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Activity for Sebastian Arnold

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Introduction |  The previous operations of SoCon depended heavily on a spreadsheet-based CRM system which had its limitations regarding scalability. Also, it required high administrative effort, had no integration capability with communication services and was not able to efficiently track customer repayments. For this reason, it was crucial to develop a series of systems that would make up our ‘CRM’ and allow for growth in a simplistic and efficient manner. Continuing from December’s...

Sebastian Arnold
by Sebastian Arnold
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Sebastian Arnold

Lean Phase: Key Metrics We experienced that the indicators in use to monitor the financial performance of payment plans does only provide very basic information and lacks the functionality of revenue and cash flow forecasting. Assumption: The intention of this experiment is to validate that the accounting software in use (XERO) is capable of providing accurate financial statistics/projections to manage product-based loans/payment plans. Time Box: 4 weeks Success Metrics: This...

Sebastian Arnold
by Sebastian Arnold
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Sebastian Arnold

Lean Phase: Channel Assumption: Through implementing the new CRM it will improve relationships with customers and generate a more efficient communication system. By implementing and integrating an automated messaging service with the CRM, we expect that we will have enhanced communication and connection with our customers. Time Box: 4 weeks (Validate at the end of February) Success Metrics: % of customers understand the messages they receive from us % of customers...

Zack Heap
by Zack Heap
1 Votes
Comments 1
Zack Heap

Link to Original Experiment: https://projecteverest.crowdicity.com/post/828730   Lean Phase : Customer Segment   Assumption:  Creating a Risk Profiling method will reduce the current default rate by ensuring that loans are only provided to those who will be able to pay it back.  By interviewing existing customers with a mix between defaulting and non defaulting we will be able to gain metrics which will be used to create an algorithm to test if we can give out a payment...

Harrison Groth
by Harrison Groth
0 Votes
Comments 0
Harrison Groth

Lean Phase: Channel testing   Assumption: The implementation of a USSD system will improve the ability for customers to voice any issues with their payment plans and therefore improve our customer service.   Time Box: 2 weeks (or time to survey 30 customers)   Success Metric: Metric This experiment measures whether the implementation of a USSD system into our business will improve our ability to communicate with customers with concerns over their payments.   The...

Harrison Groth
by Harrison Groth
0 Votes
Comments 0
Harrison Groth

Lean Phase: Customer Segment Assumption: Creating a Risk Profiling method will reduce the current default rate by ensuring that loans are only provided to those who will be able to pay it back.  By interviewing existing customers with a mix between defaulting and non defaulting we will be able to gain metrics which will be used in our algorithm to test if we can give out a payment plan. We assume that there will be similarities in characteristics between defaulting customers which will...

Olivia Dressler-Smith
by Olivia Dressler-Smith
1 Votes
Comments 1
Olivia Dressler-Smith

Lean Phase : Customer Segment Assumption : With the defaulting rate of customers paying back on solar products on a repayment plan being at an alarmingly high 49%, we are testing the assumption that greater risk profiling at POS can mitigate this risk. To do this we are rolling out a risk profiling system which begins with a survey at the POS of repayment plans for solar products. Each answer of this survey adds or subtracts from that person’s ‘creditworthy’ total. If, after all the...

Rafael Branton
by Rafael Branton
2 Votes
Comments 1
Rafael Branton

Lean Phase: Customer Segment   Assumption: Creating a Risk Profiling method will reduce the current default rate by ensuring that loans are only provided to those who will be able to pay it back   Time Box: 2 weeks (or time to profile 30 defaulted customers)   Success Metric: Metric This experiment measures whether our current defaulting customers would have been rejected a loan had we risk profiled them with other new profiling survey.   We will measure this over 2...

Harrison Groth
by Harrison Groth
1 Votes
Comments 0
Harrison Groth

Lean Phase: Customer Segment   Assumption: Creating a Risk Profiling method will reduce the current default rate by ensuring that loans are only provided to those who will be able to pay it back   Time Box: 2 weeks (or time to profile 30 defaulted customers)   Success Metric: Metric This experiment measures whether our current defaulting customers would have been rejected a loan had we risk profiled them with our new profiling survey.   We will measure this over 2...

Harrison Groth
by Harrison Groth
0 Votes
Comments 0
Harrison Groth

LEAN PHASE Channels   ASSUMPTION The current default rate from solar product based loans is 49%. The intention of this experiment is to validate that price points are not the primary reason for customers defaulting. The assumption that SoCon will validate is: The lack of risk profiling has contributed to high default rates   TIME BOX 2 weeks (or time taken to survey 30 customers)   SUCCESS METRIC This experiment is designed to measure a potential reason for the...

Harrison Groth
by Harrison Groth
0 Votes
Comments 0
Harrison Groth

Lean Phase : Channel Testing Assumption : The current default rate from Solar product based loans is 49%. The intention of this experiment is to validate that the price points are not the primary reason for defaulting consumers. The assumption that SoCon will validate throughout this experiment is: The lack of communication with the customers has caused high default rates., In particular, we are testing the assumption that consistent reminders to pay loans and telling customers how...

Rafael Branton
by Rafael Branton
1 Votes
Comments 0
Rafael Branton
Work Update

The operations of SoCon depend to a large amount on the spreadsheet-based CRM system. Its current primary function is to record and keep track of repayments for the product-based instalments of the solar product, that is sold in collaboration with the solar consulting team. Further essential information held in the CRM are customer profiles and their respective guarantors, outstanding payments and leads. We experienced throughout this month that the CRM does not provide the required...

Sebastian Arnold
by Sebastian Arnold
1 Votes
Comments 3
Sebastian Arnold
 

Sebastian Arnold

Sydney, Australia

Joined this community on Sep 3, 2018

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