Topic:"Customer Research" in M06733

Update on Implementation of 2013 Verification and Evaluation Recommendations B C E F G K 9 10 Increase site visits to thirty. The evaluator used a very small sample of on-site visits (n=3) for this program and the evaluator recommends that...

AI summary The text discusses a recommendation to increase on-site visits for program evaluation from 3 to 30, arguing that in-person visits could uncover patterned variations not captured by telephone surveys. ENSC disagrees, stating that most evaluation can be done via phone and that the appliance has already been collected, making on-site evaluation unnecessary.

1.2.1 In-depth Interviews The 2014 evaluation methodology included in-depth interviews with ENSC staff, partners, participants and associations. Between August 2014 and January 2015, the Econoler team conducted 48 in-depth interviews with...

AI summary The 2014 evaluation methodology involved Econoler conducting 48 in-depth interviews with ENSC stakeholders, including program managers, delivery agents, and participants, to assess various energy efficiency programs. The table summarizes the number of interviews conducted per program component.

1.2.2 Surveys Using contact information provided by ENSC, CRA conducted annual and quarterly surveys with participants and builders and conducted an intercept survey with compact fluorescent lamp (CFL) and light emitting diode (LED) lamp b...

AI summary CRA conducted annual/quarterly surveys with ENSC participants and builders, and intercept surveys with CFL/LED buyers at retail stores to gather data on energy efficiency program outcomes and consumer behavior.

Quarterly Surveys In 2014, using CATI technology, CRA conducted quarterly surveys with Business Energy Rebates (BER), Business Energy Solutions and Residential Direct Install participants. These surveys consisted of contacting a sample of...

AI summary In 2014, CRA conducted quarterly surveys via CATI with BER, Business Energy Solutions, and Residential Direct Install participants to assess free-ridership and satisfaction. This method shortened the evaluation timeline compared to prior approaches, improving precision in program effectiveness analysis.

RE4. Was the replacement [refrigerator/stand-alone freezer/air conditioner unit] an ENERGY STAR or high-efficiency model? The Replacement 2013 2014 Appliance Was an ENERGY STAR® or High-Efficiency Model Refrigerators (%) Freezers (%) Air c...

AI summary The text includes questions about whether replaced appliances were ENERGY STAR or high-efficiency models and customer satisfaction with Efficiency Nova Scotia's Appliance Retirement Program. It also includes survey data on customer contact with ENSC staff and satisfaction with various factors.

Table 12: Other Discounted Products Awareness Other Discounted Products Awareness 2012 2013 2014 Sample Size 91 199 230 Yes, aware of other products 34% 45% 43% No, not aware of other products 57% 44% 47% Don't know 7% 11% 10% Skipped 2% -...

AI summary Table 12 shows awareness of other discounted products among respondents who were aware of Instant Savings. Awareness increased from 34% in 2012 to 45% in 2013, slightly decreasing to 43% in 2014. The majority remained unaware, with percentages ranging from 44% to 57%.

2 012 2013 2014 Both ENSC Awareness Overall CFL Purch. LED Lamp Purch. Both CFL/LED Lamp Purch. Overall CFL Purch. LED Lamp Purch. Both CFL/LED Lamp Purch. Overall CFL Purch. LED Lamp Purch. CFL/LED Lamp Purch. (#) Sample Size 156 88 61 7...

AI summary The text presents survey data on awareness of Efficiency Nova Scotia (ENSC) among customers in Nova Scotia, comparing responses across different years and categories such as overall, CFL purchases, and LED lamp purchases. The data shows a high level of awareness, with percentages ranging from 58% to 96% across different years and categories.

D4. Do you or does your landlord pay the electric bills for your residence? 2012 2013 2014 You Pay Electric Bills Overall (#) CFL Purch. (#) LED Purch. (#) Both CFL/LED Purch. (#) Overall (#) CFL Purch. (#) LED Purch. (#) Both CFL/LED Purc...

AI summary This table provides data on who pays the electric bills for residences in 2012, 2013, and 2014, distinguishing between respondents who pay directly, those whose landlords pay, and other categories. The data is broken down by CFL and LED purchases, with sample sizes and counts provided for each year.

Table 3: Annual Survey Sample Size and Margin of Error Annual Survey Population Sample Size (n) Margin of Error at 90% Confidence Interval 2014 Participants 2,343 100 ±8.0% 2013 Participants 1,647 101 ±7.9% 2012 Participants 1,839 80 ±9.0%...

AI summary Table 3 provides the annual survey sample sizes and corresponding margins of error for 2012 to 2014. The margin of error reflects the precision of measurements at a 90% confidence level, considering only random sampling errors and not non-sampling errors or bias.

Factor (READ AND RANDOMIZE) Responses a. The program incentive Response 98 Don't Know 99 Refused b. Information or advice provided by the program Response 98 Don't Know 99 Refused c. Information or advice from the energy audit Response 98...

AI summary The text presents a table with factors related to a program and responses, including categories such as program incentives, information provided, and previous experience with energy assessment programs. It also references demographic characteristics, indicating the data collection context.

