Task 1: Product Growth Strategy for Resume Review Feature

1. User Research

1.1 What is the resume review feature?

A resume review tool is an online platform or software designed to evaluate and provide feedback on resumes. It typically analyzes various aspects of a resume, including structure, content, formatting, grammar, and relevance to the job description. These tools often use algorithms and artificial intelligence to assess resumes quickly and provide suggestions for improvement.

By using a resume review tool, job seekers can identify weaknesses in their resumes and make necessary adjustments to increase their chances of landing interviews and securing employment opportunities.

1.2 How do people get resume reviews today?

People get their resumes reviewed through various methods, including:

1. Professional Services:
2. Many individuals opt to hire professional resume writers or career coaches who offer personalized resume review services.
3. These professionals provide detailed feedback and suggestions to improve the effectiveness of the resume.
4. Peer Review:
5. Job seekers often seek feedback from friends, family members, or colleagues who have experience in hiring or resume writing.
6. Peer review can provide valuable insights and different perspectives on how to enhance the resume.
7. Online Platforms:
8. There are numerous online platforms and communities where individuals can submit their resumes for review by peers or experts.
9. These platforms may offer both free and paid services, allowing users to receive feedback from a diverse range of reviewers.
10. Career Centers:
11. Many universities, colleges, and community organizations have career centers or job placement services that offer resume review as part of their support for students and alumni.
12. These centers may provide in-person or online resume workshops and one-on-one advising sessions.

1.3 Who needs resume reviews in IK (Target Audience)?

Based on research on target audience of Interview Kickstart, the TA can be divided into the following segments:

1. Experienced Software Professionals (assuming 60% of TA)

• Demographics: Aged 25-45, with 5+ years of experience.
• Psychographics: Driven by career advancement, value continuous learning.
• Behaviors: Actively seek top tech company positions, engage in networking and skill enhancement.

1. Software Engineers Preparing for Technical Interviews (assuming 30% of TA)

• Demographics: Varied age groups, diverse backgrounds.
• Psychographics: Motivated to excel in tech interviews, dedicated to skill improvement.
• Behaviors: Engage in technical interview prep, participate in mock interviews, seek feedback.

1. Job Seekers in the Tech Industry (assuming 10% of TA)

• Demographics: Diverse ages and backgrounds.
• Psychographics: Aspiring tech professionals, driven by innovation.
• Behaviors: Actively search for tech job opportunities, tailor resumes, attend industry events.

General Characteristics:

• Customers based out of the US and India
• Typical Designations of these Customers are in Technical Roles

1.4 How are the online tools faring against each other’s features and offerings (Competitor Analysis)?

We will now analyze a few online tools and their offerings, USP, and features to understand the market further.

Top Resume Review Products & Services:

1. Resume Worded:
2. This AI-powered tool scores your resume on various aspects like impact, brevity, and style.
3. It offers suggestions for improvement and provides real-life examples from successful resumes for inspiration (https://resumeworded.com/).
4. Enhancv:
5. Their free resume checker uses AI to analyze your resume for 16 key points including formatting, keywords, and content relevance.
6. It also checks for consistency and offers customization suggestions based on industry (https://enhancv.com/resources/resume-checker/).
7. Jobscan:
8. This platform boasts an ATS resume scanner that analyzes your resume for Applicant Tracking System (ATS) compatibility.
9. It checks for keywords, formatting, and best practices to optimize your resume for getting past the initial screening.
10. Jobscan also offers a free resume builder (https://www.jobscan.co/resume-scanner).
11. Kickresume:
12. This AI-powered resume checker provides an instant score and identifies areas for improvement.
13. It compares your resume to successful resumes in their database and offers personalized tips to enhance its quality (https://www.kickresume.com/en/).
14. TopResume:
15. While not exactly a review tool, TopResume offers a free resume analysis with feedback on content, formatting, and keywords.
16. They also highlight your strengths and suggest additional skills to include (https://www.topresume.com/resume-review).

