Why Zapier and Make Aren't Enough to Solve Your Multi-Tool Problem
When you tell people you're using five different PM tools, the first response is usually: "Why don't you just automate it?"
Zapier or Make can definitely automate data flow between tools. When a task completes in Asana, Zapier can create an entry in a spreadsheet.
When a Linear issue is created, Make can send you a Slack message. This feels like it should solve the problem.
It solves some problems. But not the main one.
What Automation Actually Solves
Automation is powerful for specific, repetitive data flows. It saves time and prevents gaps.
When a task moves to Done in Asana, automatically update the status in Jira. This keeps two tools in sync without manual work.
When a Slack message comes with a certain keyword, create a task in Linear. This prevents context-switching to go create the task manually.
When a client fills out a form, create a project in Asana and send a welcome email. This eliminates multiple manual steps.
These automations save time. They reduce friction. For specific, well-defined workflows, they're genuinely valuable.
Most teams should use automation for their obvious hand-offs: design moves to engineering, task completes and needs billing confirmation, client approval is needed and the designer needs to know.
The Core Problem Automation Doesn't Solve
But here's what automation doesn't do: it doesn't give you a unified view of your work.
Your engineering team has Linear. Your creative team has Asana.
Your client work lives in Monday.com. You've set up 15 automations to keep these tools in sync.
But you still need to open three different apps to see what's happening. Automation makes the data flow better, but it doesn't solve the problem of fragmented visibility.
You're still context-switching. You're still hunting across tools. You're still missing things because you haven't checked the app that changed overnight.
Automation solved the "tasks get duplicated or fall through cracks" problem. It didn't solve the "I need to see everything I'm working on in one place" problem.
Where Aggregation Comes In
Aggregation is different. Instead of syncing data between tools, aggregation pulls a read-only view of all your tasks into one place.
Tools like Huddle, or a custom dashboard, or even a well-built spreadsheet that pulls from APIs, aggregate tasks from multiple sources. You open one dashboard and see:
- All tasks assigned to you across Asana, Linear, Jira, ClickUp, Monday
- Filtered and searchable
- Current, since it auto-syncs
- Linked back to the original tools so you can dive in when you need to
You're not duplicating data. You're not automating workflows between tools. You're creating a unified view on top of your existing tools.
Automation vs. Aggregation - The Fundamental Difference
Automation manages data flow between tools. It says: "When something happens here, make something happen there." It reduces manual sync work. It keeps tools from getting out of sync.
Aggregation creates visibility across tools. It says: "Show me everything from everywhere in one place." It doesn't change your tools. It just gives you a single view on top of them.
You need both. Automation handles the necessary data flows between tools. Aggregation gives you the visibility that automation can't.
Why Automation Alone Feels Like It Should Work
Automation is satisfying because it feels like you're solving the problem. You're building workflows.
You're automating away manual work. It feels like progress.
But automation at scale becomes maintenance hell. You've got 20 Zaps running. One breaks.
Someone on the team changes a process. Now a Zap is creating duplicates. You're spending more time maintaining automations than you would have just managing the tools.
And you still don't have the unified view. You've just reduced the pain of not having one.
The Real Cost of Not Having Unified Visibility
Without aggregation, costs compound:
Time lost to searching - Where's that task? Which tool? Do I have the latest status? This context-switching overhead adds up.
Tasks slip through - If you're not checking Jira as often as Asana, Jira tasks get forgotten. No amount of automation fixes this.
Status meetings are inefficient - You still have to hunt through tools to create status updates. Automation doesn't help because the problem isn't data flow, it's visibility.
Team communication is unclear - Someone on Slack references a Linear task. You search four tools for it. Someone else thought it was an Asana task. No automation fixes this - you need to see everything in one place.
Onboarding is painful - New team members have to learn the automation logic in addition to learning the tools. It adds complexity.
An aggregation tool eliminates all of these because it makes the problem visible. You're not hunting. You're looking at a dashboard.
When Automation Is the Right Answer
Automation is definitely right for:
Cross-tool workflows where data needs to move. When a project kickoff happens in Asana, create related issues in Linear. This should be automated.
Notifications that need to be routed. When certain tags appear on tasks, send to a Slack channel.
When a deadline passes, send an alert. Automation handles these well.
Regular reporting that pulls from multiple sources. Your weekly invoice list in a spreadsheet can be built automatically from time-tracking data.
Status synchronization between tools. When a task closes in one tool, mark it closed in another. Automation prevents them from drifting out of sync.
These are all valuable. But they're different from what you need for day-to-day visibility.
When You Need Aggregation
You need aggregation when:
You check multiple tools daily to see what you need to work on. You'd benefit from checking one.
Different team members use different tools and you need visibility across all of them.
You're spending time in status meetings hunting through tools for information that should be visible.
Your onboarding includes a complicated explanation of which tool is for what.
New work regularly goes into the wrong tool because people aren't sure where it should live.
These are all signals that your visibility problem is bigger than automation can solve.
The Ideal: Automation Plus Aggregation
The teams that work best across multiple tools do both:
Automation for the data flows that matter. When something important happens in one tool, it ripples to other tools that need to know.
Aggregation for visibility. One dashboard showing all their work, updated in real time.
They're not mutually exclusive. Automation handles the behind-the-scenes data flow. Aggregation handles the user experience of seeing everything.
FAQ
Isn't Zapier expensive if I need many zaps?
It can be. At some point, every zap you add is $29/month. If you have 20 zaps, that's $580/month just for automation. And you still need aggregation on top of that.
Can't I build my own aggregation dashboard?
You can, if you have the technical chops. You'd pull from APIs, create a dashboard, keep it updated.
For small setups, this works. For complex setups with many tools and many users, it becomes maintenance.
What's the cost of a tool like Huddle compared to Zapier?
Huddle is $99/year or $79/year depending on billing. You'd need 3-4 zaps to match that cost monthly. So if you're using Huddle for aggregation and a few Zaps for critical automation, you're usually better off than trying to solve everything with Zapier.
Should we build our own integration first?
If you have the technical team, it's worth exploring. But honestly, most teams find that combining off-the-shelf automation (Zapier) with an aggregation tool (Huddle) is faster and cheaper than building custom.
What if our tools aren't supported by Huddle?
Check compatibility. If your tools are too obscure, custom integration might be your only option. But all major tools are supported by common aggregation platforms.
Can I aggregate without automation?
You just get visibility without data flow. This is actually fine for many teams.
You see everything in the aggregator, and when you need to act, you dive into the specific tool. Automation helps but isn't required.