;
};
export const PromptBlock = ({children, type, agent, intent, playbookId}) => {
var utm = 'utm_source=docs&utm_medium=use-case-gallery&utm_campaign=prompt-block';
var tag = 'docs-use-case-gallery';
var agentParams = (agent ? '&agent=' + agent : '') + (intent ? '&intent=' + intent : '') + (playbookId ? '&playbookId=' + playbookId : '');
var label = type === 'schedule' ? 'Schedule in Devin' : type === 'playbook' ? 'Create Playbook' : type === 'knowledge' ? 'Add to Knowledge' : agent === 'advanced' ? 'Try in Devin' : agent === 'dana' ? 'Try in Dana' : agent === 'ada' ? 'Try in Ask Devin' : 'Try in Devin';
var buildUrl = function (text) {
var encoded = encodeURIComponent(text);
if (type === 'schedule') return 'https://app.devin.ai/settings/schedules/create?' + utm + agentParams + '&prompt=' + encoded;
if (type === 'playbook') return 'https://app.devin.ai/settings/playbooks/create?' + utm + '&body=' + encoded;
if (type === 'knowledge') return 'https://app.devin.ai/knowledge?' + utm + '&body=' + encoded;
if (agent === 'ada') return 'https://app.devin.ai/search?' + utm + '&noSubmit=true&prompt=' + encoded;
return 'https://app.devin.ai/?tags=' + tag + '&' + utm + agentParams + '&prompt=' + encoded;
};
const ref = React.useRef(null);
const [href, setHref] = React.useState('#');
React.useEffect(() => {
if (!ref.current) return;
var codeEl = ref.current.querySelector('pre code');
if (codeEl) {
var text = codeEl.textContent.trim();
if (text) setHref(buildUrl(text));
}
var header = ref.current.querySelector('[data-component-part="code-block-header"]');
if (header && !header.querySelector('.prompt-block-devin-link')) {
var link = document.createElement('a');
link.href = href;
link.target = '_blank';
link.rel = 'noopener noreferrer';
link.className = 'prompt-block-devin-link';
link.style.cssText = 'display:inline-flex;align-items:center;gap:6px;text-decoration:none;color:#fff;font-size:11px;font-weight:500;padding:4px 10px;border-radius:6px;white-space:nowrap;background:#317CFF;transition:background 0.2s;margin-left:8px;';
link.innerHTML = ' ' + label;
link.onmouseenter = function () {
link.style.background = '#2968D9';
};
link.onmouseleave = function () {
link.style.background = '#317CFF';
};
header.appendChild(link);
}
var existingLink = ref.current.querySelector('.prompt-block-devin-link');
if (existingLink && href !== '#') existingLink.href = href;
});
return
{children}
;
};
Don't want to set this up manually? Paste a link to this page into a Devin session and ask it to set everything up for you.
Dana needs access to the database where your customer data lives. Go to **Settings > Connections > MCP servers**, find your database provider, and click **Enable**.
Common setups for customer metrics:
* **PostgreSQL** for application data (users, accounts, feature flags)
* **Redshift** or **BigQuery** for analytics warehouse data (usage events, revenue)
* **Snowflake** for combined operational + analytics data
If your provider isn't listed, click **Add Your Own** and provide a connection string. For production databases, always use a **read-only** connection string or a database user with restricted permissions.
Once connected, verify it works by starting a quick [Dana session](/work-with-devin/data-analyst) from the Devin webapp:
```txt Verify database connection theme={null}
!dana List all tables in the analytics schema that contain the word "user" or "account"
```
If Dana returns your table names, your MCP is working. If not, double-check credentials in **Settings > Connections > MCP servers** and ensure your database allows connections from Devin's IP ranges.
Go to [**Settings > Playbooks > Create playbook**](https://app.devin.ai/settings/playbooks/create?utm_source=docs\&utm_medium=use-case-gallery) and name it `!customer-health` — the `!` prefix turns it into a [macro](/product-guides/using-playbooks) you can invoke from Slack.
Define the metrics Dana should pull for any given account. Keep the playbook general — Dana will figure out the right tables and queries from your schema:
```txt Customer Account Health Summary theme={null}
When given a customer name, find and report:
1. **Monthly active users** — 6-month trend with month-over-month change
2. **Feature adoption** — which features the account used in the past 30 days and how many distinct users per feature
3. **Support tickets** — open vs resolved in the past 30 days, average resolution time
4. **Revenue** — current MRR and 6-month trend
Format the output as:
- A summary line with health verdict (Healthy / At Risk / Needs Attention)
- A table with MAU trend, feature adoption count, open tickets, and current MRR
- A short list of risk factors or positive signals based on the data
```
You can also ask Devin to generate a customer health playbook tailored to your specific schema and metrics.
Make sure you've connected the [Slack integration](/integrations/slack) in **Settings > Connections** and that Devin is added to the channel where your team discusses customer accounts.
Invoke the playbook using the `!dana` keyword and your macro name:
```txt Pull customer health summary theme={null}
@Devin !dana !customer-health Give me an account summary for Acme Corp
```
Dana queries your connected databases, runs the SQL from your playbook, and replies in-thread with a formatted summary:
> **Acme Corp — At Risk**
>
> | Metric | Value | Trend |
> | -------------------- | ------------------------ | ----------------- |
> | Monthly Active Users | 342 | -8% MoM |
> | Features Used (30d) | 6 of 10 | Stable |
> | Open Support Tickets | 12 (avg 8.2h resolution) | +3 vs last month |
> | MRR | \$4,850 | Flat for 3 months |
>
> **Risk factors:** MAU declining, no expansion in 3 months, 3 recent tickets about login failures.
You can follow up in the same thread to drill deeper:
```txt Drill into user activity theme={null}
@Devin !dana For Acme Corp, show me the daily active users for the past
30 days. Flag any days where DAU dropped below 50% of the 30-day average.
```
```txt Compare to plan average theme={null}
@Devin !dana Compare Acme Corp's feature adoption and MAU to the median
for all Enterprise-plan accounts. Where are they lagging?
```
Once the playbook works well for ad-hoc lookups, consider automating it:
* **Scheduled sessions**: Use [scheduled Devin sessions](/product-guides/scheduled-sessions) to have Dana post a health summary for your top 10 accounts every Monday morning into a `#customer-health` channel.
* **Pre-meeting prep**: Before a quarterly business review, ask Dana to pull summaries for all accounts in a specific tier — `@Devin !dana !customer-health Run this for all accounts where plan = 'Enterprise'`.