Data Panda brings your Dovetail projects, notes, tags and insights together with the data from the rest of your business. From one place, we turn customer interviews and feedback into dashboards, automations, AI workflows and custom apps your team uses every day.
Dovetail was founded in 2017 in Sydney by Benjamin Humphrey and Bradley Ayers as a place to store, tag and analyse customer research instead of losing it in folders, decks and individual notebooks. It has grown into a customer intelligence platform used by teams at Atlassian, Canva, Cisco, Shopify, AWS and Notion to turn calls, transcripts, surveys and support tickets into structured insights, with AI features (Magic, AI Projects, AI Channels) layered on top to cluster themes and surface patterns.
The reason to pull Dovetail into a warehouse is that an insight is rarely the finish line. A research theme belongs next to the feature adoption it predicts, an interview transcript belongs next to the account it came from, a tagged quote belongs next to the renewal date or the support ticket it explains. On its own a Dovetail project lives inside the research tool; joined to your CRM, product and billing data it becomes evidence the rest of the business can act on.
Tags, themes and insights trended next to the customer, plan and feature they describe.
Let a new Dovetail insight or tag fire the right follow-up across the rest of your stack.
Layer your own AI on top of Dovetail data joined to product and revenue.
Internal tools on Dovetail data for the people who do not live in the research tool.
A list of concrete reports, automations and AI features we have built on Dovetail data. Pick the one that matches your situation.
Which research themes show up in customers who renew, and which in customers who churn?
Dovetail themes and tags joined to CRM account status, plan and twelve-month retention. Splits the theme that surfaces in vocal but loyal customers from the theme that quietly precedes a non-renewal, per segment and per product area.
Are we interviewing the customers who genuinely represent our base, or the ones who pick up the phone?
Research participation rate per persona, plan, region and tenure, compared to the live customer mix in your CRM and billing system. Surfaces the segments that are over-represented in the repository and the ones the roadmap is hearing from far too rarely.
Research themes joined to renewal status, plan and revenue at risk. Roadmap arguments stop being anecdote and start being evidence the finance team can put behind a number.
Account-level research file pulling every interview, tag and theme tied to a single customer onto the record. AEs walk into a renewal call knowing what their customer told the research team last quarter.
Theme volume per product area trended over time, joined to support ticket and NPS themes. Operations sees the same complaint surfacing in three places before it becomes a board slide.
Every Dovetail interview, tag and theme tied to a customer pushes onto the HubSpot company and contact record as a research timeline. AEs and CSMs open the account with the customer's own words at hand, instead of asking the research team to dig through projects after the fact.
Dovetail insights, tags and theme counts land on the matched Salesforce account and opportunity, with links back to the source notes. Renewal and expansion plays use what the customer told the research team, with the evidence one click away on the record they already work in.
Dovetail tags and themes are matched against Intercom conversations on the same account, surfacing where a tagged research finding is now showing up in inbound support traffic. Support replies can cite the research, and the research team sees their themes validated by ticket volume.
When a new Dovetail insight is published or a tag passes a volume threshold, a Slack message lands in the channel for the affected product area or account team, with the quote, the customer and a link back to the source. The research team stops chasing stakeholders to read the report.
Themes that pass a volume threshold or appear on multiple high-value accounts open a monday.com card on the right product board, prefilled with the linked insights, customers and quotes. The roadmap meeting starts with evidence already attached to the candidate item.
Dovetail insights and quotes flow into the relevant Notion product spec or PRD as live blocks, kept in sync as new tags land on the same theme. Product writers stop copy-pasting research clips into docs, and the spec keeps citing the latest evidence on its own.
You keep the reporting tool you already have. We connect it to the warehouse where your Dovetail data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
The Dovetail public API exposes projects, notes, tags, fields, files, highlights, channels, insights, comments and users, and we sync those as separate tables with the relationships between them preserved. That means a tagged highlight inside a note inside a project inside a channel can be queried in either direction, and joined to the customer the note describes.
Dovetail's AI features (Magic, AI Channels, AI Projects) cluster themes inside the research tool, which is the right place for that work. The warehouse serves a different question: how does a research theme line up with the account, the plan, the feature usage and the renewal date that live in your CRM, product database and billing system. Theme clustering stays in Dovetail; theme-to-revenue analysis happens in the warehouse.
We review your Dovetail setup and the systems around it. Together we pick the first thing worth building.