CS28. How likely would you be to participate in other programs offered by Efficiency Nova Scotia if your household qualified? Would Participate in Other ENSC Programs 2012 2013 2014 Sample Size 132 100 99 Definitely 70% 63% 60% Probably 27...

AI summary This question asks about the likelihood of participation in other Efficiency Nova Scotia programs if a household qualified. The data shows a slight decline in participation rates from 2012 to 2014, with the highest rate of 'definitely' participating in 2012.

D7. In what age category do you fall? Are you… Respondent Age 2012 2013 2014 Sample Size 80 201 100 18 to 24 - - 1% 25 to 34 18% 16% 11% 35 to 44 14% 16% 16% 45 to 54 23% 19% 18% 55 to 64 30% 34% 33% 65 or older 15% 14% 20% Refused 1% - 1%...

AI summary This table presents age distribution data of respondents from 2012 to 2014, showing variations in sample sizes and percentages across different age categories. The data is sourced from annual and quarterly surveys conducted in 2013.

Satisfaction with Overall Experience 2012 2013 2014 Sample Size 75 70 53 5 – Very satisfied 77% 77% 80% 4 15% 20% 18% 3 7% 1% 2% 2 1% 1% - 1 – Not at all satisfied - - - Don't know removed from calculations • Table 9: Satisfaction with Ove...

AI summary The table presents customer satisfaction data with overall experience from 2012 to 2014, showing high levels of satisfaction with the majority of respondents rating 5 (very satisfied) and 4 (satisfied). The sample sizes and percentages are provided for each year.

Awareness and Participation [P Series] - P2. Now I'm going to ask you to think back to when you decided to supplement your electric space heating or completely replace it with another heating source and participate in the Green Heat Progra...

AI summary The text outlines a survey conducted to understand participants' motivations and concerns regarding the Green Heat Program, focusing on reasons for switching heating systems, influencing factors, and potential concerns about program participation.

Table 3: Participant Survey Sample Size and Margin of Error Survey Population Sample Size (n) Margin of Error at 90% Confidence Level 2014 Participants 8462 48 ±11.5% 2013 Participants 1,176 70 ±9.5% 2012 Participants 1,024 70 ±9.5% Builde...

AI summary Table 3 presents the sample size and margin of error for participant surveys conducted in 2012, 2013, and 2014. The data shows the number of participants surveyed and the corresponding margin of error at a 90% confidence level for each year.

P3. What was the SINGLE most important reason you agreed to participate in the program? [ACCEPT ONE RESPONSE] [DO NOT READ] 1 2 3 4 5 6 7 8 96. 98. 99. (To save on energy/to save on energy costs) (Comfort) (To receive free compact fluoresc...

AI summary The document contains survey questions related to customer participation in energy efficiency programs, focusing on motivations, concerns, and satisfaction levels. It explores reasons for joining the program, additional motivations, and pre-participation concerns.

Or some other type [SPECIFY:] 96 98. (Don't know) (Refused) 97 D2. bedrooms] D3. Do you own or rent this home? Own/buying 1 Rent/lease 2 Other (Describe) 3 99. (Refused) D4. Do you pay the electric bills for your home? Yes 1 No 2 96. (Othe...

AI summary The text contains a series of survey questions related to household characteristics, including ownership, number of bedrooms, payment of electric bills, and age group. It appears to be part of a data collection process for residential energy or utility programs.

Recall Receiving Information from Installer 2014 Pilot Participants Sample Size 177 Yes 87% No 12% Don't know/Refused 2% PP2a. Did you agree to wash your clothes in cold water? Agree to Wash Clothes with Cold Water 2014 Pilot Participants...

AI summary The text presents survey results from 2014 pilot participants regarding their agreement to wash clothes in cold water and related commitments. A majority (87%) agreed to receive information from an installer, and 95% agreed to wash clothes in cold water. Most participants also agreed to commitments such as follow-up calls and signing pledge sheets.

D5. Including yourself, how many people live in this residence on a full-time basis? Household Size 2014 Pilot Participants Sample Size 177 1 17% 2 53% 3 12% 4 11% 5 5% 6 2% Don't know 1% D6. What is your age group? Age of Respondent 2014...

AI summary The text presents survey data from the 2014 Pilot Participants regarding household size, age groups, and educational attainment. The data provides demographic insights into the participants, highlighting distributions across various categories.

D8. Which of the following income categories best describes your total annual household income before taxes in 2013? Household Income 2014 Pilot Participants Sample Size 177 Less than $15,000 3% $15,000 - $24,999 7% $25,000 - $34,999 15% $...

AI summary The text presents survey data from the 2014 Pilot Participants regarding household income categories and gender distribution. It includes percentages for each income bracket and gender, with a sample size of 177 participants. The data is part of a regulatory proceeding analysis.

Table 2: Survey Sample Sizes and Margins of Error Survey Population Sample Size (n) Margin of Error at 90% Confidence Interval 2014 Participants 511 19 ± 15.4%2 2013 Participants 139 45 ± 10.1% 2012 Participants 256 37 ± 12.7% The margin o...

