Solutions for Research Teams
Dots helps you bring your data together, make sense of it faster, and make research more accessible across the organization
Challenges research teams face
Practical ways research teams use Dots
Deep analysis
Analyze interviews, research sessions, and other qualitative data in detail. Identify themes, behaviours, patterns, and insights across individual studies or larger datasets.
Centralized research
Bring interviews, surveys, transcripts, notes, and other research files into one searchable knowledge base. Keep your research organized and make it easier for teams to find and build on what already exists.
Automated synthesis
Stay on top of incoming feedback without manually reviewing everything. Generate summaries and surface emerging themes so research teams and stakeholders can keep up with what is changing.
Instant answers
Ask questions across your research and get evidence-backed answers without digging through individual studies, documents, or folders. Find the information you need while staying connected to the underlying evidence.
How Dots helps research teams scale insight
1
Spend more time on the work that matters
Automate repetitive tasks like tagging, identifying themes, and summarizing data. Reduce the time spent on manual processing so researchers can focus on interpretation, synthesis, and decision-making.
2
Build a shared research knowledge base
Keep research data, findings, and organizational knowledge together instead of letting valuable evidence disappear into individual projects or folders. Make past research easier to find and reuse when new questions arise.
3
Put research knowledge in everyone’s hands
Research shouldn't only be useful to the people who conducted it. Give everyone access to the information and insights relevant to their work, making research part of everyday decision-making across the organization.
4
Turn raw data into structured knowledge
Use AI-assisted frameworks to organize qualitative data and structure findings into clear, repeatable summaries. Keep the connection between insights and the evidence behind them.
5
Maintain quality and consistency
Standardized data collection, structured organization, and consistent analysis workflows help teams maintain data quality across projects and make findings easier to compare and synthesize
Xeno Co-Lab
See how Xeno Co-Lab brought together multilingual, multi-format qualitative research from India and Indonesia to organize and analyze interviews, pre-tasks, and other research data in one place.
Catapult Design
See how Catapult Design uses Dots to manage collaborative research across three countries, bringing together raw data, analysis, and synthesized insights while enabling teams and stakeholders to explore findings as the research evolves
GivingTuesday Data Commons
Explore how GTDC used Dots to run a collaborative study with 300+ nonprofits, bringing quantitative and qualitative data together for analysis, synthesis, and evidence-based insights on everyday giving in India.
Connect Dots to your research workflow
01
ODK, KoboToolbox, and SurveyCTO
Bring survey responses and other structured or open-ended research data from your existing data collection tools into Dots. Keep responses organized and ready for analysis alongside your other research data.
02
WhatsApp Chatbot
Collect research responses and participant feedback directly through WhatsApp. Bring conversational data into Dots for analysis without losing the context of each response.
03
Google Sheets & MS Excel
Bring research data from Google Sheets into Dots and combine it with interviews, transcripts, and other qualitative data. Keep your research in one place and ready to analyze.
04
Zoom & Fathom
Bring interview, focus group, and research session transcripts into Dots. Analyze conversations at scale and identify themes without manually reviewing every transcript.
05
Sarvam & ElevenLabs
Transcribe and translate interviews, FGDs, and other audio data across 22+ Indian and other international languages. Bring multilingual field data into Dots in a form teams can analyze and use.
06
Slack
Bring conversations and knowledge from Slack into Dots and analyze them alongside participant and partner conversations to build a comprehensive picture.
07
Custom Integrations
Dots can support custom integrations based on the tools and systems your team uses. See our full list on the Integrations page or contact our team
Frequently asked questions
What’s the difference between AI tools like Claude or ChatGPT and Dots?
Why should research teams use Dots instead of building internal AI workflows?
How can research teams use Dots to find the insights that matter?
What types of research data can I analyze in Dots?
Can I bring existing research into Dots?
Does AI compromise research rigor?
Can Dots handle large research datasets?
Can stakeholders access insights without training?
Can Dots work with multilingual research?
Bring your qualitative evidence into the bigger picture.
Data is most useful when it provides a complete picture that helps your team learn, adapt, and improve.