How to Get LinkedIn Recommendations Fast (Without Feeling Awkward)
Why Recommendations Matter to Recruiters
Before you start asking, understand why recommendations matter:
1. They're proof - A recommendation is a third-party endorsement. A recruiter trusts it more than anything you write about yourself.
2. They're recent signals - If you just asked for recommendations, it signals you're actively job searching. Recruiters want to know this.
3. They provide specific context - A recommendation often includes details about what you shipped, how you worked with others, or what impact you had. This specificity matters.
4. They reduce recruiter risk - Recruiters know that if someone took 2 minutes to write a recommendation, they probably worked well with you. It's a trust signal.
The data: Profiles with 3+ recommendations get 3x more recruiter outreach than profiles with zero recommendations, all else equal.
The 5-Day Recommendation Plan
You're going to get 3 strong recommendations in 5 days. Here's how.
Day 1: Identify Your 3 People
You need three types of recommendations:
1. A former manager or direct report - Someone who can speak to your performance, work style, and impact.
2. A peer or colleague - Someone you worked closely with in a shared role (same team, adjacent teams, or cross-functional collaboration).
3. A client, customer, or external stakeholder - Someone outside your company who can speak to your work from a customer/partner perspective.
Why three types? A recruiter sees all three and gets a 360-degree view. A manager-only recommendations set looks one-dimensional. A peer-heavy recommendation set might lack depth on impact.
Criteria for each person:
- Recent - They worked with you within the last 2-3 years. A recommendation from 2019 is less impactful than one from 2024.
- Specific - They can speak to something concrete you did together (a project you shipped, a problem you solved, a metric you improved).
- Reputable - They have a credible profile themselves. A recommendation from someone with 200 connections and no company affiliation looks suspicious.
- Responsive - They're someone who tends to respond to messages and gets things done.
How to identify them:
- Former managers: Who did you report to in your last 2-3 roles?
- Peers: Who did you spend the most time with? Who did you collaborate with on high-impact work?
- Clients/customers: Who could speak to the impact of your work from their perspective?
Choose people who know your work well and who you'd genuinely want to work with again.
Day 2: Send the Ask (with a Ghostwritten Draft)
Here's what makes this work: You don't just ask for a recommendation. You provide a draft. This reduces the friction from "I don't know what to write" to "I just need to edit this."
Email Template: The Ask (For a Manager)
Subject: "Quick favor - LinkedIn recommendation"
Body:
"Hi [Name],
I'm exploring my next opportunity and LinkedIn recommendations have been really helpful in the job search. Would you be willing to write a short recommendation for me? I've been fortunate to work with you for [length of time] and I think it would be valuable for recruiters to hear from you.
I've drafted something below to make it easy. Feel free to edit, rewrite, or ignore entirely—I just want to make it as frictionless as possible for you.
[INSERT GHOSTWRITTEN DRAFT]
Let me know if you need any clarification or want to adjust anything. And thanks so much for taking the time.
Best,
[Your name]"
Email Template: The Ask (For a Peer)
Subject: "Can you do me a favor?"
Body:
"Hi [Name],
I'm in job search mode and I'm asking a few people who I worked closely with to write LinkedIn recommendations. You were one of the first people who came to mind since we collaborated so closely on [project/initiative].
I drafted something below based on our work together. Feel free to edit, simplify, or rewrite—whatever feels authentic to you.
[INSERT GHOSTWRITTEN DRAFT]
Let me know if you need anything or if you'd rather write your own from scratch. Either way, I'd really appreciate it.
Thanks,
[Your name]"
Email Template: The Ask (For a Client/Customer)
Subject: "A quick LinkedIn recommendation"
Body:
"Hi [Name],
Thanks again for such a great working relationship. As I'm exploring my next opportunity, I'd love to have a LinkedIn recommendation from you (if you're open to it). You have a unique perspective on how our partnership created value for your team.
I've drafted a short recommendation below based on the work we did together. Edit as you see fit, but I wanted to make it easy for you.