AI summary Table 2 presents survey sample sizes and margins of error for different years, highlighting the variability in precision of measurements. The margin of error reflects random sampling errors but does not account for non-sampling errors such as data entry inaccuracies or response biases.

EXECUTIVE SUMMARY This report presents the results of the 2014 process, market and impact evaluation of Home Energy Report (HER), also known as the Energy Savings Actions program. The 2014 evaluation was based on the data and information c...

AI summary This report evaluates the 2014 Home Energy Report (HER) program, also known as the Energy Savings Actions program, through data collected from interviews, surveys, billing analysis, and savings reviews. The evaluation includes input from the Program Manager and Opower.

2.2.3 Survey In November 2014, CRA staff conducted a survey, using computer-assisted telephone interviewing (CATI) technology, with a total of 340 participants in HER's web-based component. The average length of the survey was 11.5 minutes...

AI summary In November 2014, CRA staff conducted a survey using CATI technology with 340 participants to gather feedback on HER, covering aspects such as behavioral changes, energy efficiency tips, participation motivations, and satisfaction with the program. Results are detailed in Appendix II and III.

Table 1: Survey Sample Size and Margin of Error Annual Survey Population Sample Size (n) Margin of Error at 90% Confidence Interval 2014 Participants 10,669 1 340 ±4.5% The margin of error is used to determine the level of precision 2 of t...

AI summary Table 1 presents the sample size and margin of error for a 2014 survey with a population of 10,669 participants. The margin of error at a 90% confidence level is ±4.5%, based on a sample size of 340. The margin of error accounts only for random sampling errors, not non-sampling errors such as data entry or response biases.

Table 2: Energy-efficient Behaviours Adopted Energy-efficient Behaviours Adopted 2014 Sample Size 313 Turn off lights when not needed 72% Wash clothes in cold water 57% Turn off computer at night 53% Hang laundry to dry 50% Use a ceiling f...

AI summary Table 2 presents data from 2014 on energy-efficient behaviors adopted by a sample of 313 respondents. The most common behaviors include turning off lights when not needed (72%) and washing clothes in cold water (57%), while less common behaviors include using a home power monitor (6%).

4.1.2 Usage of HER Report Three-quarters of the participants recalled signing up for HER on the ENSC website (74%). The remaining survey questions, with the exception of demographics-related questions, were posed only to this group (n=250)...

AI summary Three-quarters of HER participants signed up through the ENSC website, with energy cost savings being the primary motivation. Most participants found the information useful and engaged with the website content.

groups' attributes against the same set of criteria as listed above to ensure that the two groups were similar and comparable. A summary of the attributes analysis is presented in the following table. Parameter High-user Group Results Rand...

AI summary The text discusses a statistical comparison between a treatment group and a control group, showing that they were not significantly different based on t-statistics. Adjustments were made to improve accuracy, such as removing estimated readings, prorating readings, and excluding outliers.

6.1.6 Wash Clothes in Cold Water To establish the average annual savings value per participant, the following method was used: - › For both the control group and the treatment group: establishing their number of laundry loads done per week...

AI summary The average annual savings value per participant is calculated by analyzing the number of laundry loads done per week and the number of warm water loads, using survey data collected before and after participants signed up for the Home Energy Report (HER).

6.1.7 Hang Laundry to Dry To calculate the unitary savings value associated with this behaviour, the energy consumption of the clothes dryer was estimated for each laundry load. Using the results of the 2014 annual survey for RDI, the aver...

AI summary This section calculates the energy savings from hanging laundry to dry instead of using electric clothes dryers. It uses data on appliance energy consumption, survey results showing increased hanging of laundry, and the proportion of electric dryers in Nova Scotia to estimate savings of 46.5 kWh/year per participant.

This Appendix summarizes all the recommendations made by the Evaluator throughout this report as well as the sections from which the recommendations originated. Sections Recommendations 2 Review the raw and treated databases from Opower. S...

AI summary This section of the appendix recommends that the raw and treated Opower databases be reviewed to validate the adjustments applied, as confidentiality issues prevented this during the current evaluation. The Evaluator found the adjustment methodology to be sound but emphasized the need for future validation.

- 2. No [SAY "Perhaps you can help me anyway." GO TO INTRODUCTION] INTRODUCTION I2. Hello, my name is and I am with CRA (Corporate Research Associates), and we are performing a study on energy efficiency behaviours among households in Nova...

AI summary A representative from CRA (Corporate Research Associates) is conducting a survey on energy efficiency behaviors among Nova Scotia households for Efficiency Nova Scotia Corporation (ENSC). The survey aims to gather information on household energy usage patterns to improve energy efficiency services.

[ASK ALL PARTICIPANTS] - B1. In the last 12 months, did you or someone else in your household purchase one or more energy-efficient appliances for your home? - 1. Yes - 2. No [GO TO B5] - 8. (Don't Know) [GO TO B5] - 9. (Refused) [GO TO B5...

