Case Study: How EdTech Startup Edoofa Scaled Hiring with Weekday in 2026

When a profitable, bootstrapped Edtech company chooses a hiring tool, the decision isn’t experimental. 

Edoofa has been profitable for eight years. With a team of 50–55 people, they operate lean by design. They hire across sales, operations, and student services, roles that directly impact student experience and revenue.

Deepali, who has been with Edoofa since inception and is now part of the founding group, led hiring efforts internally. Over the last year, Edoofa has used Weekday for experienced hiring roles.

Based on the conversation between Amit Singh, Founder and CEO of Weekday and Deepali, Founding Team of Edoofa, this case study answers the exact questions a founder or hiring manager would ask before adopting Weekday.

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1. What problem was Edoofa actually trying to solve?

Edoofa was not struggling with volume. They were struggling with precision and speed.

They typically hire:

• Sales professionals with 3–4 years of experience
  
  
• Operations roles
  
  
• Student services professionals (mentor-style roles)
  
  
• 20–25 campus hires during peak cycles
  
  

Because they are lean, every experienced hire carries weight. They do not operate with a large HR team. They cannot afford churn-heavy pipelines.

As Deepali put it:

“If I’m hiring 5 interns today, they’re as important to me as senior people. We’re still building.”

These hires can influence revenue, product delivery, and service quality. They simply couldn’t leave that to random volume.

So they asked:

How do we find high-intent, relevant candidates fast — without hiring a full HR team or paying huge subscription fees?

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2. Why didn’t existing platforms work?

Naukri

Deepali experimented heavily here.

• She sent up to 300 InMails daily
  
  
• Received 2–3 responses
  
  
• That’s roughly a 1% response rate
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For a selective organisation, this meant large outbound effort with minimal return.

Her observation:

“Too much mass. Too little quality.”

The filtering didn’t align with international-facing roles, and premium products didn’t justify ROI for a company not hiring in bulk year-round.

LinkedIn

LinkedIn performed better in terms of filtering. Response rates were closer to ~10%, which aligned with industry expectations.

However:

• Corporate packages cost ₹3–4 lakh annually
  
  
• Edoofa hires in bursts (20–25 hires in a quarter), not continuously
  
  
• Lighter versions were usable but limited
  
  
• Workflow required switching tabs and waiting for connection approvals
  
  

Typical timeline via LinkedIn:

• Day 0: Send connection request
  
  
• Day 2–4: Acceptance (if accepted)
  
  
• Day 3–5: Message exchange
  
  
• Day 5–7: First call
  
  

Deepali estimated that getting to a first real conversation could take 5–7 days.

For a lean team, that delay slowed the entire funnel.

Agencies

Edoofa tried multiple agencies.

One agency delivered a senior hire who exited within 2 months. No refund. No replacement.

Deepali’s summary:

“Very low accountability.”

The agency model introduced cost without control.

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3. What changed after adopting Weekday?

Edoofa has been using Weekday for approximately one year. They were among the early customers.

During this period:

• They hired 4–5 experienced professionals through Weekday
  
  
• 4 of them are still with the company
  
  
• Campus hiring (20–25 hires) continued separately
  
  

Weekday became their primary source for experienced roles.

Let’s break down what operationally changed.

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4. How did Weekday improve speed?

Deepali described the most immediate shift as speed.

On Weekday:

• Candidate contact details are available immediately
  
  
• LinkedIn profile snapshot is visible inside the platform
  
  
• Salary, notice period, activity status are visible
  
  
• Outreach can begin instantly
  
  

She shared that for a mid-level sales role:

“If I reach out to 100 people, I can arrange about 25% walk-ins within 3–4 days.”

That means roughly 25 conversations in under a week.

Compared to LinkedIn’s 5–7 day delay before even starting a conversation, the difference was structural.

She also noted:

“With Weekday, I can just make a call the same day. Same hour.”

The funnel expanded at the top without increasing team size.

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5. How did Weekday reduce operational complexity?

Unified Hiring Dashboard

Where LinkedIn and Naukri required switching between tools and inboxes, Weekday brought everything into one screen:

• candidate pool visibility
  
  
• active profile status
  
  
• AI match insights
  
  
• direct contact information
  
  

Deepali described it succinctly:

“One page. One window. I get to see everything about that person.”

This visibility — joined with direct contact details — removed multiple steps from the hiring process.

Faster Candidate Conversations

Weekday shifted the time taken to reach first conversations. Instead of 5–7 days via LinkedIn, Edoofa began engaging with candidates on the same day, often within the same hour of discovering a profile.

For a typical sales role, Deepali reported:

“If I reach out to 100 people, I can arrange about 25% walk-ins within 3–4 days.”

That pace was simply not achievable in previous workflows.

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A Key Product Feature That Made a Difference: Weekday's Resume Screener

One of the Weekday features that delivered measurable impact was Weekday's Resume Screener.

Resume Screener helps teams sort candidate profiles automatically and consistently. It analyses resumes based on:

• Job description alignment
  
  
• Skill match with weighted priority
  
  
• Role-specific signals
  
  
• Keyword triggers from your own JD
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Rather than manually scanning resumes, Deepali could filter a large inbound or outbound pool and focus on high-relevance candidates immediately.