[INSERT GHOSTWRITTEN DRAFT]
Let me know if this works for you, or if you'd rather write your own. Either way, thanks for considering.
Best regards,
[Your name]"
Key Elements of These Templates:
1. Make it optional - "If you're willing..." or "If you're open to it..." gives them an out without awkwardness.
2. Acknowledge the relationship - Mention a specific project or context where you worked together.
3. Provide a draft - This is the secret. It reduces friction from 80% to 20%.
4. Give them permission to edit/rewrite - "Feel free to rewrite entirely" shows confidence and removes pressure.
Day 3: Write Your Ghostwritten Drafts
Now the hardest part: writing the drafts that other people will (mostly) submit as-is.
The trick is to make them:
- Specific (not generic)
- Honest (not inflated)
- Concise (under 100 words)
- Written in their voice (not yours)
Ghostwritten Draft Template:
"[Person's name] is an exceptional [role]. I had the pleasure of working with them for [time period] at [company/context]. They [specific action/achievement]. What stood out was their ability to [specific strength]. This resulted in [quantified outcome or impact]. I'd strongly recommend [him/her] for roles where [type of role or context]. They're the kind of person who [closing personal note about working style or impact]."
Example 1: Manager Recommendation
Draft written from manager's perspective:
"Sarah is an exceptional product manager. I had the pleasure of leading her for 2 years at Stripe, where she owned the payments dashboard product line. She shipped 15+ features, drove user retention improvements of 35%, and consistently pushed our team to think bigger about customer problems. What stood out was her ability to synthesize user feedback, prioritize ruthlessly, and ship. This resulted in the product becoming our second-largest revenue driver. I'd strongly recommend Sarah for senior PM roles at B2B SaaS or fintech companies. She's the kind of person who makes everyone around her better."
Why this works: Specific (payments dashboard, 15+ features, 35% retention improvement), honest (real numbers, real outcome), concise (90 words), written in manager's voice (first-person authority, specific observations).
Example 2: Peer Recommendation
Draft written from peer's perspective:
"I worked alongside Alex on the growth team at Square for 2 years. He was the go-to person for product-led growth initiatives. He owned the feature experimentation program, designed experiments that informed 80% of our quarterly roadmap decisions, and helped us scale user onboarding efficiency by 40%. What impressed me was his rigor with data and his ability to explain complex results to non-technical stakeholders. I'd recommend Alex for product strategy or growth PM roles where data rigor and clear communication are essential. He's a rare combination of analytical and collaborative."
Why this works: Specific (experimentation program, 80% roadmap informed, 40% onboarding efficiency), honest (specific metrics), concise (85 words), written from peer perspective (colleague voice, specific collaboration examples).
Example 3: Client/Customer Recommendation
Draft written from customer's perspective:
"I worked with Jamie for 1 year as the support and enablement lead for our company. She was our account manager at [company]. Jamie's proactive approach to our partnership meant she didn't wait for problems to surface—she identified gaps in our workflow and proposed solutions. This resulted in 35% faster issue resolution and higher team adoption of our tools. What set her apart was her ability to listen and translate what she heard into concrete improvements. I'd recommend her for any account management or customer success role. She's the kind of partner every company wants."
Why this works: Specific (35% faster resolution, higher adoption), honest (real outcome), written from customer perspective (customer voice, appreciation tone).
Day 4: Follow Up (Gently)
Send your emails on Day 2. On Day 4, check in if you haven't heard back.
Follow-Up Email:
Subject: "Re: Quick favor - LinkedIn recommendation"
Body:
"Hi [Name],
Wanted to check in on my recommendation ask from a couple days ago. I know you're busy, but if you have 5 minutes, I'd really appreciate it.
The draft is below again (or here's the link to the request on LinkedIn if you prefer using their platform).
[REINSERT DRAFT]
No pressure at all—but let me know if you need anything from me or if you'd rather write your own.