AI summary This section of the document contains a series of questions aimed at gathering data on energy-efficient appliance purchases and energy-saving behaviors within households over the past 12 months. The questions are structured to collect detailed responses on specific appliances and behaviors.

D3. Do you pay the electric bills for your home? 1. 2. Yes No 96. 98. 99. (Other) [Specify] (Don't Know) (Refused) D4. Including yourself, how many people live in this residence on a full-time basis? Number of people: [NOTE: DON'T ALLOW ZE...

AI summary The text presents a series of survey questions related to household energy usage, including inquiries about paying electric bills, household size, age, education level, and income. These questions are part of a data collection effort to understand consumer characteristics and energy consumption patterns.

B1. In the last 12 months, did you or someone else in your household purchase one or more energy-efficient appliances for your home? Purchased an Energy Efficient Appliance 2014 Sample Size 340 Yes 38% No 61% Don't know/Refused 1% B2. I am...

AI summary The text presents survey data on the purchase of energy-efficient appliances by households in the last 12 months. It includes percentages of respondents who purchased specific appliances, such as energy-efficient clothes washers, dishwashers, and refrigerators, as well as other appliances like heat pumps and dehumidifiers.

BL9. Do you own a clothes dryer? Own a Clothes Dryer 2014 (%) Sample Size 110 Yes 98% No 2% Base: Respondents who hung laundry to dry BL10. Is it an electric or gas clothes dryer? Type of Clothes Dryer 2014 (%) Sample Size 108 Electric 97%...

AI summary The data shows that 98% of respondents who hang laundry to dry own a clothes dryer, with 97% of those owning an electric dryer and 3% owning a gas dryer. The sample size for these responses was 110 and 108 respectively.

BL11. Did you own a clothes dryer before signing up for your online Home Energy Report? Own Clothes Dryer Prior to HER 2014 (#) Sample Size 2 Yes 1 No 1 Base: Respondents who do not own a clothes dryer BV1. In the last 12 months, did you p...

AI summary The text includes survey questions related to home energy use and participation in energy efficiency programs. It asks respondents if they owned a clothes dryer before signing up for the Home Energy Report and whether they participated in Efficiency Nova Scotia's Residential Direct Install program, including their recall of discussions about cold water washing.

BC5. What types of computers do you turn off at night? Types of Computers Turned off at Night 2014 (%) Sample Size 121 Laptop computer 67% Desktop computer 66% Tablet/iPad 8% Others 4% Base: Respondents who turned off computer at night Mul...

AI summary The text presents survey data on computer usage habits, specifically focusing on the types of computers turned off at night, the activation of power-saving modes, and the time it takes for computers to enter power-saving mode. The data is based on a sample size of 121 respondents.

D5. What is your age group? Are you… Respondent Age 2014 Sample Size 340 18 to 24 1% 25 to 34 5% 35 to 44 11% 45 to 54 22% 55 to 64 33% 65 or older 27% Refused 1% D6. What is the highest grade of schooling completed by the head of your hou...

AI summary The text presents demographic data collected in 2014, including age distribution, education levels, and household income categories of respondents. The data is organized in tables and includes sample sizes and percentages for each category.

2.2.3 Surveys One annual survey with a total of 27 participants and four quarterly telephone surveys with a total of 68 participants were conducted by CRA staff in Halifax. Only participants who took part in the regular Mail-In process (an...

AI summary An annual survey with 27 participants and four quarterly telephone surveys with 68 participants were conducted by CRA staff in Halifax. Only participants who participated in the regular Mail-In process were included in the sample, excluding those who took part in the promotional rebate.

Annual Participant Survey For the annual survey, the interviews were conducted in October and November 2014 using computer-assisted telephone interviewing (CATI) technology. The average length of the survey was eight minutes. The annual su...

AI summary The annual participant survey was conducted in October and November 2014 using CATI technology. It aimed to collect feedback on the BER Mail-in program, covering aspects like participation, awareness, motivations, satisfaction, and recommendations for improvement. Results are detailed in appendices.

Table 3: Annual Survey Sample Size and Margin of Error Annual Survey Mail-in Rebate Population Sample Size (n) Margin of Error at 90% Confidence Interval 2014 Participants 198² 27 ±14.7% 2012 Participants 175 56 ±9.9% Quarterly Participant...

AI summary Table 3 provides data on the annual survey sample size and margin of error for 2014 and 2012 participants, highlighting the relationship between sample size and the precision of survey results.

Table 4: Quarterly Surveys Sample Size and Margin of Error Quarterly Survey Mail-in Rebate Population Sample Size (n) Margin of Error at 90% Confidence Interval 2014 Participants 198 68 ±8.1% 2013 Participants 260 80 ±7.7% The margin of er...

AI summary Table 4 presents sample sizes and margins of error for quarterly surveys conducted in 2013 and 2014. The margin of error indicates the precision of the measurement at a 90% confidence level, but it does not account for non-sampling errors or biases.

4.2 Participant Perspectives An annual participant survey was conducted as part of the BER Mail-in evaluation. In addition to the questions designed for impact evaluation purposes, survey participants were asked questions related to progra...