Weekday’s AI match categorisation — Best Fit, Good Fit, and Low Fit — worked in harmony with Resume Screener. This allowed Edoofa to adopt a disciplined sourcing strategy:

1. Start with Best Fit profiles (highest priority)
   
   
2. Move to Good Fit
   
   
3. Only explore Low Fit after exhausting the top segments
   
   
4. If the fit pipeline slowed, refine the job prompt
   
   

Deepali explained how this changed behavior:

“I didn’t have to go to another platform. I could see the candidate’s LinkedIn snapshot, experience, salary expectations, activity status, and contact — all in one place.”

Resume Screener’s structured outputs boosted efficiency because it turned raw candidate lists into prioritised hiring pipelines.

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6. Why Weekday’s Resume Screener Stands Out for Recruiters

1. AI-Driven Understanding, Not Just Keyword Matching

Traditional ATS resume tools mostly work by scanning for exact keywords. That approach:

• often misses relevant skills that are phrased differently,
  
  
• fails with non-standard resume formats,
  
  
• and can’t interpret context or depth of experience.
  
  

In contrast, Weekday’s Resume Screener uses cutting-edge Large Language Models (LLMs) — similar to advanced AI like ChatGPT — to read and understand resumes. This means it:

• interprets candidate experience, not just counts keywords,
  
  
• understands context and relevance of skills even with varied phrasing, and
  
  
• identifies transferable skills recruiters might otherwise overlook.
  
  

This leads to higher precision in initial screening — so recruiters spend time on truly relevant profiles instead of sifting through mismatched ones.

2. Customisable Screening Criteria

With Weekday’s Resume Screener you can tailor the screening based on role-specific “must-have” and “good-to-have” qualifications. Recruiters simply:

• enter the job requirements,
  
  
• share the job description,
  
  
• and upload or link candidates’ resumes.
  
  

The AI then evaluates and ranks candidates according to these criteria. This helps teams prioritise the best fits faster and with higher confidence.

3. Bulk Screening — Handle Hundreds to Thousands Effortlessly

Where many tools choke on large applicant volumes, Weekday’s Resume Screener can:

• screen up to 1,000 resumes at once,
  
  
• parse them rapidly, and
  
  
• surface a ranked list of top matches.
  
  

This capability is especially useful when recruiting for mid-to-senior roles that attract many applicants or when hiring teams need to assess large talent pools quickly.

4. Detailed, Actionable Candidate Insights

Rather than just giving a pass/fail verdict, Weekday’s AI Screener provides deep insights about each resume, including:

• skills and experience relevance,
  
  
• contextual highlights,
  
  
• matches against job requirements,
  
  
• structured summaries that make candidate comparisons easier.
  
  

This saves recruiters hours of manual review and helps reduce human error or inconsistency.

5. Better Handling of Resume Variety

Unlike simple screeners that struggle when resumes use non-standard formatting, creative layouts, or unconventional wording, Weekday’s AI:

• understands content across formats,
  
  
• extracts meaning even when structure varies,
  
  
• and maintains accuracy without being tied to strict templates.
  
  

This reduces false negatives where qualified candidates are overlooked simply because their resume didn’t use exact wording or structure.

6. Bias-Reducing Evaluation

AI parsing doesn’t rely solely on keywords, which can inadvertently bias results toward generic resume styles. Instead, Weekday’s Resume Screener focuses on skills, qualifications, and real experience — helping ensure fairer evaluation across candidate profiles.

7. Ease of Use and Speed

The workflow is simple for recruiters:

1. Define your screening criteria (must-haves / good-to-haves),
   
   
2. Paste the job description,
   
   
3. Upload or share resume links,
   
   
4. Instantly receive a ranked candidate list.
   
   

Screening becomes fast, structured, and repeatable — eliminating manual resume parsing and speeding up hiring cycles.

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Measurable Outcomes of Edoofa X Weekday

Edoofa’s partnership with Weekday yielded clear performance shifts:

Experienced Hires via Weekday this year:
4–5 hires

Retained hires (still with company):
4

Time to first conversation:
Same day / same hour (vs 5–7 days previously)

Walk-in meetings from outbound outreach:
~25% within 3–4 days

Beyond counts, the real operational gain was hiring momentum without increasing headcount or internal HR burden.

Deepali highlighted this point:

“You don’t need an experienced HR to use Weekday — anyone on my team can book meetings.”

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Who Benefits Most from Weekday

Based on Edoofa’s experience, Weekday resonates strongly with:

• SMEs hiring selectively, not in bulk
  
  
• Startups that don’t have a full HR team
  
  
• B2C or D2C tech companies in growth mode
  
  
• Teams wanting direct contact channels without multi-system complexity
  
  
• Organisations that value speed, control, and precision over volume
  
  

Deepali even mentioned that the database and direct contact access extend beyond hiring — for partnership outreach, founder engagement, and business leads.

Final Takeaway

Edoofa’s journey with Weekday was structural.

Weekday helped shift hiring from:

• Slow and manual
  
  
• Fragmented across tools
  
  
• Dependent on external agencies

to:

• Fast and direct
  
  
• Unified and transparent
  
  
• Operable by generalists
  
  
• Prioritized with AI
  
  

For founders or recruiters reading this, the real question becomes:

If your team is lean, your hiring is selective, and you value speed — does your current system support that model?

Edoofa’s answer was clear.