A tabular representation of the USP of these tools based on key features:

(Table from Notion — see original for full data.)

1.5 What are some growth strategies implemented by these players?

When we analyze the growth strategies of these companies, we can make some educated guesses about which strategies are working best for these resume review products services:

(Table from Notion — see original for full data.)

2. Growth Strategy for Interview Kickstart

2.1 Focus Metrics & Objectives

To grow the usage of the resume review tool within the InterviewKickstart, we have devise strategies at each stage of the growth funnel i.e. Acquisition, Activation, Retention, Referral & Revenue.

(Table from Notion — see original for full data.)

2.2 Product Growth Strategies & Solutions

Acquisition (Optional)

1. Targeted Content Marketing:
2. Social Media Ads:
3. Partnerships:
4. Activation/Adoption
5. Seamless Integration:
6. Personalized Insights:
7. Multiple Report Options:
8. Retention
9. Progress Tracking:
10. Actionable Recommendations based on Job Descriptions:
11. Exclusive Content:
12. Loyalty Programs:

Revenue (Optional)

1. Premium Reports:
2. Priority Review Option:
3. Targeted Upsell Offers:

Referral (Optional)

1. Referral Programs:
2. Social Sharing Buttons:
3. Referral Tracking:

2.3 Prioritization

We have listed multiple solutions based on different metrics, now we can proceed to prioritize these solutions based on the RICE prioritization framework.

RICE Score Calculation:

RICE Score = (Reach x Impact x Confidence) / Effort

Prioritization:

Strategies are prioritized based on their RICE score, with higher scores indicating greater potential value.

1. Adoption Strategies

(Table from Notion — see original for full data.)

2. Retention Strategies

(Table from Notion — see original for full data.)

3. Conclusion

Thus some of the best growth strategies that can be implemented for the growth of resume review feature are as follows

1. Adoption:
2. Clear tutorial & instructions to use the Resume Review tool.
3. Implement auto-parsing of uploaded resumes and generate the report in a single click
4. Use targeted landing page towards TA to increase more usage of the resume review feature.
5. Retention:
6. Provide additional information in reports in paid plans.
7. Implement progress tracking systems and elements of gamification for better retention.
8. Recommend improvements in resume based on a provided job description.

---

Task 2: Analyzing Feedback, Tracking Metrics, and Further Iterations

1. Feedback

We are going to perform a qualitative feedback analysis from Google PlayStore Reviews of KickResume, one of the players in the resume review and builder application.

Source: Kickresume: AI Resume Builder - Apps on Google Play

1.1 Definition of Mixed Feedback:

Mixed Feedback according to me are user reviews with 2/3/4-star rating out of 5. We are going to performing a sentiment analysis using chatGPT of some of the feedback from here and summarizing the points here:

1.2 Mixed Reviews (2/3/4-star reviews):

• Paid account offers more templates, but users feel they can achieve similar results with free tools like Canva or MS Word.
• The AI resume feature provides mechanical results that require extensive editing, making it more efficient to write one’s resume manually.
• Users report compatibility issues with downloaded resumes, as they can only be edited within Kickresume and not in MS Word.
• Frustration is expressed over the lack of assistance and functionality, leading some users to seek alternative resume-building apps.
• Specific issues include continuous crashing, difficulty in signing in with LinkedIn on the mobile app, and inability to pay for subscriptions or change promo codes on the website.
• Users desire improvements such as the addition of a photo cropping feature and less restriction of basic features behind a premium paywall.
• Mixed reviews include positive experiences like “Good” and “Great experience” alongside negative comments about the app’s pricing model, with some users expecting it to be free.
• Users appreciate the app’s ability to quickly generate CVs and cover letters from templates.
• Some users find the AI suggestions unrealistic and potentially harmful to their job prospects.
• There are requests for improved functionality, such as the ability to import resumes from Indeed and better organization of educational details.
• Users express frustration with the separation of mobile and web subscriptions, suggesting a need for better integration.
• Positive feedback acknowledges the app’s helpfulness but often comes with suggestions for improvement or requests for access to premium features.
• There’s a mix of positive and negative sentiments regarding the app’s usability, with some finding it easy to use while others struggle with certain aspects.
• Users highlight the app’s paid nature, indicating a desire for more affordability or transparency regarding the limitations of the free version.
• Users appreciate the app’s organization and refinement of resumes.
• The analysis or revision tool is praised for its effectiveness.
• Users find the app relatively simple to use with decent-looking templates.
• Positive comments are made about the AI writing feature, the number of templates available, and the ease of creating valuable resumes.
• Some users express gratitude for the app’s assistance in obtaining better job opportunities.
• The app is described as easy to use, excellent, amazing, and helpful by various users.
• Suggestions are made to improve the app by adding more design templates, enhancing AI-powered features, and allowing resume creation in other languages.
• Users also request additional functionalities like AI cover letter writing and photo cropping.
• Some users mention that while they find the app good, they wish it was free or had more free features.
• Users express a desire for more font options to ensure compatibility with ATS apps used by employers.
• There are requests for more template options, with some users suggesting at least 50-60 templates for greater variety.
• Some users express frustration over the app’s pricing model, stating that it charges for features that should be free.
• Others mention issues with accessing the upgraded version or compatibility problems with ATS apps due to font choices.
• A few users report issues such as continuous crashing, difficulty accessing features, and problems with resume arrangement or editing.

2. Feedback Analysis

Lets proceed to analyze the feedback to understand the pain points of the users and how can we track them using product metrics.

2.1 Categorization of Feedback into Themes

(Table from Notion — see original for full data.)

3. Solutions and Iterative Improvements

The following are a list of solutions that can be implemented to improve the above metrics

1. Enhance AI Capabilities
2. Refine AI algorithms to generate more targeted and realistic resume content.
3. Train the models with more high quality resumes for better output.
4. Highlight Unique Features
5. Clearly communicate Kickresume’s advantages over free tools.
6. Improve the landing page to the product.
7. Highlight features such as advanced formatting options, recruiter-approved templates, or in-depth resume analysis.
8. Highlight that Canva’s Templates are not ATS friendly and may negatively impact job search.
9. Re-evaluate Freemium Features
10. Offer a more compelling free tier.
11. Make core functionalities like basic templates and editing tools free of cost.
12. Offer combined subscriptions
13. Create a unified subscription that covers both mobile and web access.
14. Improve app stability
15. Address bugs causing crashes, login issues, and payment problems.
16. Speak to technical team and carry out efforts to optimize code, database schema
17. Explore integrating multiple payment options.
18. Enhance Functionality
19. Implement requested features like photo cropping
20. Import options from Indeed and LinkedIn
21. Improve organization tools for educational details.
22. Ensure ATS compatibility
23. Test resumes generated by Kickresume for compatibility with Applicant Tracking Systems (ATS) used by employers.
24. Expand template library
25. Offer a wider variety of templates across different industries and design styles.
26. Increase font options
27. Provide a broader selection of fonts proven compatible with ATS software.
28. Internationalization
29. Explore offering resume creation in additional languages to cater to a wider user base.
30. Usability improvements
31. Conduct user testing to identify and address any pain points in the app’s interface and iterate on them.

(Table from Notion — see original for full data.)

4. Conclusion

Hence, as a product manager, I would take up all the solutions listed above, and prioritize them based on their rank calculated from RICE framework. Here are the top 3:

1. Addition more features such as photo cropping, import options and ATS compatibility.
2. Improving app stability, reducing payment drop-offs and reduce crashes.
3. Highlight unique features by making improvements to the landing page of the product.