Thanks,
[Your name]"
Keep it light. Don't guilt them. If they don't respond after a gentle follow-up, move to someone else.
Day 5: Publish and Thank
Once recommendations start coming in (they should by Day 5 if your ask was solid), do two things:
1. Accept the recommendation immediately on LinkedIn. This sends them a notification and closes the loop.
2. Send a thank-you message within 24 hours.
Thank-You Message:
"Hi [Name],
Thank you so much for taking the time to write that LinkedIn recommendation. I really appreciate you taking a few minutes to do that, and your perspective on [specific thing they mentioned] means a lot to me. Looking forward to staying in touch and collaborating again in the future.
Best,
[Your name]"
Short. Genuine. Shows you actually read what they wrote.
Common Mistakes to Avoid
Mistake 1: Asking Too Generally
Bad: "Would you be willing to write me a LinkedIn recommendation?"
This is vague. They have no idea what to write.
Good: "Would you be willing to write a LinkedIn recommendation? I've drafted something below based on our work together on the payments dashboard project."
Gives them context and a starting point.
Mistake 2: Making It Too Formal
Bad: "I hope this message finds you well. I am writing to respectfully request a professional recommendation on LinkedIn..."
This sounds like a cover letter. It creates pressure and distance.
Good: "Hey [Name], quick favor—would you write a LinkedIn recommendation for me? Drafted something below..."
Casual. Natural. Lower pressure.
Mistake 3: Not Providing a Draft
Bad: "Would love a recommendation whenever you get a chance. Feel free to write whatever you think is best."
This puts the burden entirely on them. Most will say yes and then never get around to it.
Good: "I've drafted something below to make it easy. Edit as needed."
Reduces friction dramatically.
Mistake 4: Asking Too Many People at Once
Bad: Asking 10 people for recommendations at the same time.
This looks desperate and you'll get mediocre responses from people who feel pressured.
Good: Ask 3 people in a staggered way (Day 2, Day 3, Day 4).
This signals intentionality and gives each person time to respond.
Mistake 5: Accepting Mediocre Recommendations
If someone writes a recommendation that's generic, vague, or inaccurate, don't accept it. Instead, send a private message:
"Thanks for writing that. I really appreciate it. One small thing—could you be more specific about [project/outcome]? That detail would be really helpful for recruiters."
Most people will edit. If they don't, you can decline and ask someone else.
How Recommendations Fit Into Your Proof Pillar
Your recommendations are the core of Your Proof pillar. They work best alongside:
- Featured work - Links to products you've shipped, articles you've written, or projects you've led
- Verified skills - Skills section that aligns with your recommendations
- Recent activity - Recommendations from the last 6-12 months signal you're actively job searching
If you have 3 strong recommendations but no featured work and no recent activity, the recommendations carry less weight. All 4 pillars work together.
The Science of Recommendation Strength
Recruiters evaluate recommendation quality quickly. Here's what they look for:
Specificity: "Sarah is great" vs. "Sarah shipped 12 features in 6 months." The second is clearly stronger.
Quantification: "She improved performance" vs. "She improved query response time from 500ms to 50ms." The second shows concrete impact.
Recency: A recommendation from 2024 is worth 3x more than one from 2019.
Authority: A recommendation from a senior manager at a recognizable company carries more weight than one from a junior peer at an unknown company.
Length: 70-100 word recommendations are ideal. Shorter (under 50 words) looks perfunctory. Longer (over 150 words) gets skimmed.
If your recommendations score high on all these dimensions, they become a competitive advantage.
Timeline for Recommendations in Job Search
When should you ask for recommendations?
- Week 1 of job search: Start asking for recommendations immediately. Don't wait.
- Ongoing: Ask for new recommendations every 3-4 months, even while employed. Fresh recommendations signal active job search.
- Post-offer: If you get an offer, don't wait to ask. Fresh recommendations from recent interactions carry the most weight.
The fresher your recommendations, the stronger they signal you're actively seeking and recently doing strong work.