ICP 1: Independent Cybersecurity Professional ( Researchers & Consultant )
ICP 2: Enterprise IoT Security & Compliance Teams
ICP 3: IoT Security Students ( University level learners & Early Professionals)
Method Used for defining personas
1. Analysis of all paid customer profiles
2. Analysis of visitors ; company data sourced from ZoomInfo
3. Analysis of visitors - who sign up for free course.
Criteria | ICP 1: Independent Cybersecurity Professional | ICP 2: Enterprise IoT Security & Compliance Teams | IoT Security Students ( University Level Learners & Early Professionals ) |
20-40 Year Old | 30-50 Year Old | 18-28 Year old | |
Region: Primary - US, UK, Germany ; Secondary - India | Region: Primary - US, UK , Germany ; Secondary - India | Region: Primary - US, UK , Germany ; Secondary - India | |
Small security consulting firms, IoT security, Bug Bounties | Industries - Automative, industrial IoT, Manufacturing, Smart Devices. | Industries - Cybersecurity, Embedded Systems, IoT Development | |
Pen-testers, Red Teamers, Bug Bounty Hunters, IoT Security Consultants. | Security Professional working in large enterprises & industrial IoT companies. | University students & fresh graduates in cybersecurity, IoT, and embedded systems | |
Security professionals who need advanced IoT hacking skills for client work & bug bounty programs | Teams responsible for IoT Security assessments, compliance, and vulnerability management. | Early-career professional transitioning into IoT Security | |
IoT security is a niche, high-paying field - learning these skills increase their earning potential. | Their companies design, manufacture, or deploy IoT devices, which are high-risk targets for cyber threats. | Practical IoT security training missing in university courses. | |
More companies demand IoT pentests, and they want to expand their consulting services. | Regulatory compliance (ISO 21434, NIST 800-183, EU, Cyber Resilience Act) requires their team to have IoT security expertise. | Hands-on experience helps them get internships or entry-level jobs. | |
Bug bounty programs are offering rewards for IoT vulher abilities —> learning these skills is financially valuable. | They need structured corporate training for their security engineers & analyst | Prepare them for future certification & professional growth. | |
IoT Security training is hard to find —> most available courses are not hands-on | Compliance risk - struggle to meet IoT security compliance standards. | Theoretical university courses don’t provide hands-on hacking practice. | |
Lack of structured labs and real-world scenarios —-> needs interactive practice with real IoT vulnerabilities | Lack of in-house IoT security training - most security teams are general cybersecurity experts, not IoT-specific. | Lack of affordable IoT security courses for students. | |
Stiff competition in bug bounties & consulting —> need advanced skills to stand out | High cost of third-party security assessment - need to upskill internal teams to reduce dependency on external vendors. | Tough job market –> needs extra certification to stand out. | |
Learns via practical, hands -on training ( HTB, TryHackMe, CTF challenges ) | Learns via structured, corporate training programs | Consume free content first (youtube, free course) before buying paid content | |
Engages in online security communities ( Reddit IoT Security, Discord, Twitter/X) | Engages in IoT security conferences ( DEFCON, IoT Villages, Nullcon, Hardware.io) | Prefer structured certifications to add to resumes | |
Prefer self-paced, in-dept courses | Trends to follow compliance related cybersecurity content (LinkedIn, Industry Report) | Follow security professionals on Twitter/LinkedIn/youtube | |
Decision makers - The individual learns | Decision Makers: CISO, Security Manger, Compliance Officer. | Decision maker - The Student or University | |
Decision blockers - High Pricing | Decision Blocker: Budget constraints, internal approval processes for training. | Decision Blocker - High pricing or lack of university endorsement | |
Multiple courses per year ( Basis ups killing requirement ) | Quarterly or Annual Team Training Cycles. | Low cost courses at the start, then upgrade to advanced training over time. | |
Hands-on labs used frequently for real-world hacking practices. | New team members need onboarding in IoT security training. | Uses training material for internships & job application. |
Criteria | Adoption Rate | Appetite to Pay | Frequency of Use Case | Distribution Potential | TAM ( users/currency) | Priority Ranking |
ICP 1 - Independent Cybersecurity Professional | High | Medium | Medium - High | Medium | 1000 user | 2 |
ICP 2 - Enterprise IoT Security & Compliance Team | Moderate | High | Medium - High | High | 1400 users | 1 |
ICP 3 - IoT Security Students (University Level Learner’s &. Early Professionals) | Low | Low | High | Moderate | 1100 users | 3 |
Priority Ranking:
1. Enterprise IoT Security & Compliance Teams —> High distribution potential, high frequency of use, and significant TAM.
2. Independent Cybersecurity Professional —-> High adoption rate and willingness to pay but medium frequency of use and distribution potential.
3. IoT Security Students —-> High frequency of use but low adoption rate and low willingness to pay, making it the lowest priority.