AI summary An annual survey was conducted as part of the BER Mail-in evaluation to assess program awareness, barriers, and satisfaction among participants, in addition to impact evaluation questions.

Satisfaction [S series] - S1. On a scale of 1 to 5, where 1='not at all satisfied' and 5='very satisfied', how was your company or organization's experience with each OF THE FOLLOWING aspects of the Business Energy Rebates Program? If your...

AI summary The text outlines a survey assessing satisfaction with the Business Energy Rebates Program, focusing on aspects such as application processes, eligibility confirmation, rebate amounts, and overall program experience. It includes rating scales and open-ended questions for feedback on challenges and recommendations.

FR2a installed exactly the same energy-efficient [MEASURE CATEGORY] equipment that you installed through the Program? Response 98 Don't Know 99 Refused FR2b installed standard [MEASURE CATEGORY] equipment? [MEASURE CATEGORY] equipment inst...

AI summary This section of the document contains survey questions related to the installation of energy-efficient equipment through a program, including responses such as 'Don't Know' and 'Refused'. It also includes conditional questions based on the number of installations.

\ \ Percentage of respondents who gave a rating of completely or mostly satisfied where 5 = 'Very satisfied' and 1 = 'Not at all satisfied'; Don't know removed from calculations \ \ Source: 2012 C-Sat Commercial Study S29. And based on you...

AI summary The text discusses customer satisfaction with Efficiency Nova Scotia's programs, referencing a 2012 C-Sat Commercial Study and asking respondents how likely they are to recommend the programs to others.

Would Participate in Other ENSC Programs 2012 (%) 2013 (%) 2014 (%) Sample Size 30 78 68 Definitely 77% 72% 81% Probably 23% 23% 19% Probably not - 3% - Definitely not - 3% - Don't know/refused have been removed from calculations Source: 2...

AI summary The text presents survey data from 2012 to 2014 on participation in ENSC programs and factors influencing the implementation of energy-efficient measures through the Business Energy Rebates Program. It highlights high participation rates and the importance of ENSC rebates as a key factor in decision-making.

2.2.2 Survey In the fall of 2014, CRA staff in Halifax conducted a telephone survey with a total of 11 Custom Retrofit participants, using computer-assisted telephone interviewing (CATI) technology. The average length of the survey was 16...

AI summary In 2014, CRA conducted a telephone survey with 11 Custom Retrofit participants to gather feedback on free-ridership, program awareness, motivations, satisfaction, and recommendations. A census was conducted due to the small population size of 27 participants.

4.1 Participant Perspectives A participant survey was conducted as part of the Custom Retrofit evaluation. In addition to the questions designed for impact evaluation purposes, survey participants were asked questions related to program aw...

AI summary A participant survey was conducted as part of the Custom Retrofit evaluation, including questions on program awareness, influence, and satisfaction, in addition to impact evaluation questions.

Satisfaction [S Series] - CS1. How did your company first learn of the programs offered by Efficiency Nova Scotia? DO NOT PROVIDE RESPONSE CATEGORIES - CODE AS MANY AS APPLICABLE - 1 . Media advertising - 2. Someone at Efficiency Nova Scot...

AI summary This section of the regulatory proceeding document includes survey questions related to customer satisfaction with Efficiency Nova Scotia programs. It asks how companies learned about the programs, their level of satisfaction with various aspects of the Custom Program, and whether they had direct contact with Efficiency Nova Scotia employees or worked with third-party contractors.

Would Recommend Custom Retrofit to Other Businesses/Companies 2012 (#) 2013 (%) 2014 (#) Sample Size 9 29 11 Definitely 6 97% 7 Probably 3 3% 4 Probably not - - - Definitely not - - - Don't know/refused have been removed from calculation \...

AI summary The table presents survey results from 2012 to 2014 regarding the likelihood of businesses recommending custom retrofits to others. In 2012, 6 out of 9 respondents definitely would recommend, while in 2013, 97% of 29 respondents definitely would recommend, and in 2014, 7 out of 11 respondents definitely would recommend.

2.2.2 Surveys An annual telephone survey with a total of 62 participants and four rounds of quarterly telephone surveys with a total of 129 participants were conducted by CRA staff in Halifax.

AI summary An annual telephone survey with 62 participants and four quarterly surveys with 129 participants were conducted by CRA staff in Halifax to gather data.

Annual Survey For the annual survey, the interviews were conducted in October and November 2014 using computer-assisted telephone interviewing (CATI) technology. The average length of the survey was 9 minutes. The annual survey was used to...

AI summary The annual survey conducted in 2014 using CATI technology aimed to understand aspects of the Business Energy Solutions (BES) program, including spillover, program awareness, participant motivations, satisfaction, and recommendations for improvement. Survey results are detailed in Appendices III and IV.

Table 3: Annual Survey Sample Size and Margin of Error Annual Survey Population Sample Size (n) Margin of Error at 90% Confidence Interval 2014 Participants 7611 62 ±10.0% 2013 Participants 588 61 ±10.0% 2012 Participants 1,239 76 ±9.1% 1...

