questions in terms of observable behaviors. Include theoretical framework and specify measurement approaches. Consider power calculations for your sample size.

Research Examples

Load demo datasets to explore features

Field Observations

Capture detailed, timestamped observations

šŸ“‹ From Field Notes to Research Insights

What Makes Quality Observations:
  • ā€¢ Specific events: One observation per entry
  • ā€¢ Timestamps: Use [HH:MM] format consistently
  • ā€¢ Quantification: Include counts, durations, frequencies
  • ā€¢ Direct quotes: Verbatim speech when relevant
  • ā€¢ Objective language: Avoid subjective interpretations
The Observation ā†’ Insight Pipeline:
  • ā€¢ Systematic collection: 15+ timestamped observations
  • ā€¢ Thematic coding: Use #hashtags for themes
  • ā€¢ Pattern analysis: Automated detection of trends
  • ā€¢ Quality assessment: Built-in rigor metrics
  • ā€¢ Evidence synthesis: Research-grade insights

Add Observation

Use consistent format like [HH:MM]
Focus on one specific event. Include counts, quotes, and observable details
Use #hashtags or comma-separated terms for thematic coding
šŸ“ Quality Checklist
āœ“ Timestamp in [HH:MM] format
āœ“ Specific, observable behavior
āœ“ Quantified where possible
āœ“ Tagged for thematic analysis
āœ“ Objective, factual language

All Observations 0

Search across observation text, timestamps, and tags

šŸ”¬ Start Systematic Data Collection

Begin capturing structured field observations to build your evidence base.

Target: 15+ observations for robust analysis
Quality: 70%+ timestamped, 40%+ quantified
Approach: One specific event per observation

Session Metrics

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šŸ“Š Quality Targets:
ā€¢ 15+ observations
ā€¢ 40%+ quantified entries
ā€¢ Consistent timestamping
ā€¢ Multiple perspectives

šŸ“ˆ Data Collection Progress

Toward 15 observations 0/15

Coding & Analysis

Systematic analysis and pattern detection

Data Quality Assessment

Data Completeness 0%

Click "Run Quality Analysis" to assess:

  • ā€¢ Timestamp consistency and coverage
  • ā€¢ Quantification rates and detail levels
  • ā€¢ Bias detection and objectivity metrics
  • ā€¢ Thematic diversity and saturation

Thematic Analysis

Generate thematic codes to analyze:

  • ā€¢ Tag frequency and distribution
  • ā€¢ Thematic saturation assessment
  • ā€¢ Code co-occurrence patterns
  • ā€¢ Emergent theme identification

Pattern Detection

šŸ” Advanced Pattern Recognition

Detect temporal sequences, behavioral clusters, and statistical outliers in your data

Temporal Analysis
Time-based patterns and sequences
Quantitative Patterns
Statistical outliers and distributions
Thematic Clusters
Co-occurrence and relationships

Research Insights

Evidence-based findings and interpretations

Key Findings

šŸ”— From Observations to Insights

Transform your field observations into research findings

Evidence-Based Analysis: Link patterns to specific observations
Research Alignment: Connect findings to your research questions
Publication Ready: Generate insights formatted for academic use

Evidence Base

šŸ“š Supporting Evidence

Representative observations organized by theme

Thematic Organization: Evidence grouped by research themes
Quality Metrics: Timestamp and quantification rates per theme
Sample Quotations: Direct evidence for publication

Quotable Findings

šŸ’¬ Publication-Ready Quotes

Collect verbatim quotes and key observations for academic writing

Export & Documentation

Generate reports and share findings

Export Options

Import Data

Import previously exported JSON files

Session Statistics

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šŸ”’ Privacy Note: All data is stored locally in your browser. No information is sent to external servers.