---

Task 3: GTM Strategy for Auto-Apply Feature on LinkedIn

1. Objective

• Increase brand awareness and user acquisition:
  • Drive awareness of Interview Kickstart’s new auto-apply feature, particularly among active and passive job seekers on LinkedIn.
  • Attract new users to the platform by showcasing the feature’s value proposition.
• Boost user engagement and feature adoption:
  • Encourage existing Interview Kickstart users to activate and experiment with the auto-apply feature.
  • Motivate users to explore customization options and personalize their job search experience.
• Enhance application volume and interview opportunities:
  • Increase the number of job applications submitted through the auto-apply feature for IK’s TA.
  • Ultimately, aim to improve the user’s interview conversion rate by connecting them with relevant job openings.
• Gather user feedback and optimize the feature:
  • Continuously collect user feedback on the auto-apply experience through surveys, support channels, and user recordings.
  • Leverage insights to refine the feature’s functionality, improve user interface elements, and personalize user journeys.

2. Target Audience

We have already discussed the Target Audience of Interview Kickstart in the above section:

While the feature is for IKs TA, we should further segment the TA into primary and secondary segments:

• Primary: Active job seekers on LinkedIn with complete profiles

  • This group is actively searching for new job opportunities and likely has a complete profile on LinkedIn that showcases their skills and experience.
  • They are familiar with the platform and comfortable using its features.

• Secondary TA: Passive job seekers who might be open to new opportunities (based on engagement metrics)

  • This group may not be actively applying to jobs but might be open to new opportunities.
  • They might show signs of engagement on LinkedIn, such as updating profiles, reading job postings, or following relevant companies.

3. Landing Page

3.1 Key Messaging:

1. Headline: “Land your dream job faster. Interview Kickstart’s Apply Tool automatically applies you to relevant jobs on LinkedIn.”

• For Primary Segment:
• For Secondary Segment:

1. Highlighting the Benefits

• Save time and effort in the job search process.
• Increase application volume and interview opportunities.
• Get matched with highly relevant jobs based on your profile.
• Stay competitive by being among the first applicants.
• Show graphs, charts highlighting the improvements in metrics on using the feature vs applying manually on LinkedIn

1. User Testimonials

• Showcase testimonials of users who have benefitted from the feature and have found their desired opportunities.

1. Video Tutorials

• Include video tutorials of using the auto-apply on LinkedIn feature from IK

1. Pricing

• Educate users about the free trial, and the pricing after the free trial ends.

1. CTA

• Try the Feature on Free-Trial
• Signup for Waitlist (Pre-Launch)

3.2 Pre-Launch Strategy:

1. Website Tease

• Update the Interview Kickstart website with a countdown timer
• Create an intriguing copy hinting at the upcoming feature

1. Early Access Program

• Offer a limited early access program for a select group of users.
• This fosters a sense of exclusivity and gathers valuable feedback before full launch.

1. Social Media Polls & Quizzes

• Run interactive polls and quizzes on social media platforms to gauge user interest in auto-apply features and gather data on preferred functionalities.

3.3 Launch Strategy

1. Live Q&A Session

• Host a live Q&A session on LinkedIn or YouTube with a product expert demonstrating the auto-apply feature
• Addressing user concerns with respect to the feature

1. Partner Webinars

• Collaborate with career coaches or recruitment agencies to host joint webinars showcasing the new feature and its benefits for job seekers.

1. Free Trial with Auto-Apply Boost

• Offer a free trial period with a boosted limit on auto-applications to incentivize users and showcase the feature’s value.

3.4 Post-Launch Strategy

1. Heatmaps & User Recordings

• Utilize heatmaps and user recordings to understand user experience with the auto-apply feature.
• Identify areas of confusion or friction and optimize for ease of use.

1. Provide Tracking & Insights to Users

• Evaluate the results from the feature usage and make them available to users in the form of dashboards and reports.

1. Personalized Feature Updates

• Based on user data and application success rates, personalize the auto-apply experience.
• Recommend relevant job filters, suggest cover letter templates, or highlight skills mentioned in job descriptions that align with the user’s profile.

4. Operational Checklist

(Table from Notion — see original for full data.)