AI summary Table 3 presents the annual survey sample sizes and margin of error for different years, showing the population size, sample size, and margin of error at a 90% confidence interval for the BES participants in 2012, 2013, and 2014.

Table 4: Quarterly Survey Sample Size and Margin of Error Quarterly Surveys Population Sample Size (n) Margin of Error at 90% Confidence Interval 2014 Participants 761 129 ±6.6% 2013 Participants 588 138 ±6.1% The margin of error is used t...

AI summary Table 4 outlines the sample sizes and margins of error for quarterly surveys conducted in 2013 and 2014. The margin of error indicates the precision of the measurements at a 90% confidence level, but it does not account for non-sampling errors or biases.

4.1 Participant Perspectives An annual and four quarterly participant surveys were conducted as part of the BES evaluation. In addition to the questions designed for impact evaluation purposes, survey participants were asked questions rega...

AI summary Annual and quarterly surveys were conducted as part of the BES evaluation to assess program awareness, barriers, and satisfaction among participants.

Satisfaction (Series S) - CS1. How did your company first learn of the programs offered by Efficiency Nova Scotia? DO NOT PROVIDE RESPONSE CATEGORIES - CODE AS MANY AS APPLICABLE . - 1 Media advertising - 2 Someone at Efficiency Nova Scoti...

AI summary The text outlines survey questions related to customer satisfaction with the Business Energy Solutions Program offered by Efficiency Nova Scotia. It includes inquiries about how customers learned about the program, their overall satisfaction, reasons for dissatisfaction, and their experience with Efficiency Nova Scotia employees versus third-party contractors.

[ IF YES ] - SP4i_1.What are the other energy-efficiency products that you have installed since participating in the Business Energy Solutions Program? [RECORD VERBATIM. RECORD DIFFERENT PRODUCTS SEPARATELY. PROBE FOR A SPECIFIC ANSWER. DO...

AI summary The text outlines survey questions related to the Business Energy Solutions Program, asking participants about additional energy-efficiency products installed and the influence of the program on their decisions. The questions include specific instructions for recording responses and handling missing or refused answers.

Suggestions 2012 2013 2014 Sample Size 76 61 62 Better communication/Hard to get in contact with 7% 8% 6% Increase advertising/marketing 9% 5% 5% Better quality control/Ensure job gets done right - 5% 5% Quicker process 5% 3% 2% Cover more...

AI summary The table presents customer suggestions and feedback across three years (2012–2014) regarding the Building Energy Standards (BES) program. It highlights areas for improvement such as communication, advertising, quality control, and process efficiency, with the majority of respondents indicating no recommendations or refusing to provide feedback.

INTRODUCTION Hello, I am with CRA (Corporate Research Associates), and we are performing an evaluation of energy efficiency services provided by Efficiency Nova Scotia Corporation. Our records indicate that you or your firm recently partic...

AI summary CRA is conducting an evaluation of Efficiency Nova Scotia Corporation's Business Energy Solutions Program and is seeking input from participants. The survey aims to assess program effectiveness and identify areas for improvement.

2.2.3 Survey In November 2014, CRA staff conducted a survey, using computer-assisted telephone interviewing (CATI) technology, with a total of 340 participants in HER's web-based component. The average length of the survey was 11.5 minutes...

AI summary In November 2014, CRA conducted a survey using CATI technology with 340 participants to gather feedback on the HER program, covering aspects like behavioral changes, satisfaction, and recommendations for improvement. The results are detailed in Appendices II and III.

Table 1: Survey Sample Size and Margin of Error Annual Survey Population Sample Size (n) Margin of Error at 90% Confidence Interval 2014 Participants 2 10,669 340 ±4.5% The margin of error is used to determine the level of precision 3 of t...

AI summary Table 1 provides the sample size and margin of error for a 2014 survey, with a population of 10,669 and a sample size of 340, resulting in a margin of error of ±4.5% at a 90% confidence interval. The margin of error reflects random sampling errors, excluding non-sampling errors such as data entry or response bias.

INTRODUCTION I2. Hello, my name is and I am with CRA (Corporate Research Associates), and we are performing a study on energy efficiency behaviours among households in Nova Scotia for Efficiency Nova Scotia Corporation (ENSC). We would app...

AI summary A representative from Corporate Research Associates (CRA) is conducting a survey on energy efficiency behaviors among Nova Scotia households for Efficiency Nova Scotia Corporation (ENSC). The survey aims to gather information on household energy usage patterns to improve ENSC's energy efficiency services.

B1. In the last 12 months, did you or someone else in your household purchase one or more energy-efficient appliances for your home? Purchased an Energy Efficient Appliance 2014 Sample Size 340 Yes 38% No 61% Don't know/Refused 1% B2. I am...

AI summary The text presents survey data on energy-efficient appliance purchases in the last 12 months. It shows that 38% of respondents purchased at least one energy-efficient appliance, with the most common being energy-efficient clothes washers, dishwashers, and refrigerators.