ICP 1: Independent Cybersecurity Professionals ( Researchers & Consultants)
User Goals & JTBD
Goal Type | User Goal | JTBD |
---|---|---|
Primary - Functional | Master IoT Pen-testing for consulting and bug bounty | Gain real-world hacking skills to offer IoT security assessments or monetise bug bounties. |
Secondary - Financial | Increase income from IoT Security projects | Expand client service and get higher-paying IoT security contracts. |
Validation
ICP 2 : Enterprise Security & Compliance Teams
User Goals & JTBD
Goal Type | User Goal | JTBD |
---|---|---|
Primary - Functional | Train internal security teams on IoT Security Compliance | Ensure in-house security teams are skilled in IoT security to reduce third-party assessment costs and meet ISO 21434, NIST 800-183 compliance |
Secondary - Financial | Minimise security risks & compliance penalties | Avoid legal liabilities and cyber risks by training security professionals in secure IoT development |
Validation
ICP 3: IoT Security Students ( University Level Learner’s & Early Professionals )
User Goals & JTBD
Goal Type | User Goal | JTBD |
---|---|---|
Primary - Functional | Gain IoT Security skills for internships & jobs | Acquire hands-on IoT hacking knowledge to stand out in job applications. |
Secondary - Financial | Invest in skill-building at a student-friendly cost | Access affordable training to bridge the university-industry skill gap. |
Validation
Onboarding Process
Sign-Up Process
What’s Working | What’s not working | Changes/Improvement | |
---|---|---|---|
Ease of Access | CTAs like “Enroll Now“ or “Signup“ serve same purpose, its more like trying to get users to sign-up to the platform. On multiple occasion. | on home page, “Store“ button is highlighted - it nudges users to click on store ; instead of ”Signup“ | make sure that, sing-in & sign-up buttons stay at right up corner ; and ‘store‘ button can take normal placement in the menu section, probably before contact us. |
Steps and Fields | Only 3 form fields, and Password bar - has “checkmark“ which shows the password progress. | NA | NA |
User Guidance | NA | There is no overall progress indicator for the page / which generally many pages shows | I don‘t think, similar progress bar is needed - so ; i am not recommending any changes as such |
First-Time User Experience
what’s working | what’s not working | Improvement | |
---|---|---|---|
Welcome Message | email verification process | user can‘t login - if email is not verified [ minor issue ] | it force user to verify email ; then only login - if such condition can be removed ; and if we give 1 month to user to verify - then we can decrease one friction point |
There are no personalisation in the verification email. | implement personalisation | ||
Onboarding Flow, Guided Tours, Tutorials | There are clearly no guided tours ; once user sign in his account ; there is no clear defined guide - helping him what to do next. | Create guided flow for user, once user sing-in ; clearly defining - what user can do ; which courses user can complete first, there is scope for personalisation as well |
Feature Discovery
In our case “feature discovery“ means experiencing the actual product ; that is course material. - which can be, free course or any knowledge base that we share.
what’s working | what’s not working | Improvement | |
---|---|---|---|
Introduction to features | Paid courses are shown | There is no clear distinction, between, paid and free course, they are random ; user ; | User need to be “nudge“ towards completing free course ; or either - completing ”learning experience“ by watching some portion of paid course. |
User engagement | There are no interactive elements, there is option for community and asking questions, but that’s not being effectively communicated to users | Use - existing LMS interactive elements like ; community, and q&a |
User Interface & Experience
what’s working | what’s not working | improvements | |
---|---|---|---|
Consistency | Design consistency is maintained across all the landing pages. | NA | NA |
Usability | Ease of use - good | NA | NA |
First Success Milestone
what’s working | what’s not working | Improvement | |
---|---|---|---|
Defining Success | Once user complete the course, as he download the certificate - there is this “nudge“ with chance to be, lucky draw winner by sharing it on social media | As experince is not targeted towards, completing first course - users coming to this point is too much dependent on motivation of the user; whole platform don’t help in any way in the process. | Define - success milestone, and nudge users towards that’s via - written communication and visual communication. |
Reinforcement: Positive Feedback, Next Step | User can download certificate and share it on social | No clear next step defined! | Basis on what, user has completed next step can be created. |
Continuous Engagement
what’s working | what’s not working | improvement | |
---|---|---|---|
Follow-up Communication:Emails/notification | No follow-up messages are being sent at this moment | Follow-up messages sequence to be implemented | |
Re-Engagement: Inactive Users | No re-engagement sequence is set | Setup re-engage net sequence |
AHA Moment - Where does it occur?
3 Potential AHA moments in user journey
Primary AHA Moment - Completing the first hands-on exercise
AHA Moment - Watching the first expert led training module
AHA Moment - Getting certified for a completed module/course
✅ Complete the first hands-on lab within 48 hours of signing up
(X action = completing first hands-on lab, Y time = within 48 hours)
📌 Explanation:
This metric is a strong predictor of user retention and engagement. If users complete their first hands-on lab within 48 hours:
• It reinforces the habit of learning and using EXPLIoT Academy.
• It reduces drop-off rates, as users experience the platform’s core value early.
• Hands-on labs showcase practical cybersecurity skills, leading to a higher chance of course completion.
🔍 How to Track & Optimize This Metric
Tracking Metric | Why It Matters? |
% of users who start the first hands-on lab | Ensures users are engaging early |
% of users who complete the first lab in 48 hours | Core activation metric |
Drop-off rate between starting & completing the lab | Identifies friction points |
Average time taken to complete the lab | Helps streamline user experience |
Activation Metic - Hypothesis Considered
Activation Metric Considered | Reason | Selected As Primary Activation Metric? | Reason for Primary Selection | Impact on Revenue |
---|---|---|---|---|
Complete the first hands-on lab within 48 hours | Strong predictor of engagement and retention, users who complete a hands-on lab early are more likely to finish the course | User who engage early are more likely to complete the course | Higher course completion rate, leads to repeat purchase | |
Watch the first 30 minutes of video content in 3 days | Indicate interest and engagement | No | watching video is passive, does not guarantee active learning. | Lower impact |
Enroll in at least 2 courses within the first week | Users enrolling in multiple courses show a stronger commitment to learning | No | Aspirational action ; user may enroll but never start a course. | Medium |
Log in at least 3 times in the first week | Frequent logins indicate habit formation and potential engagement with content | No | Logging in does not equate to actual learning or completion | Lower - to medium |
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