> For the complete documentation index, see [llms.txt](https://wiki.simpler.grants.gov/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wiki.simpler.grants.gov/product/decisions/adr/use-condens.io-+-public-wiki-for-design-research-repository.md).

# Use Condens.io + Public Wiki for Design Research Repository

* **Status:** Active
* **Last Modified:** July 25, 2025
* **Related Issue:** <https://github.com/HHS/simpler-grants-gov/issues/4855>
* **Deciders:** Crystabel Rangel (w/ Andy Cochran, Wendy Fong, Julius Chang)
* **Tags:** design, research, tool, transparency

## Context and Problem Statement

We want research tooling that supports both 1) internal research operations and 2) public-facing research transparency. This tooling should help our team work more efficiently and effectively, and increase project transparency within the team, for leadership, and to the public.

## Decision Drivers

### **Problem 1: Internal Research Repository Needs**

The appropriate internal research repository tool will…

* Increase efficiency by reducing the time spent manually organizing, categorizing, annotating, and searching through research notes/videos/spreadsheets/etc.
* Allow for improved cross referencing of study efforts and past research
* Provide data access to the entire internal team, documenting researchers' thinking and allowing anyone to interpret findings on their own
* Securely handle PII and sensitive information (storing it in a single dedicated space)
* Simplify anonymization and exporting/copying findings for public sharing
* Allow robust sorting, filtering, and grouping of research
* Include strong transcription capabilities
* Support multiple media inputs (video, audio, documents, etc.)
* Offer good export options (e.g. spreadsheets, documents, PDFs)
* Be a Nava-approved tool (security, compliance)

### **Problem 2: Public-Facing Research Repository Needs**

* Share detailed insights without exposing raw notes
* Remove or mask any PII
* Promote transparency
* Enable sharing with broader audiences (e.g. Co-Design Group, open source, general public)

## Options Considered

* Dovetail
* Qualie
* Condense
* Public Wiki

## Decision Outcome

Use Condens.io for internal research operations and the Public Wiki for external transparency.

**(Problem 1)** Condens meets/exceeds all requirements, including:

* **AI-powered transcription** — Automatically transcribes audio and video recordings, saving time and effort in data processing.
* **Data organization** — Centralizes all research data (recordings, notes, comments, findings) in a single secure and searchable repo, which can be shared across research efforts for Simpler.Grants.gov ***and*** SimplerNOFOs.
* **Powerful search capabilities** — Quickly find specific insights using keywords/tags/filters. You can ask its AI complex questions, and it packages up the relevant data.
* **Collaboration & transparency** — Unlimited read-only accounts provide a self-serve knowledge hub for entire internal team to explore the data, leave comments, share insights, come to their own conclusions/findings, and build reports together.
* **Reporting** — Create reports, visualizations, affinity diagrams, and artifacts to identify patterns and themes in research data that can be shared with team (and anonymized for the public).
* **Integration** — Zoom and Google Drive make importing/exporting easy.

**(Problem 2)** The Public Wiki is already being used for our public-facing documentation needs. Sharing research findings there will avoid the need for stakeholders to visit yet another tool. And it enforces a clear separation of data that'd public on the wiki (anonymized findings reports, recommendations) and what should remain in Condens (session notes, PII).

[Condens Overview - Watch Video](https://www.loom.com/share/74be84e0f1b04fe782dc024e42608e0f) [![](https://cdn.loom.com/sessions/thumbnails/74be84e0f1b04fe782dc024e42608e0f-ad2d8f58dd7753eb-full-play.gif)](https://www.loom.com/share/74be84e0f1b04fe782dc024e42608e0f)

### Positive Consequences

* Increased research operations efficiency
* Improved transparency (internal and public)
* Easily-shared data allowing whole team to arrive at conclusions/findings (with unlimited veiw-only accounts)
* Separation of concerns having both *private* and *public* research repositories

### Negative Consequences

* Additional project costs
* Limited number of licenses/seats for researchers

## Pros and Cons of the Options

### Dovetail

<https://dovetail.com/> — score: **3.42** (out of 5)

* **Pros**
  * Good auto-categorization of research data, provides good high level summaries
  * Fast querying across all video file data in the project
  * Good video/audio processing
  * Good transcription
* **Cons**
  * No view-only access (can't share among internal team w/o licenses)
  * No AI-assisted tagging (requires labor-intensive manual tagging)
  * Queries must be simple and direct
  * Sorting capabilities are basic, based on manual grouping
  * PII security requires manual handling, unable to blur name/face in video
  * Only supports spreadsheet export; no PDF import/export
  * Bit of a learning curve

### Qualie

<https://www.qualie.ai/> — score: **3.46** (out of 5)

* **Pros**
  * Excellent auto-categorization of research data (you create key questions and highlights get automatically added)
  * Good automated insight generation and sorting/grouping capabilities
  * Excellent querying capabilities
  * Good video/audio processing
* **Cons**
  * No view-only access — unlimited accounts, but fees are charged per interview not by seat
  * Sufficient tagging, but done by user role (not in transcript)
  * Does not store participant information
  * Unable to share video clips externally or anonymize participants
  * Only *limited* spreadsheet export; no PDF import/export

### Condense

<https://condens.io/> — score: **4.67** (out of 5)

* **Pros**
  * Unlimited view-only accounts do not require license (internal team can browse all data and even leave comments)
  * Good AI-assisted auto-categorization of research data, provides suggestions based on tags created (but does not auto tag)
  * Excellent querying capabilities
  * Excellent encrypted PII handling
  * Excellent data organization
    * Session information can be customized to use as sort options
    * Global ***and*** project-specific taxonomies
  * Excellent video/audio processing (including PDF imports!)
  * Excellent transcription
  * Excellent export options
    * Can download whiteboards as images or public link
    * Artifacts can be printed or exported for private/public sharing
* **Cons**
  * Although public links can hide names and tags, unable to blur face or video (but feature is in development, per onboarding call w/ support)

## Links

* [Google Sheet with detailed analysis](https://docs.google.com/spreadsheets/d/1oM28qOTsRtVMEsjctBweZPAyyiaB-TjuF6SlcSfDZLs/edit?gid=0#gid=0)
* <https://github.com/HHS/simpler-grants-gov/issues/4855>