Likelihood of Insulating Windows Without HER 2014 (#) Sample Size 18 Definitely 13 Probably 4 Probably not 1 Definitely not - Base: Respondents who insulated with heat shrink film BW3. On what type of window did you mostly install heat-shr...

AI summary A 2014 survey of 18 respondents who insulated windows with heat shrink film found that 13 were likely to do so again, with most installing it on sliding or double-hung windows. Respondents installed heat shrink film on an average of 3.9 windows.

CS27. Based on your personal experience, would you definitely, probably, probably not, or definitely not recommend the programs offered by Efficiency Nova Scotia to others? Would Recommend Programs to Others 2014 (%) Sample Size 247 Defini...

AI summary The text presents survey results regarding customer satisfaction with Efficiency Nova Scotia's programs. A majority of respondents (53%) would definitely recommend the programs, while only a small percentage (5%) would probably not. Additionally, most respondents (72%) had no recommendations for improving the Home Energy Report, though some suggested more detailed information and better clarity.

2.2.3 Survey In November 2014, CRA staff conducted a survey, using computer-assisted telephone interviewing (CATI) technology, with a total of 340 participants in HER's web-based component. The average length of the survey was 11.5 minutes...

AI summary In November 2014, CRA conducted a survey using CATI technology with 340 participants to gather feedback on the HER program. The survey aimed to collect insights on behavioral changes, energy efficiency tips, participation motivations, and satisfaction with the program. Results are detailed in Appendix II and III.

Table 1: Survey Sample Size and Margin of Error Annual Survey Population Sample Size (n) Margin of Error at 90% Confidence Interval 2014 Participants 10,6692 340 ±4.5% The margin of error is used to determine the level of precision[3](#pag...

AI summary Table 1 provides the sample size and margin of error for the 2014 survey, with a population of 10,6692 and a sample size of 340, yielding a margin of error of ±4.5% at a 90% confidence interval. The margin of error reflects precision and considers only random sampling errors, excluding non-sampling errors like data entry or response biases.

6.1.6 Wash Clothes in Cold Water To establish the average annual savings value per participant, the following method was used: - › For both the control group and the treatment group: establishing their number of laundry loads done per week...

AI summary The method used to calculate average annual savings involves analyzing laundry habits of participants, including the number of laundry loads done per week and the proportion of those done in warm water, based on survey data collected before and after signing up for the Home Energy Report.

This Appendix summarizes all the recommendations made by the Evaluator throughout this report as well as the sections from which the recommendations originated. Sections Recommendations Executive Summary 1 Explain in greater detail the cha...

AI summary The appendix outlines recommendations for improving the Home Energy Report (HER) program. It suggests detailing HER's characteristics, reviewing Opower's databases, and conducting a billing analysis to ensure the program's effectiveness is accurately evaluated.

INTRODUCTION I2. Hello, my name is and I am with CRA (Corporate Research Associates), and we are performing a study on energy efficiency behaviours among households in Nova Scotia for Efficiency Nova Scotia Corporation (ENSC). We would app...

AI summary A representative from CRA (Corporate Research Associates) is conducting a study on energy efficiency behaviors among Nova Scotia households for Efficiency Nova Scotia Corporation (ENSC). The survey aims to gather information on household energy usage patterns to improve energy efficiency services.

H2. Thinking of this online report, in general, what have you done with it? Did you… Done with HER 2014 Sample Size 250 Read the website content thoroughly 38% Read some of the website's content 34% Skim some of the website's content 13% G...

AI summary The text discusses user engagement with the Home Energy Report (HER) online, including how users interacted with the report and the primary reason for signing up. It includes a table showing the percentage of users who read different portions of the report and a question about the most important reason for signing up.

BL4. Did you purchase this outdoor clothesline/outdoor drying rack in the past 12 months? 2014 Purchase Clothesline/Drying Rack in Past 12 Months Clothesline (%) Drying Rack (#) Sample Size 94 9 Yes 23% 2 No 77% 7 Base: Respondents who use...

AI summary The text presents survey data on the purchase of outdoor clotheslines and drying racks, participation in the Instant Savings program, and household laundry frequency. It includes statistics on purchase rates and discounts received, based on a sample of respondents.

BL9. Do you own a clothes dryer? Own a Clothes Dryer 2014 (%) Sample Size 110 Yes 98% No 2% Base: Respondents who hung laundry to dry BL10. Is it an electric or gas clothes dryer? Type of Clothes Dryer 2014 (%) Sample Size 108 Electric 97%...

AI summary The text presents survey data from 2014 regarding the ownership of clothes dryers in Nova Scotia. It shows that 98% of respondents who hung laundry to dry owned a clothes dryer, with 97% of those owning an electric dryer and 3% owning a gas dryer.

BL11. Did you own a clothes dryer before signing up for your online Home Energy Report? Own Clothes Dryer Prior to HER 2014 (#) Sample Size 2 Yes 1 No 1 Base: Respondents who do not own a clothes dryer BV1. In the last 12 months, did you p...

