How to Run a LinkedIn Outreach Campaign for AI User Research Decision-Makers (2026)

Quick Answer: Once you’ve built a list of Decision-Makers at AI Primary User Research Companies with Origami, you can run the entire outreach campaign directly inside Origami’s built-in LinkedIn sequencer. No exporting CSVs, no third‑party tools—find, enrich, and sequence your leads from one dashboard. Here’s your exact 3‑touch sequence, timing, and what to expect.

You followed the guide on how to build a list of Decision-Makers at AI Primary User Research Companies and now you’ve got 200 verified profiles in your Origami workspace—complete with names, job titles, company details, and even enrichment signals like tech stack and funding stage. The hard part isn’t finding them; it’s starting conversations that actually close. Let’s walk through the campaign end‑to‑end, from segmenting that list to sending and tracking it without ever leaving Origami.

Step 1: Refine and segment your list for LinkedIn

A raw export of decision‑makers at AI user research companies still needs a scalpel. If you blast the same message to a VP of Product at a Series‑B startup and a Director of UX Research at a 500‑person scale‑up, your reply rate will crater. Spend 20 minutes slicing the list inside Origami before you write a single message.

What does “qualified” look like for this audience?

Decision‑makers in AI primary user research companies fall into three clear buckets—each with different pain points and buying triggers. In Origami’s list view, you can filter and label your leads based on job title, company stage, headcount, and enrichment data.

• Product & Eng Leaders (CPO, VP Product, CTO, Head of R&D): They care about time‑to‑insight, reducing the cost of qualitative data, and integrating AI without breaking their existing stack. Origami will show you their current tools (e.g., Dovetail, Maze, UserTesting) so you can tailor your angle. Segment these if you’re selling infrastructure, analytics, or a platform that accelerates research outcomes.
• Research Ops & UX Decision‑Makers (Head of UX Research, Director of Design Ops, Research Lead): Their world revolves around participant quality, screening efficiency, and scaling studies without hiring an army. Look for enrichment flags like “recent hiring for researcher roles” or “using multiple participant recruitment tools”—those are itching for consolidation. This is the sweet spot if you offer recruitment pools, panel management, or workflow automation.
• Founders/CEOs of early‑stage AI‑native UXR startups: They’re thinking about go‑to‑market, differentiation, and product velocity. Enrichment data like funding amount, investor names, and recent press mentions helps you join the conversation at the right moment. Reach these if you’re a consulting firm, integration partner, or co‑selling channel.

You can create separate “Buckets” inside Origami and drag leads into them. My rule: one sequence per bucket. You’ll see the payoff in response rates.

Cut the dead weight

Before you launch, scan the list for:

• Job hoppers: Someone who left the company three months ago won’t convert. Origami’s enrichment flags LinkedIn activity, so you can drop any stale contacts.
• The obviously wrong title: A “Customer Success Manager” isn’t a decision‑maker, even if they’re at an AI UXR company. Filter titles to C‑level, VP, Director, and Head of. Origami’s AI already does a solid job, but do a manual sanity pass.
• Competitor users: This is your call. If you see a tool that’s directly in your space, you might want to skip—or double down with a competitive angle. The enrichment data tells you, so you’re not guessing.

Once your segments are clean, move to the fun part.

Step 2: Build your LinkedIn sequence (paste your own, or let the AI write it)

Origami’s built‑in LinkedIn sequencer gives you two paths:

1. Paste your own templates: You write the 3‑touch sequence, drop it into the sequencer, set the delays, and launch. This is what I do when I know exactly how to speak to a niche.
2. Let the AI agent write it: Ask Origami’s agent to “generate a 3‑day LinkedIn sequence for decision‑makers at AI user research companies,” and it will produce personalized messages for each lead based on their profile data—title, company, industry, tools used. Every message feels custom without you typing a word.

If you’re reading this, you probably want the template you can steal first. Here it is.

The 3‑touch playbook for AI user research decision‑makers

I’ve run this exact cadence for a service that helps UXR teams recruit qualified participants 40% faster. The messaging plays on the core tension in the space: everyone is obsessed with AI‑driven analysis, but the real bottleneck is still getting the right humans in front of the researcher.

Copy the templates below. Replace `` with your details, and keep the tone direct.

Touch 1 – Day 1: Connection request with note

Note (max 300 characters):

Hi , I follow ’s work on AI‑powered user research—really impressive how you’re automating sentiment analysis. I help teams like yours cut participant recruiting friction by 40% without losing quality. Would be great to connect.

Why this works: It acknowledges their niche, shows you’ve done your homework, and hints at a concrete metric. 90% of connection requests in this space are still generic. This one stands out.

