Product benchmarking

Where Dots Fits in Your Workflow

Compare Dots with tools commonly used across the research lifecycle.

The Market Landscape

Different tools have emerged to support various stages of the research process. Understanding where each tool fits can help you decide what your team really needs

BI & Dashboard Tools

Power BI · Tableau

GOOD FOR

Quantitative reporting, KPIs, dashboards

NOT BUILT FOR

Qualitative analysis, narratives, field insights

Survey & Data Collection

Dimagi · Kobo · ODK · SurveyCTO

GOOD FOR

Data collection at scale

NOT BUILT FOR

Cross-project analysis and synthesis

Qualitative
Analysis

NVivo · MAXQDA

GOOD FOR

Deep coding and research analysis

NOT BUILT FOR

Operational workflows, collaboration, live data

Research Repositories

Dovetail · Condens

GOOD FOR

Organizing UX research

NOT BUILT FOR

Mixed methods, portfolio-level visibility

Spreadsheets & Slides

Excel · Google Sheets · PowerPoint

GOOD FOR

Flexible and familiar

NOT BUILT FOR

Break down at scale

Capability Comparison

A side-by-side look at the capabilities each tool supports

Capability

Dots

NVivo

MAXQDA

Dovetail

Condens

Power BI

Dimagi

Qualitative analysis

Yes

Yes

Yes

Yes

Yes

No

Partial

Quantitative analysis

Yes

Yes

Partial

Partial

No

Yes

Partial

Mixed-methods workflows

Yes

Yes

Yes

No

No

No

Partial

AI-assisted analysis

Yes

Yes

Partial

Yes

Yes

Partial

Partial

PM / program workflows

Yes

No

No

Partial

Partial

No

Partial

Executive reporting

Yes

No

No

No

No

Yes

Partial

Data collection

Yes

No

No

No

No

No

Yes

Team collaboration

Yes

Partial

Partial

Yes

Yes

Yes

Yes

Large-scale datasets

Yes

Partial

Partial

Yes

Partial

Yes

Partial

Yes

Fully supported

Partial

Limited or in some capacity

No

Not supported

Positioning Dots Against Key Categories

A closer look at where Dots overlaps with and differs from the most commonly used research tools.

NVivo &
MAXQDA

Qualitative Analysis

THEY’RE BUILT FOR

Helping researchers analyze a study.

–

Academic research

–

Manual coding

–

Methodologically rigorous analysis

–

Single-study workflows

DOTS IS BUILT FOR

Helping organizations manage and learn from multiple studies.

→

Continuous data streams

→

Cross-project visibility

→

AI-assisted synthesis

→

PM and program management workflows

→

Executive reporting

Power BI

BI & Dashboards

POWER BI TELLS YOU

What happened.

–

Metrics and dashboards

–

KPIs

–

Business reporting

DOTS EXPLAINS

Why it happened.

→

Handles narrative and qualitative data

→

Connects stories with metrics

→

Supports mixed methods

→

Provides evidence behind trends

Dovetail &
Condens

Research Repositories

THEY’RE BUILT FOR

Organizing research.

–

UX research repositories

–

Customer interviews

–

Research team collaboration

DOTS DOES

Operationalizing insights across organizations.

→

Multi-project visibility

→

Program and portfolio management

→

Mixed methods analysis

→

Cross-functional reporting

→

NGO and social impact workflows

Dimagi

Survey & Data collection

DIMAGI HELPS YOU

Collect data.

–

Mobile data collection

–

Field operations

–

Monitoring & evaluation workflows

DOTS HELPS YOU

Understand and act on it.

→

Analysis-first platform

→

AI synthesis

→

Cross-project learning

→

Executive reporting

→

Insight generation

Is Dots right for you?

Choosing the right tool for your workflow

A dashboard is enough if…

○

You only track KPIs

○

Most data is quantitative

○

Your team already knows why trends are happening

A research repository is enough if…

○

You run occasional studies

○

Only one team consumes the findings

○

Insights do not need ongoing monitoring

Dots becomes essential when…

●

You work across 2+ datasets or data sources

●

You operate across countries or regions

●

You collect both qualitative and quantitative data

●

Insights need to be available at every team level

●

Reporting is repetitive and time-consuming

●

Leadership wants evidence behind every metric

Dots becomes essential when…

●

You work across 2+ datasets or data sources

●

You operate across countries or regions

●

You collect both qualitative and quantitative data

●

Insights need to be available at every team level

●

Reporting is repetitive and time-consuming

●

Leadership wants evidence behind every metric

Scenarios Where Dots Excels

Whether you’re managing programs, building products, or delivering research, Dots helps you make sense of complex evidence at scale

Multi-country NGO programs

DATA COMING IN

📋 Surveys

🎙 Interviews

📝 Field observations

📖 Case stories

DOTS DELIVERS

Unified in one system & comparable across geographies and program cycles.

Product organisations

DATA COMING IN

🎫 Support tickets

🎙 User interviews

📊 NPS feedback

📈 Product analytics

DOTS DELIVERS

Combined into a single insight layer, so every team sees the full picture.

Research organisations

DATA COMING IN

🗂 Multiple clients

📁 Multiple projects

🔀 Different methodologies

DOTS DELIVERS

Standardized and comparable across portfolios without losing methodological nuance.

The command center for mixed-methods data

Share your current workflow, and we’ll show you how Dots fits in