AI summary The text presents survey data regarding ownership of clothes dryers prior to signing up for the Home Energy Report (HER) and participation in the Residential Direct Install (RDI) program, including recall of discussions with installers about cold water washing. The data is from 2014 and includes sample sizes and percentages.

CS27. Based on your personal experience, would you definitely, probably, probably not, or definitely not recommend the programs offered by Efficiency Nova Scotia to others? Would Recommend Programs to Others 2014 (%) Sample Size 247 Defini...

AI summary The text presents survey results regarding customer satisfaction with Efficiency Nova Scotia's programs. A majority of respondents would recommend the programs, with 53% definitely recommending them. Most would also likely participate in other programs if eligible. A small percentage suggested improvements to the Home Energy Report, such as more detailed information and clearer content.

NON-CONFIDENTIAL 1 2016, 2017 and 2018 would include the number of schools participating in the Green 2 Schools Nova Scotia program, the number of students participating in Green Teams and 3 the number of students affected by the program,...

AI summary The text outlines quantifiable benefits of energy efficiency programs from 2016-2018, including participation metrics for Green Schools Nova Scotia, community engagement outcomes, and social media impact. It references ENSC's Summer Tour growth, CRA survey results showing increased visitor satisfaction and energy behavior adoption, and the potential of social media for outreach.

NON-CONFIDENTIAL 1 Also included under Education and Outreach are expenditures associated with advertising 2 and the Efficiency Nova Scotia website. Quantitative benefits have not been directly 3 linked to corporate advertising or the ENS...

AI summary The text discusses Education and Outreach expenditures, including advertising and ENS website metrics. Advertising recall increased from 57% (Q4 2012) to 74% (Q4 2014), while website visits rose 15% in 2014. Unaided awareness of ENSC grew from 16% to 37% between 2012–2014. PACE financing is highlighted as a quantifiable benefit for ENS Residential services from 2016–2018.

27, 2015 E1 (NSPI) IR-4 Page 1 of 2 2016-2018 Supply Agreement for EECA M06733 (E-ENS-R-15) E1 Responses to NSPI Information Requests NON-CONFIDENTIAL 1 b) ENS gathers insights on the status of market transformation from a variety of activ...

AI summary ENS outlines methods for assessing market transformation through research, evaluations, and industry interactions, emphasizing that market size does not determine the need for such efforts. ENS also asserts that its measures are not high-risk.

NON-CONFIDENTIAL 1 provide insight into all relevant customer interactions” (page 23, lines 12-14), and “Efficiencies 2 are expected to be in the form of reduced time spent on data processing and reporting [and] a 3 reduction in external c...

AI summary The text discusses the handling of customer data in the context of a regulatory proceeding, noting the legal duty to protect personal information and the provision of aggregate data at the program component level for 2012-2014. It outlines the information that is and is not being provided, including the absence of customer location data and annual energy consumption.

NON-CONFIDENTIAL 1 Request IR-2: 2 3 Did EfficiencyOne request that the customer database be supplied to the independent 4 evaluator (Econoler), either directly by NSPI or through EfficiencyOne? 5 6 (a) If so, did NSPI provide an exact cop...

AI summary The text includes questions and responses related to data sharing practices involving EfficiencyOne, NSPI, and Econoler. It addresses whether data was provided to an independent evaluator and whether NSPI would share customer datasets with EfficiencyOne and Econoler, emphasizing privacy obligations.

- Educating customers on ways to conserve energy, reduce peak demand, achieve cost-effective energy savings and lower their electric utility bills; 1 • of of DSM awareness the value participating in Increasing public 2 programs; 3 • of soc...

AI summary The document outlines strategies to educate customers on energy conservation, reduce peak demand, and achieve cost-effective energy savings through various programs and initiatives. It emphasizes public awareness, community engagement, and the use of digital tools and media to promote energy efficiency.

- Examining motivations and barriers to participation; - Examining trends and preferences in energy consumption behaviour; include: • 25 26 27

AI summary The text outlines the examination of motivations and barriers to participation, as well as trends and preferences in energy consumption behaviour. It appears to be part of a broader analysis related to customer engagement and energy usage patterns.

we would do is look to other jurisdictions to see if they offer similar programs and what incentives they offer and reach out to them and understand how they arrived at that, was there research, etc. But even in our – whether it's an estab...

AI summary The discussion focuses on methods used to determine incentive levels for energy programs, including research, customer surveys, and direct negotiations. Mr. Faulkner explains that marketing teams determine optimal price points through customer surveys, while acknowledging the process has varying levels of rigor. The Chair questions whether the process sufficiently prevents overpayment in incentives.

- Educating customers on ways to conserve energy, reduce peak demand, achieve cost-effective energy savings and lower their electric utility bills; 1 • of of DSM awareness the value participating in Increasing public 10 Research: 11 of Res...

AI summary The text discusses the importance of educating customers on energy conservation and reducing peak demand through Demand-Side Management (DSM) programs. It highlights the need for research and innovation to ensure ENS programs reflect current technologies and consumer behavior, and explores opportunities for improving DSM initiatives.