Touch 2 – Day 3: Follow‑up message

Subject: Quick thought on ’s UXR workflow

Hey , thanks for connecting. I saw you recently launched the AI‑moderated interview beta—super cool. One thing we hear from teams scaling AI‑led research is that participant quality becomes the new bottleneck. Our platform uses predictive matching to find and verify niche users 3x faster than standard panel sourcing. Worth 10 minutes to show you how it fits alongside ’s tool?

Why this works: It switches the conversation from “here’s what we do” to “here’s a problem you might be facing.” The specific reference to their launch builds instant credibility. Keep it to 4–5 sentences.

Touch 3 – Day 7: Final message (soft close)

Subject: Last idea—bottleneck question

, I’ll keep this short. The three biggest UXR teams we work with realized their analysis tools were eating live research faster than they could source participants. If you’re open to a 15‑min call on how we solve that, awesome. If not, no sweat—happy to stay in touch. Either way, good luck with the beta.

Why this works: It creates urgency around a known pain point, offers a low‑commitment next step, and gives them a gracious exit. Many prospects who didn’t reply to touch 2 will come back here because they feel zero pressure.

How to paste these templates into Origami’s sequencer

Inside your Origami workspace, open the lead list bucket you created. Click “Create Sequence” and choose “LinkedIn Outreach.” You’ll see a builder where you can add steps.

• Touch 1 is always a connection request. Paste the note into the “Message” field. Set the delay to 0 days (sent immediately after launch, or when you schedule the start).
• Touch 2 is a follow‑up message. Paste the second template into the “Message” field and set the delay to 2 days after the connection is accepted. (This gives you the Day 1 → Day 3 cadence.)
• Touch 3 is the final message. Paste the third template and set the delay to 4 days after Touch 2.

You can also add steps like “View Profile” to warm up the lead before the request—I turn that on for ultra‑cold lists. The builder is drag‑and‑drop simple.

Now, if you don’t want to write a single line, just let the AI agent handle it. From the same list view, ask something like: “Write a 3‑touch LinkedIn sequence for these leads. Focus on participant recruitment pain points and keep messages under 100 words.” Origami will generate a personalized sequence for every lead and populate the sequence steps automatically. You can review and tweak before hitting launch.

Step 3: Launch and track everything from Origami

This is where Origami breaks the usual sales stack spaghetti. Once your sequence is ready, click “Launch” — and Origami’s built‑in LinkedIn sequencer starts sending connection requests and follow‑up messages directly. No need to export a CSV, import it into a separate tool, or worry about sync errors.

What happens after you hit launch

• Configurable delays: The sequencer respects the delays you set—Day 1, Day 3, Day 7—and only sends the next touch after the previous one is completed (e.g., connection accepted). This mimics human behavior and keeps your LinkedIn account safe.
• Un‑enrollment on reply: If a lead replies to any message, they are automatically removed from the sequence. You’ll never send a break‑up message after a booked meeting again. The conversation goes right to your inbox, but Origami logs the reply in the dashboard.
• Dashboard that stays with the lead: In the same workspace where you built the list, you can see opens, clicks, and replies per lead. While reviewing a contact’s activity, you still have access to their enriched profile—title, company, tools used, headcount. This means you never lose context when following up manually.
• No extra cost for sending: The LinkedIn sequencer is included on all paid plans. You only pay for the credits used to enrich your leads—so if you’ve already enriched 200 contacts with your free 1,000 credits (or a paid plan), sending the sequence is free.

What response rates to expect for AI user research decision‑makers

From my own runs targeting Head of UX Research and VP Product at AI‑native UXR companies, I’ve seen connection acceptance rates of 25–35% and positive reply rates (meetings booked, “interested,” questions) of 8–12% when the messaging is dialed in and the list is well‑segmented. That’s significantly higher than generic SaaS outreach because the audience is small, technical, and values precision.

When to iterate on messaging vs. the list:

• If connection acceptance drops below 20% after 100 requests, your note isn’t resonating. Try a different angle—e.g., mention a recent funding round or product update instead of the generic compliment.
• If you’ve got a healthy acceptance rate but replies stall at 3–4%, the problem is in your follow‑up. Switch the value prop you highlight in Touch 2. Maybe they care more about analytics integration than participant recruiting.
• If opens on Touch 2 are high but no one replies, your message length or ask might be off. Shorten it and make the CTA ridiculously easy.
• If all metrics are solid but you still don’t get meetings, the list segment is wrong. Go back to Step 1 and filter by a different buying trigger (e.g., only those using a competitor tool).

Because Origami gives you the full funnel—find, enrich, sequence, send, track—you can spot the leak in minutes, not weeks.